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Ögmundsdóttir Michelsen H, Sjölin I, Bäck M, Gonzalez Garcia M, Olsson A, Sandberg C, Schiopu A, Leósdóttir M. Effect of a Lifestyle-Focused Web-Based Application on Risk Factor Management in Patients Who Have Had a Myocardial Infarction: Randomized Controlled Trial. J Med Internet Res 2022; 24:e25224. [PMID: 35357316 PMCID: PMC9015765 DOI: 10.2196/25224] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 02/09/2021] [Accepted: 12/28/2021] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND Cardiac rehabilitation is central in reducing mortality and morbidity after myocardial infarction. However, the fulfillment of guideline-recommended cardiac rehabilitation targets is unsatisfactory. eHealth offers new possibilities to improve clinical care. OBJECTIVE This study aims to assess the effect of a web-based application designed to support adherence to lifestyle advice and self-control of risk factors (intervention) in addition to center-based cardiac rehabilitation, compared with cardiac rehabilitation only (usual care). METHODS All 150 patients participated in cardiac rehabilitation. Patients randomized to the intervention group (n=101) received access to the application for 25 weeks where information about lifestyle (eg, diet and physical activity), risk factors (eg, weight and blood pressure [BP]), and symptoms could be registered. The software provided feedback and lifestyle advice. The primary outcome was a change in submaximal exercise capacity (Watts [W]) between follow-up visits. Secondary outcomes included changes in modifiable risk factors between baseline and follow-up visits and uptake and adherence to the application. Regression analysis was used, adjusting for relevant baseline variables. RESULTS There was a nonsignificant trend toward a larger change in exercise capacity in the intervention group (n=66) compared with the usual care group (n=40; +14.4, SD 19.0 W, vs +10.3, SD 16.1 W; P=.22). Patients in the intervention group achieved significantly larger BP reduction compared with usual care patients at 2 weeks (systolic -27.7 vs -16.4 mm Hg; P=.006) and at 6 to 10 weeks (systolic -25.3 vs -16.4 mm Hg; P=.02, and diastolic -13.4 vs -9.1 mm Hg; P=.05). A healthy diet index score improved significantly more between baseline and the 2-week follow-up in the intervention group (+2.3 vs +1.4 points; P=.05), mostly owing to an increase in the consumption of fish and fruit. At 6 to 10 weeks, 64% (14/22) versus 46% (5/11) of smokers in the intervention versus usual care groups had quit smoking, and at 12 to 14 months, the respective percentages were 55% (12/22) versus 36% (4/11). However, the number of smokers in the study was low (33/149, 21.9%), and the differences were nonsignificant. Attendance in cardiac rehabilitation was high, with 96% (96/100) of patients in the intervention group and 98% (48/49) of patients receiving usual care only attending 12- to 14-month follow-up. Uptake (logging data in the application at least once) was 86.1% (87/101). Adherence (logging data at least twice weekly) was 91% (79/87) in week 1 and 56% (49/87) in week 25. CONCLUSIONS Complementing cardiac rehabilitation with a web-based application improved BP and dietary habits during the first months after myocardial infarction. A nonsignificant tendency toward better exercise capacity and higher smoking cessation rates was observed. Although the study group was small, these positive trends support further development of eHealth in cardiac rehabilitation. TRIAL REGISTRATION ClinicalTrials.gov NCT03260582; https://clinicaltrials.gov/ct2/show/NCT03260582. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.1186/s13063-018-3118-1.
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Randomized Controlled Trial |
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Abstract
OBJECTIVES To provide oncology nurses with an overview of clinical decision support (CDS) and explore opportunities for genomic CDS interventions. The nation's first personalized cancer decision support tool, My Cancer Genome, is presented as an exemplar of a novel CDS tool. DATA SOURCES Published nursing and medical literature and the internet for an exemplar. CONCLUSION CDS is a sophisticated health information technology that can translate and integrate genomic knowledge with patient information, providing recommendations at the point of care. IMPLICATIONS FOR NURSING PRACTICE Nurses, as key stakeholders, must have an understanding of CDS interventions and their application to fully participate in all stages of CDS development and implementation.
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Lautenschläger R, Kohlmayer F, Prasser F, Kuhn KA. A generic solution for web-based management of pseudonymized data. BMC Med Inform Decis Mak 2015; 15:100. [PMID: 26621059 PMCID: PMC4665916 DOI: 10.1186/s12911-015-0222-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2015] [Accepted: 11/25/2015] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Collaborative collection and sharing of data have become a core element of biomedical research. Typical applications are multi-site registries which collect sensitive person-related data prospectively, often together with biospecimens. To secure these sensitive data, national and international data protection laws and regulations demand the separation of identifying data from biomedical data and to introduce pseudonyms. Neither the formulation in laws and regulations nor existing pseudonymization concepts, however, are precise enough to directly provide an implementation guideline. We therefore describe core requirements as well as implementation options for registries and study databases with sensitive biomedical data. METHODS We first analyze existing concepts and compile a set of fundamental requirements for pseudonymized data management. Then we derive a system architecture that fulfills these requirements. Next, we provide a comprehensive overview and a comparison of different technical options for an implementation. Finally, we develop a generic software solution for managing pseudonymized data and show its feasibility by describing how we have used it to realize two research networks. RESULTS We have found that pseudonymization models are highly heterogeneous, already on a conceptual level. We have compiled a set of requirements from different pseudonymization schemes. We propose an architecture and present an overview of technical options. Based on a selection of technical elements, we suggest a generic solution. It supports the multi-site collection and management of biomedical data. Security measures are multi-tier pseudonymity and physical separation of data over independent backend servers. Integrated views are provided by a web-based user interface. Our approach has been successfully used to implement a national and an international rare disease network. CONCLUSIONS We were able to identify a set of core requirements out of several pseudonymization models. Considering various implementation options, we realized a generic solution which was implemented and deployed in research networks. Still, further conceptual work on pseudonymity is needed. Specifically, it remains unclear how exactly data is to be separated into distributed subsets. Moreover, a thorough risk and threat analysis is needed.
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Beniczky S, Asadi-Pooya AA, Perucca E, Rubboli G, Tartara E, Meritam Larsen P, Ebrahimi S, Farzinmehr S, Rampp S, Sperling MR. A web-based algorithm to rapidly classify seizures for the purpose of drug selection. Epilepsia 2021; 62:2474-2484. [PMID: 34420206 DOI: 10.1111/epi.17039] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 07/22/2021] [Accepted: 08/02/2021] [Indexed: 02/06/2023]
Abstract
OBJECTIVE To develop and validate a pragmatic algorithm that classifies seizure types, to facilitate therapeutic decision-making. METHODS Using a modified Delphi method, five experts developed a pragmatic classification of nine types of epileptic seizures or combinations of seizures that influence choice of medication, and constructed a simple algorithm, freely available on the internet. The algorithm consists of seven questions applicable to patients with seizure onset at the age of 10 years or older. Questions to screen for nonepileptic attacks were added. Junior physicians, nurses, and physician assistants applied the algorithm to consecutive patients in a multicenter prospective validation study (ClinicalTrials.gov identifier: NCT03796520). The reference standard was the seizure classification by expert epileptologists, based on all available data, including electroencephalogram (EEG), video-EEG monitoring, and neuroimaging. In addition, physicians working in underserved areas assessed the feasibility of using the web-based algorithm in their clinical setting. RESULTS A total of 262 patients were assessed, of whom 157 had focal, 51 had generalized, and 10 had unknown onset epileptic seizures, and 44 had nonepileptic paroxysmal events. Agreement between the algorithm and the expert classification was 83.2% (95% confidence interval = 78.6%-87.8%), with an agreement coefficient (AC1) of .82 (95% confidence interval = .77-.87), indicating almost perfect agreement. Thirty-two health care professionals from 14 countries evaluated the feasibility of the web-based algorithm in their clinical setting, and found it applicable and useful for their practice (median = 6.5 on 7-point Likert scale). SIGNIFICANCE The web-based algorithm provides an accurate classification of seizure types, which can be used for selecting antiseizure medications in adolescents and adults.
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Validation of a Web-Based, Time-Use Application to Assess Children's School Meal Intakes: My E-Diary for Activities and Lifestyle (MEDAL). Nutrients 2021; 13:nu13113790. [PMID: 34836046 PMCID: PMC8624734 DOI: 10.3390/nu13113790] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 10/07/2021] [Accepted: 10/14/2021] [Indexed: 11/18/2022] Open
Abstract
My E-Diary for Activities and Lifestyle (MEDAL), a web-based application, was developed to assess the diets of children. This study examined the validity of school recess meals reported by children on MEDAL, using meal photography as the reference. Recess meals were photographed by trained researchers, and food items and portion sizes of recess meals reported on MEDAL were compared to recess meal photos. Validity was assessed by percentages of match, omission and intrusion for food items and percentages of the match, underestimation and overestimation for portion sizes. The Mann–Whitney test and the Wilcoxon matched-pairs signed-rank test examined if sex, school and day of recording influenced the validity of food item reporting. We found that participants (n = 33, aged 10–11 years) recalled 60.2% of food items consumed at recess accurately (matches); omissions (24.6%) were more common than intrusions (15.2%). Omissions tended to be side dishes, and intrusions tended to be high-calorie items. Sex, school and day of recording did not influence validity. For food portion sizes, 58.3% of items were accurately reported. Overestimations (33.3%) were more common than underestimations (8.3%). In conclusion, these children were able to report food items consumed during school recess meals using MEDAL, albeit with limitations on the degree of accuracy.
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Validation Study |
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Richardson J, Letts L, Sinclair S, Chan D, Miller J, Donnelly C, Smith-Turchyn J, Wojkowski S, Gravesande J, Loyola Sánchez A. Using a Web-Based App to Deliver Rehabilitation Strategies to Persons With Chronic Conditions: Development and Usability Study. JMIR Rehabil Assist Technol 2021; 8:e19519. [PMID: 33734090 PMCID: PMC8294797 DOI: 10.2196/19519] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 12/18/2020] [Accepted: 02/12/2021] [Indexed: 01/22/2023] Open
Abstract
Background The global rise in the incidence of chronic conditions and aging is associated with increased disability. Physiotherapists and occupational therapists can mitigate the resulting burden on the health care system with their expertise in optimizing function. Rehabilitation self-management strategies can assist people with chronic conditions to accept, adjust, and manage different aspects of their daily functioning. Interventions delivered using technology have the potential to increase the accessibility, availability, and affordability of rehabilitation self-management support and services. Objective This study aims to describe the development and usability evaluation of iamable, a web-based app created to provide rehabilitation self-management support for people with chronic conditions. Methods The development and evaluation of iamable were undertaken in several phases. We used user-centered design principles and an iterative process that included consultations with rehabilitation experts; developed a prototype; and conducted usability tests, heuristic evaluations, and a focus group analysis. Results The iamable app was developed to provide rehabilitation self-management strategies in the areas of exercise, fall prevention, fatigue management, pain management, physical activity, and stress management. We engaged adults aged ≥45 years with at least one chronic condition (N=11) in usability testing. They identified navigation and the understanding of instructions as the primary issues for end users. During the heuristic evaluation, clinicians (N=6) recommended that some areas of app content should be more succinct and that help should be more readily available. The focus group provided input to help guide clinical simulation testing, including strategies for selecting patients and overcoming barriers to implementation. Conclusions We engaged end users and clinicians in the development and evaluation of the iamable app in an effort to create a web-based tool that was useful to therapists and their patients. By addressing usability issues, we were able to ensure that patients had access to rehabilitation strategies that could be used to help them better manage their health. Our app also provides therapists with a platform that they can trust to empower their patients to be more active in the management of chronic conditions. This paper provides a resource that can be used by others to develop and evaluate web-based health apps.
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Colmegna P, Bisio A, McFadden R, Wakeman C, Oliveri MC, Nass R, Breton M. Evaluation of a Web-Based Simulation Tool for Self-Management Support in Type 1 Diabetes: A Pilot Study. IEEE J Biomed Health Inform 2023; 27:515-525. [PMID: 36149995 PMCID: PMC10033464 DOI: 10.1109/jbhi.2022.3209090] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
OBJECTIVE To develop and evaluate a novel Web-based Simulation Tool (WST) that brings simulation technologies to people with Type 1 Diabetes (T1D), enabling unique patient-data interactions seamlessly on a daily basis. METHODS A pilot clinical trial was conducted to assess system usability. The study consisted of one week of observation (Phase 1) and four weeks of interaction with WST (Phase 2). Responses to Technology Acceptance (TA) and Diabetes Distress Scale (DDS) questionnaires were collected, and follow-up interviews were conducted after Phase 2. RESULTS Fifteen participants with T1D using Control-IQ technology (age: 36 ± 13 years, HbA1c: 6.5% ± 0.7%) completed all study procedures. Generated simulation models achieved a median Mean Absolute Relative Difference (MARD) of 6.8% [interquartile range, IQR: 5.1%, 9.1%]. A decrease in expected benefits (likely explained by issues with the third-party data collection system) and an increase in expected burdens were observed. On a 1-5 scale, ease of use, trust, and usefulness scores were 3 [3,4], 4 [3,4], and 4 [3,4], respectively. Time below 70 mg/dL decreased between Phases 1 and 2 (1.6% [0.7%,3.7%] vs 0.8% [0.5%,3.0%]). A reduction in mean emotional burden was also observed (2.5 ± 1.1 vs 2.1 ± 0.8). CONCLUSIONS Results indicate that there was a learning curve to WST, but also that most participants trusted the system and found it useful in their diabetes care. SIGNIFICANCE Simulation technologies like WST could be used by educators and patients to facilitate diabetes self-management, leading to better diabetes literacy and reducing associated distress.
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Clinical Trial |
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Randolph SD, Johnson R, Johnson A, Keusch L. Using PrEP and Doing it for Ourselves (UPDOs Protective Styles), a Web-Based Salon Intervention to Improve Uptake of Pre-exposure Prophylaxis Among Black Women: Protocol for a Pilot Feasibility Study. JMIR Res Protoc 2022; 11:e34556. [PMID: 36040785 PMCID: PMC9472057 DOI: 10.2196/34556] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 06/06/2022] [Accepted: 06/30/2022] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Multilevel interventions are necessary to address the complex social contributors to health that limit pre-exposure prophylaxis use among Black women, including medical distrust, pre-exposure prophylaxis stigma, and access to equitable health care. Strategies to improve knowledge, awareness, and uptake of pre-exposure prophylaxis among Black women will be more successful if information-sharing and implementation take place within trusted environments. Providing women with information through trusted cultural and social channels can effectively support informed decision-making about pre-exposure prophylaxis for themselves and members of their social networks who are eligible for pre-exposure prophylaxis. OBJECTIVE The goal of this project is to improve knowledge, awareness, uptake, and trust of pre-exposure prophylaxis, as well as reduce pre-exposure prophylaxis stigma, among Black women living in the US South. METHODS This multilevel, mixed methods study uses a community-engagement approach to develop and pilot test a salon-based intervention. There are three components of this intervention: (1) stylist training, (2) women-focused entertainment videos and modules, and (3) engagement of a pre-exposure prophylaxis navigator. First, stylist training will be provided through two 2-hour training sessions delivered over 2 consecutive weeks. We will use a pre- and posttest design to examine knowledge and awareness improvement of pre-exposure prophylaxis among the stylists. Upon full completion of training, the stylists will receive a certificate of completion and "Ask Me about PrEP" signage for their beauty salons. Second, together with the community, we have codeveloped a 4-part entertainment series (The Wright Place) that uses culturally and socially relevant stories to highlight key messages about (1) HIV, (2) pre-exposure prophylaxis, and (3) Black women's social contributors to health. Quantitative and qualitative measures will be used in a pre- and posttest design to examine pre-exposure prophylaxis knowledge, awareness, risk, stigma, trust, intentions, and women's perceptions of the usability and acceptability of the overall intervention and its implementation strategies. A video blog will be provided after each video. Third, participants will have access through an email or text message link to a pre-exposure prophylaxis navigator, who will respond to them privately to answer questions or make referrals for pre-exposure prophylaxis as requested. RESULTS This project was funded in October 2020 by Gilead Sciences and was approved by the Duke University School of Nursing institutional review board in April 2021 (Pro00106307). Intervention components were developed in partnership with community partners in the first year. Data collection for phase 1 began in April 2022. Data collection for phase 2 began in May 2022. The study will be complete by October 2022. CONCLUSIONS Multilevel interventions that consider the assets of the community have promise for promoting health among Black women who have influence within their social networks. The findings of this study have the potential to be generalizable to other populations. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) PRR1-10.2196/34556.
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Bonnefois G, Robaey P, Barrière O, Li J, Nekka F. An Evaluation Approach for the Performance of Dosing Regimens in Attention-Deficit/Hyperactivity Disorder Treatment. J Child Adolesc Psychopharmacol 2017; 27:320-331. [PMID: 28165318 PMCID: PMC5460958 DOI: 10.1089/cap.2016.0108] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Stimulant medications, with methylphenidate as the main agent, are the most prescribed for the treatment of attention-deficit/hyperactivity disorder. Nevertheless, real challenges still remain for clinicians concerned with adaptation of the therapeutic regimens, in terms of doses and timing, to children's daily activities. The aim of this study was to optimize short-acting methylphenidate regimens according to specific children's needs by evaluating the performance of a particular regimen through a web-based application. METHODS In this article, accounting for day-to-day children's activities and using up-to-date pharmacokinetic knowledge of methylphenidate, we propose a computational approach for the identification of the most suitable dosing regimens of immediate-release formulations of methylphenidate based on constraints on drug concentration and time frame of activities, defined through therapeutic boxes. To assess the performance of these regimens, time- and concentration-based therapeutic indicators, as well as a roller coaster effect, are proposed. RESULTS A web-based interface that can serve as an educational tool for clinicians and patients has been developed based on the proposed approach for the evaluation of dosing regimens. Comparison of those optimal regimens identified by our method with the well-accepted regimens defined in the NIMH Collaborative Multisite Multimodal Treatment study of Children with attention-deficit/hyperactivity disorder indicates that there is still room for improvement in the current practice especially for the last dose administration to avoid side effects such as sleep disturbance. CONCLUSION The developed approach and its associated web-based interface provide an efficient way to evaluate and adapt the methylphenidate regimens to children's daily activities. In addition, this approach could be used as proof of concept to further implement combination of short- and long-acting methylphenidate.
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Spreizer S, Senk J, Rotter S, Diesmann M, Weyers B. NEST Desktop, an Educational Application for Neuroscience. eNeuro 2021; 8:ENEURO.0274-21.2021. [PMID: 34764188 PMCID: PMC8638679 DOI: 10.1523/eneuro.0274-21.2021] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 08/20/2021] [Accepted: 09/19/2021] [Indexed: 11/21/2022] Open
Abstract
Simulation software for spiking neuronal network models matured in the past decades regarding performance and flexibility. But the entry barrier remains high for students and early career scientists in computational neuroscience since these simulators typically require programming skills and a complex installation. Here, we describe an installation-free Graphical User Interface (GUI) running in the web browser, which is distinct from the simulation engine running anywhere, on the student's laptop or on a supercomputer. This architecture provides robustness against technological changes in the software stack and simplifies deployment for self-education and for teachers. Our new open-source tool, NEST Desktop, comprises graphical elements for creating and configuring network models, running simulations, and visualizing and analyzing the results. NEST Desktop allows students to explore important concepts in computational neuroscience without the need to learn a simulator control language before. Our experiences so far highlight that NEST Desktop helps advancing both quality and intensity of teaching in computational neuroscience in regular university courses. We view the availability of the tool on public resources like the European ICT infrastructure for neuroscience EBRAINS as a contribution to equal opportunities.
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Martin CE, Lanham M, Almgren-Bell A, Marsh C, Omurtag K. A randomized controlled trial to evaluate the use of a web-based application to manage medications during in vitro fertilization. Fertil Steril 2021; 116:793-800. [PMID: 34016436 DOI: 10.1016/j.fertnstert.2021.04.022] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 04/21/2021] [Accepted: 04/23/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVE To evaluate the use of a web-based application that assists in medication management during in vitro fertilization (IVF) treatment. DESIGN Multicenter randomized controlled trial. SETTING University hospitals. PATIENT(S) Women undergoing IVF. INTERVENTION(S) Subjects were recruited to assess quality of life during IVF and were randomly assigned to use either the OnTrack application to assist with medication management or conventional medication management. Surveys were administered at four time points. MAIN OUTCOME MEASURE(S) Medication surplus, incidence of medication errors, amount of patient-initiated communication, and patient satisfaction. RESULT(S) A total of 153 women participated. The average number of portal messages and telephone calls was similar between groups. Twelve patients in the control group (12/69, 17.4%) and 8 patients in the case group (8/72, 11.1%) made medication errors. There were similar amounts of medication surplus in the two groups. The estimated cost of medication waste was $2,578 ± $2,056 in the control group and $2,554 ± $1,855 in the case group. Patient satisfaction was similar between the two groups. CONCLUSION(S) Use of a web-based application did not decrease medication errors, medication surplus, or patient-initiated messages. Many patients had a medication surplus, which can be an area of cost reduction during IVF. CLINICAL TRIAL REGISTRATION NUMBER Clinicaltrials.gov NCT03383848.
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Research Support, N.I.H., Extramural |
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Combs P, Erickson J, Hsieh JH, Guo K, Nolte S, Schmitt C, Auerbach S, Hur J. Corrigendum: Tox21Enricher-Shiny: an R Shiny application for toxicity functional annotation analysis. FRONTIERS IN TOXICOLOGY 2023; 5:1278066. [PMID: 37692902 PMCID: PMC10484597 DOI: 10.3389/ftox.2023.1278066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 08/16/2023] [Indexed: 09/12/2023] Open
Abstract
[This corrects the article DOI: 10.3389/ftox.2023.1147608.].
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Gromelski M, Stoliński F, Jagiello K, Rybińska-Fryca A, Williams A, Halappanavar S, Vogel U, Puzyn T. AOP173 key event associated pathway predictor - online application for the prediction of benchmark dose lower bound (BMDLs) of a transcriptomic pathway involved in MWCNTs-induced lung fibrosis. Nanotoxicology 2022; 16:183-194. [PMID: 35452346 DOI: 10.1080/17435390.2022.2064250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Nano-QSAR model allows for prediction of the toxicity of materials that have not been experimentally tested before by linking the nano-related structural properties with the biological responses induced by nanomaterials. Prediction of adverse effects caused by substances without having to perform time- and cost-consuming experiments makes QSAR models promising tools for supporting risk assessment. However, very often, newly developed nano-QSAR models are not used in practice due to the complexity of their algorithms, the necessity to have experience in chemoinformatics, and their poor accessibility. In this perspective, the aim of this paper is to encourage developers of the QSAR models to take the effort to prepare user-friendly applications based on predictive models. This would make the developed models accessible to a wider community, and, in effect, promote their further application by regulators and decision-makers. Here, we describe a web-based application that enables to predict the transcriptomic pathway-level response perturbated in the lungs of mice exposed to multiwalled carbon nanotubes. The developed application is freely available at http://aop173-event1.nanoqsar-aop.com/apps/aop_app. It requires only two types of input information related to analyzed nanotubes (their length and diameter) to assess the doses that initiate the inflammation process that may lead to lung fibrosis.
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Gu Y, Wang M, Gong Y, Li X, Wang Z, Wang Y, Jiang S, Zhang D, Li C. Unveiling breast cancer risk profiles: a survival clustering analysis empowered by an online web application. Future Oncol 2023; 19:2651-2667. [PMID: 38095059 DOI: 10.2217/fon-2023-0736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023] Open
Abstract
Aim: To develop a shiny app for doctors to investigate breast cancer treatments through a new approach by incorporating unsupervised clustering and survival information. Materials & methods: Analysis is based on the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) dataset, which contains 1726 subjects and 22 variables. Cox regression was used to identify survival risk factors for K-means clustering. Logrank tests and C-statistics were compared across different cluster numbers and Kaplan-Meier plots were presented. Results & conclusion: Our study fills an existing void by introducing a unique combination of unsupervised learning techniques and survival information on the clinician side, demonstrating the potential of survival clustering as a valuable tool in uncovering hidden structures based on distinct risk profiles.
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Mavragani A, Pallikadavath S, Ryder IH, Kandala N. The Effectiveness of a Web-Based Application for a Balanced Diet and Healthy Weight Among Indonesian Pregnant Women: Randomized Controlled Trial. JMIR Form Res 2023; 7:e38378. [PMID: 36716078 PMCID: PMC9926345 DOI: 10.2196/38378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 10/14/2022] [Accepted: 11/17/2022] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Pregnant women have self-declared that they have difficulties in estimating nutrient intakes. The Nutrition Information System for Indonesian Pregnant Women (SISFORNUTRIMIL) application was created as a dietary assessment and calorie-counting tool to guide pregnant women to eat the right portion sizes for each meal. OBJECTIVE The study aimed to examine the effectiveness of the SISFORNUTRIMIL application in helping users achieve a balanced diet and healthy maternal weight gain in comparison to nonusers in Indonesia. METHODS First-pregnancy women in the second trimester aged 19-30 years (N=112) participated in the randomized controlled trial. Recruited women who were eligible and consented to participate in the study were allocated into the intervention group, or application user (n=56), and the control group, or application nonuser (n=56). The intervention recommended that pregnant women consume at least 5 food groups and calculate a recommended average portion size for 12 weeks. Both groups were self-monitored and recorded their intake in food records for 3 days every week. The dietary diversity consumed, macro- and micronutrient intake, and maternal weight gain were assessed pre- and postintervention. Data were collected three times during the intervention. Diversity food consumption was measured by the Minimum Dietary Diversity for Women of reproductive age. Furthermore, the Indonesian recommended dietary allowances were used to refer to and validate appropriate energy and nutrient amounts. Independent sample t test was used to compare differences between the intervention and control groups. RESULTS The mean dietary diversity score for the application user group (7.79, SD 1.20) was significantly greater than for the application nonuser group (7.02, SD 1.39; adjusted mean difference 0.77, 95% CI 0.28-1.25; d=0.28; P=.005). Macro- and micronutrient intake was significantly more in accordance with the dietary recommendations for the user group compared to the control group, including an energy daily intake of 156.88 kcal (95% CI 114.52-199.23; d=-1.39; P=.002), 102.43 g of carbohydrates (95% CI -125.2 to -79.60; d=-1.68; P=.02), 14.33 g of protein (95% CI 11.40-17.25; d=1.86; P<.001), and 10.96 g of fat (95% CI -13.71 to -8.20; d=-1.49; P<.001). Furthermore, there was a significantly higher intake of daily vitamins and minerals in the intervention group than in the control group. Other results showed that maternal weight gain in the intervention group was in accordance with the parameters of healthy weight gain. CONCLUSIONS Recording food intake using the application was significantly effective in improving the dietary diversity consumed, improving adequate energy and nutrient intake, and producing healthy maternal weight during pregnancy. TRIAL REGISTRATION ISRCTN Registry ISRCTN42690828; https://www.isrctn.com/ISRCTN42690828.
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Jain S, Srinivasan R, Helton TJ, Karthikeyan R. TXSELECT: a web-based decision support system for regional assessment of potential E. coli loads using a spatially explicit approach. JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH. PART A, TOXIC/HAZARDOUS SUBSTANCES & ENVIRONMENTAL ENGINEERING 2025; 59:550-561. [PMID: 39750058 DOI: 10.1080/10934529.2024.2445953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2024] [Revised: 12/16/2024] [Accepted: 12/18/2024] [Indexed: 01/04/2025]
Abstract
Bacterial source characterization and allocation are imperative to watershed planning and identifying best management practices. The Spatially Explicit Load Enrichment Calculation Tool (SELECT) has been extensively utilized in watershed protection plans to evaluate the potential bacteria loads and sources in impaired watersheds. However, collecting data, compiling inputs, and spatially mapping sources can be arduous, time-intensive, expensive, and iterative until potential bacteria loads are appropriately allocated to sources based on stakeholder recommendations. We developed a web-based decision support system (DSS), TXSELECT (https://tx.select.tamu.edu), providing a user-friendly interface to run the SELECT model on Texas watersheds. The DSS includes pre-determined watershed-specific inputs that can be readily adjusted within the interface based on user preference and stakeholder recommendations, obviating the necessity for expensive GIS tools and data extraction. To illustrate the applications of TXSELECT, we implemented it in the entire coverage area to identify the potential hotspots and source contributions for Escherichia coli at a regional scale. Median potential E. coli loads were significantly higher in subwatersheds not supporting recreation use. Overall, the large-scale application of SELECT has the potential to aid in prioritizing management measures in watersheds that are less frequently monitored but could have an elevated risk of impairment.
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AlKhanbashi RO, AlNoamy Y, Ghandorah R, Awan RM, AlButi H. Assessment of clinical pharmacist interventions using a web-based application in a Saudi Arabian Tertiary Hospital. SAGE Open Med 2024; 12:20503121241233217. [PMID: 38410373 PMCID: PMC10896045 DOI: 10.1177/20503121241233217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 01/24/2024] [Indexed: 02/28/2024] Open
Abstract
Objectives Medication-related problems are a top concern of clinical pharmacists. Medication-related problems can cause patient harm and increase the number of visits, hospital admissions, and length of hospital stay. The objective was to assess clinical pharmacy medication-related problem-related interventions in a tertiary care setting. Methods A retrospective cohort study was conducted at King Fahad Armed Forces Hospital in Jeddah (Saudi Arabia) between June 2021 and June 2022. The data were extracted monthly from a new web-based Microsoft Excel application documenting medication-related problems during any stage of the medication use process. Results A total of 5310 medication-related problem-related interventions in 1494 patients were performed. The departments associated with the highest frequency of medication-related problem-related interventions were the critical care unit (26.9%), intensive care unit (23.8%), anticoagulation clinic (17.1%), medical ward (11.3%), and nephrology unit (6.8%). The most common type of medication-related problem-related interventions included inappropriate dosage regimens (25.6%), monitoring drug effect or therapeutic drug monitoring (24.4%), requirement of additional drug therapy (21.9%), and inappropriate drug selection (14.1%). The proposed interventions were accepted by physicians in 97% of the incidents. The most frequent medication classes associated with medication-related problem-related interventions were cardiovascular agents (47.6%), antimicrobial agents (27.2%), and nutrition and blood substitute agents (11.4%). The most frequent medication groups associated with medication-related problem-related interventions were anticoagulants (25.6%) and antibiotics (25.2%). Conclusions The current findings characterize the medication-related problem-related interventions addressed in clinical pharmacy at a tertiary care setting. The high rate of physician acceptance emphasizes the integral patient safety role of clinical pharmacy services.
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Jäger T, Schredl P, Neureiter D, Presl J, Tschann P, Königsrainer I, Pascher A, Emmanuel K, Regenbogen S, Ramspott JP. The SAlzburg PEritoneal SUrface CAlculator (SAPESUCA): The First Web-Based Application for Peritoneal Surface Area Quantification. Cancers (Basel) 2023; 15:3134. [PMID: 37370744 DOI: 10.3390/cancers15123134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 05/05/2023] [Accepted: 06/05/2023] [Indexed: 06/29/2023] Open
Abstract
(1) Background: Peritoneal metastasized colorectal cancer is associated with a worse prognosis. The combination of cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC) showed promising results in selected patients, but standardization is lacking so far. We present the first tool enabling standardized peritoneal surface area (PSA) quantification in patients undergoing CRS and HIPEC: The SAlzburg PEritoneal SUrface CAlculator (SAPESUCA). (2) Methods: SAPESUCA was programmed using the R-Shiny framework. The application was validated in 23 consecutive colon cancer patients who received 27 closed oxaliplatin-based HIPECs between 2016 and 2020. The programming algorithm incorporates the patient's body surface area and its correlated peritoneal surface area (PSA) based on the 13 Peritoneal Cancer Index (PCI) regions. (3) Results: Patients' median age was 56 years. Median PCI was 9. SAPESUCA revealed a mean PSA of 18,613 cm2 ± 1951 of all patients before compared to 13,681 cm2 ± 2866 after CRS. The Central PCI region revealed the highest mean peritonectomy extent (1517 cm2 ± 737). The peritonectomy extent correlated significantly with PCI score and postoperative morbidity. The simulated mean oxaliplatin dose differed significantly before and after CRS (558 mg/m2 ± 58.4 vs. 409 mg/m2 ± 86.1; p < 0.0001). (4) Conclusion: SAPESUCA is the first free web-based app for standardized determination of the resected and remaining PSA after CRS. The tool enables chemotherapeutic dose adjustment to the remaining PSA.
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Sravanti L, Mundkur N. DOLPHIN: A Mixed-Methods Study of a Parenting App to Nurture the First Two Years of Life in the Indian Context. Indian J Psychol Med 2024:02537176241253346. [PMID: 39564332 PMCID: PMC11572437 DOI: 10.1177/02537176241253346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2024] Open
Abstract
Background The first two years of life are critical for brain development. Experiences and exposures during this period can have long-term effects on an individual's health. Therefore, we aim to develop a program for new parents in the Indian context to help them understand their developing infant's needs and provide the best possible care grounded in traditional practices to ensure healthy developmental outcomes. Materials and Methods The program was developed using the exploratory-confirmatory framework grounded in qualitative methods-(a) collection of empiric evidence base by conducting a thorough literature review, (b) tacit experience, and (c) focus group discussions with relevant stakeholders. Picture-based content (one picture per day for two years) was created, and the program was expert-validated. A web-based application was developed to make it available to parents, and the program was translated into three regional languages to improve its reach. A telephonic user feedback survey was carried out, and descriptive statistics were used to present the findings from the survey. Results DOLPHIN stands for "Developing Opportunities of Learning for Parents to Help Infant Nurture." Over 600 parents accessed the program. Feedback is positive in the domains of parental satisfaction and user-friendliness. Discussion The program primarily focuses on ensuring appropriate sensorimotor stimulation and meeting the socioemotional needs of the growing infant through the first two years, emphasizing healthy nutrition and hygiene to ensure holistic development. Therefore, its approach is health-promotive and disease-preventive. It incorporates traditional child-rearing practices of India rich in stimulation, promoting secure attachment, and incidental learning: "readiness." Conclusion The DOLPHIN program demonstrates a promising approach to supporting new parents in nurturing their infants during the critical first two years of life. With positive feedback and a focus on traditional practices and evidence-based content, it holds potential as a health-promotive and preventive intervention for holistic child development in the Indian context.
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Kotov A, Idalski Carcone A, Towner E. Neural Conversational Agent for Weight Loss Counseling: Protocol for an Implementation and Feasibility Study. JMIR Res Protoc 2024; 13:e60361. [PMID: 39303273 PMCID: PMC11452760 DOI: 10.2196/60361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Revised: 07/26/2024] [Accepted: 07/27/2024] [Indexed: 09/22/2024] Open
Abstract
BACKGROUND Obesity is a common, serious and costly chronic disease. Current clinical practice guidelines recommend that providers augment the longitudinal care of people living with obesity with consistent support for the development of self-efficacy and motivation to modify their lifestyle behaviors. Lifestyle behavior change aligns with the goals of motivational interviewing (MI), a client-centered yet directive counseling modality. However, training health care providers to be proficient in MI is expensive and time-consuming, resulting in a lack of trained counselors and limiting the widespread adoption of MI in clinical practice. Artificial intelligence (AI) counselors accessible via the internet can help circumvent these barriers. OBJECTIVE The primary objective is to explore the feasibility of conducting unscripted MI-consistent counseling using Neural Agent for Obesity Motivational Interviewing (NAOMI), a large language model (LLM)-based web app for weight loss counseling. The secondary objectives are to test the acceptability and usability of NAOMI's counseling and examine its ability to shift motivational precursors in a sample of patients with overweight and obesity recruited from primary care clinics. METHODS NAOMI will be developed based on recent advances in deep learning in four stages. In stages 1 and 2, NAOMI will be implemented using an open-source foundation LLM and (1) few-shot learning based on a prompt with task-specific instructions and (2) domain adaptation strategy based on fine-tuning LLM using a large corpus of general psychotherapy and MI treatment transcripts. In stages 3 and 4, we will refine the best of these 2 approaches. Each NAOMI version will be evaluated using a mixed methods approach in which 10 adults (18-65 years) meeting the criteria for overweight or obesity (25.0≥BMI≤39.9) interact with NAOMI and provide feedback. NAOMI's fidelity to the MI framework will be assessed using the Motivational Interviewing Treatment Integrity scale. Participants' general perceptions of AI conversational agents and NAOMI specifically will be assessed via Pre- and Post-Interaction Questionnaires. Motivational precursors, such as participants' confidence, importance, and readiness for changing lifestyle behaviors (eg, diet and activity), will be measured before and after the interaction, and 1 week later. A qualitative analysis of changes in the measures of perceptions of AI agents and counselors and motivational precursors will be performed. Participants will rate NAOMI's usability and empathic skills post interaction via questionnaire-based assessments along with providing feedback about their experience with NAOMI via a qualitative interview. RESULTS NAOMI (version 1.0) has been developed. Participant recruitment will commence in September 2024. Data collection activities are expected to conclude in May 2025. CONCLUSIONS If proven effective, LLM-based counseling agents can become a cost-effective approach for addressing the obesity epidemic at a public health level. They can also have a broad, transformative impact on the delivery of MI and other psychotherapeutic treatment modalities extending their reach and broadening access. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) PRR1-10.2196/60361.
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Stoliński F, Rybińska-Fryca A, Gromelski M, Mikolajczyk A, Puzyn T. NanoMixHamster: a web-based tool for predicting cytotoxicity of TiO 2-based multicomponent nanomaterials toward Chinese hamster ovary (CHO-K1) cells. Nanotoxicology 2022; 16:276-289. [PMID: 35713578 DOI: 10.1080/17435390.2022.2080609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Nano-QSAR models can be effectively used for prediction of the biological activity of nanomaterials that have not been experimentally tested before. However, their use is associated with the need to have appropriate knowledge and skills in chemoinformatics. Thus, they are mainly aimed at specialists in the field. This significantly limits the potential group of recipients of the developed solutions. In this perspective, the purpose of the presented research was to develop an easily accessible and user-friendly web-based application that could enable the prediction of TiO2-based multicomponent nanomaterials cytotoxicity toward Chinese Hamster Ovary (CHO-K1) cells. The graphical user interface is clear and intuitive and the only information required from the user is the type and concentration of the metals which will be modifying TiO2-based nanomaterial. Thanks to this, the application will be easy to use not only by cheminformatics but also by specialists in the field of nanotechnology or toxicology, who will be able to quickly predict cytotoxicity of desired nanoclusters. We have performed case studies to demonstrate the features and utilities of developed application. The NanoMixHamster application is freely available at https://nanomixhamster.cloud.nanosolveit.eu/.
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Fitria N, Idrus L, Putri AR, Sari YO. The usability testing of the integrated electronic healthcare services for diabetes mellitus patients during the pandemic in Indonesia. Digit Health 2023; 9:20552076231173227. [PMID: 37152237 PMCID: PMC10161287 DOI: 10.1177/20552076231173227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 04/14/2023] [Indexed: 05/09/2023] Open
Abstract
Introduction Diabetes mellitus is a degenerative disease that obliges patients to take continuous healthcare services. During a pandemic situation, all access to healthcare facilities becomes limited. A web-based integrated electronic-healthcare system (IeHS) study was used to overcome this problem. This study aimed to describe patients' ability to access and understand this web-based application. Method An observational study using a web-based IeHS took place in Muara Tebo, Indonesia, in 2021. A total of 82 outpatients with diabetes mellitus participated in this study. These patients belonged to local community-based diabetes mellitus. Only adult patients accustomed to using smartphones were invited to participate in this study. All participants were taught to access the web-based application through video recordings. They were asked to fill out the form regarding their understanding of the web-based integrated e-healthcare application. This form was sent online. Results From the calculation of the usability scale, the results show that patients have not been able to take advantage of this application in life (the system usability scale (SUS) score 63.38). There is no significant difference between patients' characteristics and the SUS score. Conclusion Participants' condition in this study reflects the general state of outpatients. The ability of these participants to access an internet-based application was related to their education level. This condition becomes a challenge for policymakers to improve local human resources to increase their health literacy.
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Alibés A, Morrissey ER, Cañada A, Rueda OM, Casado D, Yankilevich P, Díaz-Uriarte R. Asterias: a parallelized web-based suite for the analysis of expression and aCGH data. Cancer Inform 2007; 3:1-9. [PMID: 19455230 PMCID: PMC2675829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The analysis of expression and CGH arrays plays a central role in the study of complex diseases, especially cancer, including finding markers for early diagnosis and prognosis, choosing an optimal therapy, or increasing our understanding of cancer development and metastasis. Asterias (http://www.asterias.info) is an integrated collection of freely-accessible web tools for the analysis of gene expression and aCGH data. Most of the tools use parallel computing (via MPI) and run on a server with 60 CPUs for computation; compared to a desktop or server-based but not parallelized application, parallelization provides speed ups of factors up to 50. Most of our applications allow the user to obtain additional information for user-selected genes (chromosomal location, PubMed ids, Gene Ontology terms, etc.) by using clickable links in tables and/or figures. Our tools include: normalization of expression and aCGH data (DNMAD); converting between different types of gene/clone and protein identifiers (IDconverter/IDClight); filtering and imputation (preP); finding differentially expressed genes related to patient class and survival data (Pomelo II); searching for models of class prediction (Tnasas); using random forests to search for minimal models for class prediction or for large subsets of genes with predictive capacity (GeneSrF); searching for molecular signatures and predictive genes with survival data (SignS); detecting regions of genomic DNA gain or loss (ADaCGH). The capability to send results between different applications, access to additional functional information, and parallelized computation make our suite unique and exploit features only available to web-based applications.
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Combs P, Erickson J, Hsieh JH, Guo K, Nolte S, Schmitt C, Auerbach S, Hur J. Tox21Enricher-Shiny: an R Shiny application for toxicity functional annotation analysis. FRONTIERS IN TOXICOLOGY 2023; 5:1147608. [PMID: 37441091 PMCID: PMC10333489 DOI: 10.3389/ftox.2023.1147608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 06/09/2023] [Indexed: 07/15/2023] Open
Abstract
Inference of toxicological and mechanistic properties of untested chemicals through structural or biological similarity is a commonly employed approach for initial chemical characterization and hypothesis generation. We previously developed a web-based application, Tox21Enricher-Grails, on the Grails framework that identifies enriched biological/toxicological properties of chemical sets for the purpose of inferring properties of untested chemicals within the set. It was able to detect significantly overrepresented biological (e.g., receptor binding), toxicological (e.g., carcinogenicity), and chemical (e.g., toxicologically relevant chemical substructures) annotations within sets of chemicals screened in the Tox21 platform. Here, we present an R Shiny application version of Tox21Enricher-Grails, Tox21Enricher-Shiny, with more robust features and updated annotations. Tox21Enricher-Shiny allows users to interact with the web application component (available at http://hurlab.med.und.edu/Tox21Enricher/) through a user-friendly graphical user interface or to directly access the application's functions through an application programming interface. This version now supports InChI strings as input in addition to CASRN and SMILES identifiers. Input chemicals that contain certain reactive functional groups (nitrile, aldehyde, epoxide, and isocyanate groups) may react with proteins in cell-based Tox21 assays: this could cause Tox21Enricher-Shiny to produce spurious enrichment analysis results. Therefore, this version of the application can now automatically detect and ignore such problematic chemicals in a user's input. The application also offers new data visualizations, and the architecture has been greatly simplified to allow for simple deployment, version control, and porting. The application may be deployed onto a Posit Connect or Shiny server, and it uses Postgres for database management. As other Tox21-related tools are being migrated to the R Shiny platform, the development of Tox21Enricher-Shiny is a logical transition to use R's strong data analysis and visualization capacities and to provide aesthetic and developmental consistency with other Tox21 applications developed by the Division of Translational Toxicology (DTT) at the National Institute of Environmental Health Sciences (NIEHS).
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Striftou A, Zygouris NC, Vlachos F, Patrikelis P, Messinis L. The effectiveness of a reading and cognitive task-based Web delivered intervention program for children with reading difficulties. APPLIED NEUROPSYCHOLOGY. CHILD 2024:1-12. [PMID: 38340140 DOI: 10.1080/21622965.2024.2313637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/12/2024]
Abstract
The present study aimed to investigate the improvement of reading ability and cognitive performance of children with reading difficulties through a Web application named "Poke the Reading Ability" (PtRA). PtRA is designed to assist the intervention of reading difficulties in Greek, a language that is more transparent than English. Sixty (60) children between nine (9) to twelve (12) years old (mean age 10.18 years). The baseline assessment consisted of two batteries of reading and cognitive abilities tests. Test-A, a Greek standardized psychometric tool and Askisi, a newly developed neuropsychological battery of tests are adopted to assess reading and cognitive performance. Both tools, were used in order to screen children's reading and cognitive performance before and after implementing the PtRA. The PtRA Web intervention consists of (a) tasks that focus on improving visual and auditory working memory, (b) tasks that improve phonological awareness and decoding, (c) tasks that are adopted to strengthen visual discrimination ability and (d) tasks that improve reading comprehension ability. Following the Web delivered intervention program the results revealed that the reading and cognitive abilities of children with reading difficulties were statistically significant improved in all 9 reading and all 3 cognitive abilities tasks.
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