Targeted drug delivery in pulmonary therapy based on adhesion and transmission of nanocarriers designed with a metal-organic framework

With the recent increase in lung diseases, especially with the onset of the coronavirus pandemic, the design of a highly efficient and optimal targeted drug delivery system for the lungs is crucial in inhaler-based delivery systems. This study aimed to design a magnetic field-assisted targeted drug delivery system to the lungs using three types of metal-organic frameworks (MOFs) and nanoliposomes. The optimization of the system was based on three main parameters: the surface density of the nanocarriers' (NCs) adherence to each of the lung branches, the amount of drug transferred to each branch, and the toxicity based on the rate of nanocarrier delivery to the branches. The study investigated the effect of increasing the diameter of the drug carriers and the amount of drug loaded onto the NCs in improving drug delivery to targeted areas of the lung. Results showed that the presence of a magnetic field significantly increased the adhesion of NCs to the targeted branches. The application of a magnetic field and the type of drug carrier had a significant effect on drug delivery downstream of the lung and reduced drug toxicity. The study found that Fe3O4@UiO-66 (iron-oxide nanoparticle attached to the surface of UiO-66, a type of MOF) and Fe3O4@PAA/AuNCs/ZIF-8 carriers, (iron-oxide nanoparticle attached to a hybrid structure composed of three different materials: poly (acrylic acid) (PAA), gold nanoclusters (AuNCs), and zeolitic imidazolate framework-8 (ZIF-8)), had the greatest drug delivery rate in diameters above 200 nm and less than 200 nm, respectively.

A rapid review for developing a co-design framework for a pediatric surgical communication application

BACKGROUND

The exponential growth in the use of mobile health (mHealth) applications in patient care has highlighted the importance of understanding end-users' needs for successful interventions, achievable through the process of co-design. This review aims to summarize previously published uses of co-design in mHealth applications. It will inform the development of a local mHealth tool in pediatric surgery.

METHODS

The rapid review was conducted following Cochrane Rapid Review guidelines. We searched four databases from inception until August 2021 for collaborative design in mHealth apps. Two reviewers independently screened titles and abstracts using Rayyan, with a third reviewer resolving any conflicts. Studies were excluded if they were non-empirical or in other languages than English.

RESULTS

Out of 984 records screened, 175 were included for full-text screening, and 27 met all eligibility criteria. The purpose of the studies related to care support, communication, self-management or information management. All interventions involved their target audience in the co-design process, and 85% included healthcare professionals for expert opinion. Stakeholder participation was solicited via interviews, surveys, focus groups, design sessions, and prototype evaluation. To initiate the process, 15 studies included needs identification, 8 did background research, and 7 performed literature reviews.

CONCLUSION

Co-design has a positive impact on mHealth development, research processes and outcomes. Its success relies on a clearly identified framework of terminology, activities involved, and evaluation techniques. The findings of this review will be integrated into a novel co-design framework, which will be used to inform the development of a pediatric surgery mHealth application.

LEVEL OF EVIDENCE

This review uses manuscripts that are rated level III-V.

Exploring the roles of artificial intelligence in surgical education: A scoping review

BACKGROUND

Technology-enhanced teaching and learning, including Artificial Intelligence (AI) applications, has started to evolve in surgical education. Hence, the purpose of this scoping review is to explore the current and future roles of AI in surgical education.

METHODS

Nine bibliographic databases were searched from January 2010 to January 2021. Full-text articles were included if they focused on AI in surgical education.

RESULTS

Out of 14,008 unique sources of evidence, 93 were included. Out of 93, 84 were conducted in the simulation setting, and 89 targeted technical skills. Fifty-six studies focused on skills assessment/classification, and 36 used multiple AI techniques. Also, increasing sample size, having balanced data, and using AI to provide feedback were major future directions mentioned by authors.

CONCLUSIONS

AI can help optimize the education of trainees and our results can help educators and researchers identify areas that need further investigation.

Experimental and theoretical study of rhenium radioisotopes production for manufacturing of new compositional radiopharmaceuticals

Rhenium therapeutic radioisotopes, namely rhenium-186 and 188, are radionuclides that have been used in combination with various ligands to provide different radiopharmaceuticals for the treatment of different diseases for many years. Each of these radioisotopes has its own special attributes, which make it appropriate to destroy special-sized tumors. High energy, long range beta particles in ¹⁸⁸Re can give this certainty that large tumors can be eradicated with high efficiency. On the other hand, ¹⁸⁶Re with low energy, short range beta particles is adequate item to ruin small tumors with minimum side effects and high yield. Thus, each of these radioisotopes has features that can cover just part of the treatment individually. So we thought accompanying ¹⁸⁶Re and ¹⁸⁸Re must have the best outcome to treat tumors with various sizes. Irradiating natural rhenium with neutrons has this potential to produce parallel ¹⁸⁶Re and ¹⁸⁸R together. We are looking for investigating whether the natural rhenium irradiation, in addition the concurrent production of these radioisotopes, gives us the appropriate radioactivity values to produce compositional radiopharmaceuticals? In this research, the experimental and theoretical assessments of ¹⁸⁶Re and ¹⁸⁸R simultaneous production to reach compositional radiopharmaceutical by natural rhenium irradiation in the Tehran research reactor, as well as the type and amount of produced impurities have been investigated. The results showed that experimental data are in good agreement with theoretical calculations. The maximum relative error in data has been calculated 8%. The results showed that, in the simultaneous production ¹⁸⁶Re and ¹⁸⁸R via the natural rhenium irradiation method, the amounts of impurities are trivial compared to the main products, and the activities of main products are properly enough to produce compositional radiopharmaceuticals.