Background: The current US physician workforce does not reflect the diversity of the patient population it serves. While programs have been designed to support learners underrepresented in medicine, evidence of their efficacy is lacking.
Methods: We designed, implemented, and assessed a medical school admissions preparatory program (MAPP) for premedical students from underrepresented backgrounds, as defined by race, gender identity, and/or socioeconomic status. The program includes workshops, near-peer mentorship, and professional standardized test-preparation materials. We assessed the students' development using a mixed-methods, post-test approach that included surveys and one-on-one interviews. Questions were based on social cognitive career theory. We used independent thematic analysis to extract key themes across interviews.
Results: We surveyed and interviewed 13 of 17 MAPP participants in 2021. The cohort had a mean age of 23.7+/-4; 77% were women; and 23% self-identified as Asian, 15% as Pacific Islander, 15% as Black, 31% as Hispanic, and 23% as American Indian. We found they had little experience with the medical school application process and developed new insights about themselves from participating in MAPP. The primary drivers of growth were (1) guidance in the medical school admission process, (2) near-peer mentorship and interactions, and (3) sense of community with other program participants.
Conclusion: MAPP provided materials and methods that clarified the process and bolstered students' confidence in their ability to complete the application.
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Elife
March 2025
Department of Pathology, Third Hospital, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
Background: Cervical adenocarcinoma (ADC) is more aggressive compared to other types of cervical cancer (CC), such as squamous cell carcinoma (SCC). The tumor immune microenvironment (TIME) and tumor heterogeneity are recognized as pivotal factors in cancer progression and therapy. However, the disparities in TIME and heterogeneity between ADC and SCC are poorly understood.
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March 2025
Department of Pharmacy and Pharmaceutical Sciences, National University of Singapore, 18 Science Drive 4, 117543, Singapore.
Covering: up to early 2025Privileged compound classes of anti-inflammatory natural products are those where there are many reported members that possess anti-inflammatory properties. The identification of these classes is of particular relevance to drug discovery, as they could serve as valuable starting points in developing effective and safe anti-inflammatory agents. The privileged compound classes of natural products include the polyphenols, coumarins, labdane diterpenoids, sesquiterpene lactones, isoquinoline and indole alkaloids, each offering a variety of molecular scaffolds and functional groups that enable diverse interactions with biological targets.
View Article and Find Full Text PDFJ Neural Eng
March 2025
Center for Neurorestoration and Neurotechnology, Providence VA Medical Center, Providence, RI, United States of America.
Advances in electronics and materials science have led to the development of sophisticated components for clinical and research neurotechnology systems. However, instrumentation to easily evaluate how these components function in a complete system does not yet exist. In this work, we set out to design and validate a software-defined mixed-signal routing fabric, 'xDev', that enables neurotechnology system designers to rapidly iterate, evaluate, and deploy advanced multi-component systems.
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January 2025
Section of Infectious Diseases, Department of Medicine, Boston University Chobanian and Avedesian School of Medicine/Boston Medical Center, 801 Massachusetts Avenue, Boston, MA 02118, USA.
Background: The Supplemental Nutrition Assistance Program (SNAP) is an underutilized program. SNAP uptake is limited in Latine households in particular due to concerns about immigration eligibility, even when there are SNAP-eligible household members. Implementation strategies are urgently needed to increase SNAP participation rates among those who are eligible.
View Article and Find Full Text PDFBr J Clin Pharmacol
March 2025
Faculty of Health, Department of Medicine, Witten-Herdecke University, Witten, Germany.
Aims: This study aimed to evaluate the accuracy and completeness of GPT-4, a large language model, in answering clinical pharmacological questions related to pain therapy, with a focus on its potential as a tool for delivering patient-facing medical information. The objective was to assess its reliability in delivering medical information in the context of pain management.
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