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Frankenbach T, Mayer-Wagner S, Böcker W, Hutmacher DW, Holzapfel BM, Laubach M. [Surgeons vs. scientists-Mind the gap! : Survey study on biomaterials for bone defects]. ORTHOPADIE (HEIDELBERG, GERMANY) 2024; 53:361-368. [PMID: 38578459 PMCID: PMC11052785 DOI: 10.1007/s00132-024-04492-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/08/2024] [Indexed: 04/06/2024]
Affiliation(s)
- Tina Frankenbach
- Klinik für Orthopädie und Unfallchirurgie, Muskuloskelettales Universitätszentrum München (MUM), LMU Klinikum, LMU München, München, Deutschland.
| | - Susanne Mayer-Wagner
- Klinik für Orthopädie und Unfallchirurgie, Muskuloskelettales Universitätszentrum München (MUM), LMU Klinikum, LMU München, München, Deutschland
| | - Wolfgang Böcker
- Klinik für Orthopädie und Unfallchirurgie, Muskuloskelettales Universitätszentrum München (MUM), LMU Klinikum, LMU München, München, Deutschland
| | - Dietmar W Hutmacher
- Max Planck Queensland Centre (MPQC) for the Materials Science of Extracellular Matrices, Queensland University of Technology, 4000, Brisbane, QLD, Australien
- Australian Research Council (ARC) Training Centre for Multiscale 3D Imaging, Modelling, and Manufacturing (M3D Innovation), Queensland University of Technology, 4000, Brisbane, QLD, Australien
| | - Boris M Holzapfel
- Klinik für Orthopädie und Unfallchirurgie, Muskuloskelettales Universitätszentrum München (MUM), LMU Klinikum, LMU München, München, Deutschland
| | - Markus Laubach
- Klinik für Orthopädie und Unfallchirurgie, Muskuloskelettales Universitätszentrum München (MUM), LMU Klinikum, LMU München, München, Deutschland.
- Australian Research Council (ARC) Training Centre for Multiscale 3D Imaging, Modelling, and Manufacturing (M3D Innovation), Queensland University of Technology, 4000, Brisbane, QLD, Australien.
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Hawk LW, Murphy TF, Hartmann KE, Burnett A, Maguin E. A randomized controlled trial of a team science intervention to enhance collaboration readiness and behavior among early career scholars in the Clinical and Translational Science Award network. J Clin Transl Sci 2023; 8:e6. [PMID: 38384923 PMCID: PMC10877513 DOI: 10.1017/cts.2023.692] [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: 08/21/2023] [Revised: 11/27/2023] [Accepted: 12/01/2023] [Indexed: 02/23/2024] Open
Abstract
Introduction Despite the central importance of cross-disciplinary collaboration in the Clinical and Translational Science Award (CTSA) network and the implementation of various programs designed to enhance collaboration, rigorous evidence for the efficacy of these approaches is lacking. We conducted a novel randomized controlled trial (RCT; ClinicalTrials.gov identifier: NCT05395286) of a promising approach to enhance collaboration readiness and behavior among 95 early career scholars from throughout the CTSA network. Methods Participants were randomly assigned (within two cohorts) to participate in an Innovation Lab, a week-long immersive collaboration experience, or to a treatment-as-usual control group. Primary outcomes were change in metrics of self-reported collaboration readiness (through 12-month follow-up) and objective collaboration network size from bibliometrics (through 21 months); secondary outcomes included self-reported number of grants submitted and, among Innovation Lab participants only, reactions to the Lab experience (through 12 months). Results Short-term reactions from Innovation Lab participants were quite positive, and controlled evidence for a beneficial impact of Innovation Labs over the control condition was observed in the self-reported number of grant proposals in the intent-to-treat sample. Primary measures of collaboration readiness were near ceiling in both groups, limiting the ability to detect enhancement. Collaboration network size increased over time to a comparable degree in both groups. Conclusions The findings highlight the need for systematic intervention development research to identify efficacious strategies that can be implemented throughout the CTSA network to better support the goal of enhanced cross-disciplinary collaboration.
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Affiliation(s)
- Larry W. Hawk
- Department of Psychology, University at
Buffalo, Buffalo, NY, USA
| | - Timothy F. Murphy
- Jacobs School of Medicine & Biomedical Sciences,
University at Buffalo, Buffalo, NY,
USA
- Clinical and Translational Science Institute, University at
Buffalo, Buffalo, NY, USA
| | - Katherine E. Hartmann
- Department of Obstetrics and Gynecology, Vanderbilt
University, Nashville, TN,
USA
- Department of Medicine, Vanderbilt University,
Nashville, TN, USA
- Vanderbilt Institute for Clinical and Translational Research,
Vanderbilt University, Nashville,
TN, USA
| | | | - Eugene Maguin
- Department of Psychology, University at
Buffalo, Buffalo, NY, USA
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Brown SA, Sparapani R, Osinski K, Zhang J, Blessing J, Cheng F, Hamid A, MohamadiPour MB, Lal JC, Kothari AN, Caraballo P, Noseworthy P, Johnson RH, Hansen K, Sun LY, Crotty B, Cheng YC, Echefu G, Doshi K, Olson J. Team principles for successful interdisciplinary research teams. AMERICAN HEART JOURNAL PLUS : CARDIOLOGY RESEARCH AND PRACTICE 2023; 32:100306. [PMID: 38510201 PMCID: PMC10946054 DOI: 10.1016/j.ahjo.2023.100306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 05/26/2023] [Accepted: 05/28/2023] [Indexed: 03/22/2024]
Abstract
Interdisciplinary research teams can be extremely beneficial when addressing difficult clinical problems. The incorporation of conceptual and methodological strategies from a variety of research disciplines and health professions yields transformative results. In this setting, the long-term goal of team science is to improve patient care, with emphasis on population health outcomes. However, team principles necessary for effective research teams are rarely taught in health professional schools. To form successful interdisciplinary research teams in cardio-oncology and beyond, guiding principles and organizational recommendations are necessary. Cardiovascular disease results in annual direct costs of $220 billion (about $680 per person in the US) and is the leading cause of death for cancer survivors, including adult survivors of childhood cancers. Optimizing cardio-oncology research in interdisciplinary research teams has the potential to aid in the investigation of strategies for saving hundreds of thousands of lives each year in the United States and mitigating the annual cost of cardiovascular disease. Despite published reports on experiences developing research teams across organizations, specialties and settings, there is no single journal article that compiles principles for cardiology or cardio-oncology research teams. In this review, recurring threads linked to working as a team, as well as optimal methods, advantages, and problems that arise when managing teams are described in the context of career development and research. The worth and hurdles of a team approach, based on practical lessons learned from establishing our multidisciplinary research team and information gleaned from relevant specialties in the development of a successful team are presented.
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Affiliation(s)
- Sherry-Ann Brown
- Cardio-Oncology Program, Division of Cardiovascular Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Rodney Sparapani
- Institute for Health and Equity, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Kristen Osinski
- Clinical Science and Translational Institute, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Jun Zhang
- Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Jeffrey Blessing
- Department of Computer Science, Milwaukee School of Engineering, USA
| | - Feixiong Cheng
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | | | - Mehri Bagheri MohamadiPour
- Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Jessica Castrillon Lal
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Anai N. Kothari
- Division of Surgical Oncology, Medical College of Wisconsin, Milwaukee, WI, USA
| | | | - Peter Noseworthy
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | | | | | - Louise Y. Sun
- Division of Cardiac Anesthesiology, University of Ottawa Heart Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
| | - Bradley Crotty
- Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Yee Chung Cheng
- Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Gift Echefu
- Department of Internal Medicine, Baton Rouge General Medical Center, Baton Rouge, LA, USA
| | - Krishna Doshi
- Department of Internal Medicine, Advocate Lutheran General Hospital, Park Ridge, IL, USA
| | - Jessica Olson
- Institute for Health and Equity, Medical College of Wisconsin, Milwaukee, WI, USA
| | - for the Cardio-Oncology Artificial Intelligence Informatics & Precision (CAIP) Research Team Investigators
- Cardio-Oncology Program, Division of Cardiovascular Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
- Institute for Health and Equity, Medical College of Wisconsin, Milwaukee, WI, USA
- Clinical Science and Translational Institute, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
- Department of Computer Science, Milwaukee School of Engineering, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH, USA
- Medical College of Wisconsin, Milwaukee, WI, USA
- Division of Surgical Oncology, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Medicine, Mayo Clinic, Rochester, MN, USA
- Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
- Green Bay, WI, USA
- Division of Cardiac Anesthesiology, University of Ottawa Heart Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
- Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Internal Medicine, Baton Rouge General Medical Center, Baton Rouge, LA, USA
- Department of Internal Medicine, Advocate Lutheran General Hospital, Park Ridge, IL, USA
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Laubach M, Hildebrand F, Suresh S, Wagels M, Kobbe P, Gilbert F, Kneser U, Holzapfel BM, Hutmacher DW. The Concept of Scaffold-Guided Bone Regeneration for the Treatment of Long Bone Defects: Current Clinical Application and Future Perspective. J Funct Biomater 2023; 14:341. [PMID: 37504836 PMCID: PMC10381286 DOI: 10.3390/jfb14070341] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 05/31/2023] [Accepted: 06/21/2023] [Indexed: 07/29/2023] Open
Abstract
The treatment of bone defects remains a challenging clinical problem with high reintervention rates, morbidity, and resulting significant healthcare costs. Surgical techniques are constantly evolving, but outcomes can be influenced by several parameters, including the patient's age, comorbidities, systemic disorders, the anatomical location of the defect, and the surgeon's preference and experience. The most used therapeutic modalities for the regeneration of long bone defects include distraction osteogenesis (bone transport), free vascularized fibular grafts, the Masquelet technique, allograft, and (arthroplasty with) mega-prostheses. Over the past 25 years, three-dimensional (3D) printing, a breakthrough layer-by-layer manufacturing technology that produces final parts directly from 3D model data, has taken off and transformed the treatment of bone defects by enabling personalized therapies with highly porous 3D-printed implants tailored to the patient. Therefore, to reduce the morbidities and complications associated with current treatment regimens, efforts have been made in translational research toward 3D-printed scaffolds to facilitate bone regeneration. Three-dimensional printed scaffolds should not only provide osteoconductive surfaces for cell attachment and subsequent bone formation but also provide physical support and containment of bone graft material during the regeneration process, enhancing bone ingrowth, while simultaneously, orthopaedic implants supply mechanical strength with rigid, stable external and/or internal fixation. In this perspective review, we focus on elaborating on the history of bone defect treatment methods and assessing current treatment approaches as well as recent developments, including existing evidence on the advantages and disadvantages of 3D-printed scaffolds for bone defect regeneration. Furthermore, it is evident that the regulatory framework and organization and financing of evidence-based clinical trials remains very complex, and new challenges for non-biodegradable and biodegradable 3D-printed scaffolds for bone regeneration are emerging that have not yet been sufficiently addressed, such as guideline development for specific surgical indications, clinically feasible design concepts for needed multicentre international preclinical and clinical trials, the current medico-legal status, and reimbursement. These challenges underscore the need for intensive exchange and open and honest debate among leaders in the field. This goal can be addressed in a well-planned and focused stakeholder workshop on the topic of patient-specific 3D-printed scaffolds for long bone defect regeneration, as proposed in this perspective review.
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Affiliation(s)
- Markus Laubach
- Australian Research Council (ARC) Training Centre for Multiscale 3D Imaging, Modelling and Manufacturing (M3D Innovation), Queensland University of Technology, Brisbane, QLD 4000, Australia
- Centre for Biomedical Technologies, School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4059, Australia
- Department of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), LMU University Hospital, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany
| | - Frank Hildebrand
- Department of Orthopaedics, Trauma and Reconstructive Surgery, RWTH Aachen University Hospital, Pauwelsstraße 30, 52074 Aachen, Germany
| | - Sinduja Suresh
- Australian Research Council (ARC) Training Centre for Multiscale 3D Imaging, Modelling and Manufacturing (M3D Innovation), Queensland University of Technology, Brisbane, QLD 4000, Australia
- Centre for Biomedical Technologies, School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4059, Australia
| | - Michael Wagels
- Department of Plastic Surgery, Princess Alexandra Hospital, Woolloongabba, QLD 4102, Australia;
- The Herston Biofabrication Institute, The University of Queensland, Herston, QLD 4006, Australia
- Southside Clinical Division, School of Medicine, University of Queensland, Woolloongabba, QLD 4102, Australia
- Department of Plastic and Reconstructive Surgery, Queensland Children’s Hospital, South Brisbane, QLD 4101, Australia
- The Australian Centre for Complex Integrated Surgical Solutions, Woolloongabba, QLD 4102, Australia
| | - Philipp Kobbe
- Department of Orthopaedics, Trauma and Reconstructive Surgery, RWTH Aachen University Hospital, Pauwelsstraße 30, 52074 Aachen, Germany
| | - Fabian Gilbert
- Department of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), LMU University Hospital, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany
| | - Ulrich Kneser
- Department of Hand, Plastic and Reconstructive Surgery, Microsurgery, Burn Center, BG Trauma Center Ludwigshafen, University of Heidelberg, 67071 Ludwigshafen, Germany
| | - Boris M. Holzapfel
- Department of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), LMU University Hospital, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany
| | - Dietmar W. Hutmacher
- Australian Research Council (ARC) Training Centre for Multiscale 3D Imaging, Modelling and Manufacturing (M3D Innovation), Queensland University of Technology, Brisbane, QLD 4000, Australia
- Centre for Biomedical Technologies, School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4059, Australia
- Max Planck Queensland Centre (MPQC) for the Materials Science of Extracellular Matrices, Queensland University of Technology, Brisbane, QLD 4000, Australia
- ARC Training Centre for Cell and Tissue Engineering Technologies (CTET), Queensland University of Technology (QUT), Brisbane, QLD 4000, Australia
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Faupel‐Badger JM, Vogel AL, Austin CP, Rutter JL. Advancing translational science education. Clin Transl Sci 2022; 15:2555-2566. [PMID: 36045637 PMCID: PMC9652430 DOI: 10.1111/cts.13390] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 07/11/2022] [Accepted: 07/29/2022] [Indexed: 01/25/2023] Open
Abstract
In this communication, the authors offer considerations for how the scientific community can capitalize on decades of translational science advances and experiential knowledge to develop new education opportunities for a diverse and highly skilled translational science workforce. Continued advancement of the field of translational science will require new education approaches that distill key concepts in translational science from past and ongoing research initiatives and teach this foundational knowledge to current and future translational scientists. These key concepts include generalizable scientific and operational principles to guide translational science, as well as evidence-informed practices. Inspired by this approach, the National Center for Advancing Translational Sciences (NCATS) has developed an initial set of guiding principles for translational science generated via case studies of multiple highly successful translational science initiatives, and is now teaching them via new education activities that aim to reach a broad scientific audience interested in translational science. Our goal with this review is to prompt continued conversation with the translational science community regarding capitalizing on our collective translational science knowledge to advance core content for translational science education and disseminating this content to a broad range of scientific audiences.
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Affiliation(s)
- Jessica M. Faupel‐Badger
- National Institutes of HealthNational Center for Advancing Translational SciencesBethesdaMarylandUSA
| | - Amanda L. Vogel
- National Institutes of HealthNational Center for Advancing Translational SciencesBethesdaMarylandUSA
| | | | - Joni L. Rutter
- National Institutes of HealthNational Center for Advancing Translational SciencesBethesdaMarylandUSA
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Evaluation of an Online Case Study-Based Course in Translational Science for a Broad Scientific Audience: Impacts on Students’ Knowledge, Attitudes, Planned Scientific Activities, and Career Goals. J Clin Transl Sci 2022; 6:e82. [PMID: 35949657 PMCID: PMC9305082 DOI: 10.1017/cts.2022.415] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 04/28/2022] [Accepted: 06/01/2022] [Indexed: 11/08/2022] Open
Abstract
Purpose: There is a need for education activities in translational science (TS) that focus on teaching key principles, concepts, and approaches to effectively overcome common scientific and operational bottlenecks in the translational process. Delivering this content to the broad range of individuals interested in advancing translation will help to both expand and develop the TS workforce. Rigorous evaluations will build the evidence base for effective educational approaches for varied audiences. Methods: In 2020, the National Center for Advancing Translational Sciences offered an online case study-based course in TS for students across education and career stages. The course evaluation used baseline and endpoint student surveys to assess satisfaction with the course and impacts of participation on knowledge and attitudes relevant to TS and professional goals. Results: Of 112 students, 100 completed baseline and/or endpoint surveys, with 66 completing both. Most found the online format (n = 59, 83%) and case study approach (n = 62, 87%) moderately or very effective. There were statistically significant increases in TS knowledge (P < .001) and positive attitudes about team science in translational research (TR) (P < .001). Students reported the course increased their skills and knowledge in cross-disciplinary team science, the process of preclinical and clinical TR, and how their work fits into the translational spectrum, and increased their interest in scientific approaches used in the case study and careers in TS, TR, or team science. Conclusions: This online case study-based course effectively conveyed TS concepts to students from a range of backgrounds and enhanced their professional interests related to course content.
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Brown SA, Sparapani R, Osinski K, Zhang J, Blessing J, Cheng F, Hamid A, Berman G, Lee K, BagheriMohamadiPour M, Castrillon Lal J, Kothari AN, Caraballo P, Noseworthy P, Johnson RH, Hansen K, Sun LY, Crotty B, Cheng YC, Olson J. Establishing an interdisciplinary research team for cardio-oncology artificial intelligence informatics precision and health equity. AMERICAN HEART JOURNAL PLUS : CARDIOLOGY RESEARCH AND PRACTICE 2022; 13:100094. [PMID: 35434676 PMCID: PMC9012235 DOI: 10.1016/j.ahjo.2022.100094] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 01/01/2022] [Indexed: 11/23/2022]
Abstract
Study objective A multi-institutional interdisciplinary team was created to develop a research group focused on leveraging artificial intelligence and informatics for cardio-oncology patients. Cardio-oncology is an emerging medical field dedicated to prevention, screening, and management of adverse cardiovascular effects of cancer/ cancer therapies. Cardiovascular disease is a leading cause of death in cancer survivors. Cardiovascular risk in these patients is higher than in the general population. However, prediction and prevention of adverse cardiovascular events in individuals with a history of cancer/cancer treatment is challenging. Thus, establishing an interdisciplinary team to create cardiovascular risk stratification clinical decision aids for integration into electronic health records for oncology patients was considered crucial. Design/setting/participants Core team members from the Medical College of Wisconsin (MCW), University of Wisconsin-Milwaukee (UWM), and Milwaukee School of Engineering (MSOE), and additional members from Cleveland Clinic, Mayo Clinic, and other institutions have joined forces to apply high-performance computing in cardio-oncology. Results The team is comprised of clinicians and researchers from relevant complementary and synergistic fields relevant to this work. The team has built an epidemiological cohort of ~5000 cancer survivors that will serve as a database for interdisciplinary multi-institutional artificial intelligence projects. Conclusion Lessons learned from establishing this team, as well as initial findings from the epidemiology cohort, are presented. Barriers have been broken down to form a multi-institutional interdisciplinary team for health informatics research in cardio-oncology. A database of cancer survivors has been created collaboratively by the team and provides initial insight into cardiovascular outcomes and comorbidities in this population.
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Affiliation(s)
- Sherry-Ann Brown
- Cardio-Oncology Program, Division of Cardiovascular Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Rodney Sparapani
- Institute for Health and Equity, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Kristen Osinski
- Clinical Science and Translational Institute, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Jun Zhang
- Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Jeffrey Blessing
- Department of Computer Science, Milwaukee School of Engineering, USA
| | - Feixiong Cheng
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | | | | | - Kyla Lee
- Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Mehri BagheriMohamadiPour
- Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Jessica Castrillon Lal
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Anai N. Kothari
- Division of Surgical Oncology, Medical College of Wisconsin, Milwaukee, WI, USA
| | | | - Peter Noseworthy
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | | | | | - Louise Y. Sun
- Division of Cardiac Anesthesiology, University of Ottawa Heart Institute and School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
| | - Bradley Crotty
- Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Yee Chung Cheng
- Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Jessica Olson
- Institute for Health and Equity, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Cardio-Oncology Artificial Intelligence Informatics & Precision (CAIP) Research Team Investigators
- Cardio-Oncology Program, Division of Cardiovascular Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
- Institute for Health and Equity, Medical College of Wisconsin, Milwaukee, WI, USA
- Clinical Science and Translational Institute, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
- Department of Computer Science, Milwaukee School of Engineering, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH, USA
- Medical College of Wisconsin, Milwaukee, WI, USA
- Medical College of Wisconsin, Green Bay, WI, USA
- Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA
- Division of Surgical Oncology, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Medicine, Mayo Clinic, Rochester, MN, USA
- Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
- Green Bay, WI, USA
- Division of Cardiac Anesthesiology, University of Ottawa Heart Institute and School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
- Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
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