Purpose: Little is known about the specific needs during training for hematology/oncology providers practicing in community-based settings. We conducted a national survey of hematologists/oncologists employed in community or academic-community hybrid settings to delineate their educational needs.
Methods: An electronic questionnaire was developed and distributed nationally through professional organizations. We primarily assessed whether survey participants received any specific training during fellowship for community-based practice. Participants were also surveyed regarding training experiences that might have affected their preparation. Relative risk (RR) and 95% CI were calculated using modified Poisson regression to identify factors associated with receiving training specifically for community-based settings.
Results: Of 125 participants from across 25 states, 63% were male and 58% identified as White. Less than half (41.6%, binomial 95% CI, 32.8 to 50.7) received any training in a community-based setting. Participants identified rotations in community settings (47%), direct mentorship from community-based physicians (40%), and longitudinal clinic in a community setting (36%) as experiences that would have been valuable. Specific curricula of interest included medical operations and administration (63%), health policy (35%), and quality improvement (27%). Respondents in clinical practice for <10 years were more likely to have received any training specifically for a community-based career (RR, 2.13 [95% CI, 1.18 to 3.86]).
Conclusion: Our study demonstrates substantial unmet needs as they relate to deliberately training fellows destined for community-based careers. Prospective design of clinical training and curricula emphasizing longitudinal exposures to and key aspects of health care delivery in the community setting are paramount to achieving optimal goal-concordant hematology/oncology training during fellowship.
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http://dx.doi.org/10.1200/OP.23.00698 | DOI Listing |
J Med Internet Res
January 2025
School of Journalism and Communication, Beijing Normal University, Beijing, China.
Background: Digital health interventions have emerged as promising tools to promote health behavior change and improve health outcomes. However, a comprehensive synthesis of strategies contributing to these interventions is lacking.
Objective: This study aims to (1) identify and categorize the strategies used in digital health interventions over the past 25 years; (2) explore the differences and changes in these strategies across time periods, countries, populations, delivery methods, and senders; and (3) serve as a valuable reference for future researchers and practitioners to improve the effectiveness of digital health interventions.
Bioinformatics
January 2025
Bioinformatics Lab, Advanced Research Institute for Informatics, Computing and Networking, De La Salle University, Manila, 1004, Philippines.
Motivation: Recent computational approaches for predicting phage-host interaction have explored the use of sequence-only protein language models to produce embeddings of phage proteins without manual feature engineering. However, these embeddings do not directly capture protein structure information and structure-informed signals related to host specificity.
Results: We present PHIStruct, a multilayer perceptron that takes in structure-aware embeddings of receptor-binding proteins, generated via the structure-aware protein language model SaProt, and then predicts the host from among the ESKAPEE genera.
Bioinformatics
January 2025
School of Artificial Intelligence, Jilin University, Jilin, China.
Motivation: Predicting RNA-binding proteins (RBPs) is central to understanding post-transcriptional regulatory mechanisms. Here, we introduce EnrichRBP, an automated and interpretable computational platform specifically designed for the comprehensive analysis of RBP interactions with RNA.
Results: EnrichRBP is a web service that enables researchers to develop original deep learning and machine learning architectures to explore the complex dynamics of RNA-binding proteins.
J Mater Chem B
January 2025
Key Laboratory of Marine Drugs, Ministry of Education; School of Medicine and Pharmacy, Ocean University of China, 5 Yushan Road, Qingdao 266003, China.
Amyloidosis of the human islet amyloid polypeptide (hIAPP) is closely related to the pathogenesis of type 2 diabetes (T2D) and serves as both a diagnostic hallmark and a key therapeutic target for T2D. In this study, we discovered that oritavancin (Ori), a glycopeptide antibiotic primarily prescribed for Gram-positive bacterial infections, can dose-dependently inhibit recombinant hIAPP (rhIAPP) amyloid formation. Ori specifically inhibited rhIAPP amyloid formation at the initial nucleation stage but didn't affect mature rhIAPP fibrils.
View Article and Find Full Text PDFCurr Cardiol Rep
January 2025
Center for Cardiovascular Research, Division of Cardiology, Department of Medicine, Washington University School of Medicine, 660 S Euclid Ave, Campus Box 8086, St. Louis, MO, 63110, USA.
Purpose Of Review: This review aims to explore the role of immune memory and trained immunity, focusing on how innate immune cells like monocytes, macrophages, and natural killer cells undergo long-term epigenetic and metabolic rewiring. Specifically, it examines the mechanisms by which trained immunity, often triggered by infection or vaccination, could impact cardiac processes and contribute to both protective and pathological responses within the cardiovascular system.
Recent Findings: Recent research demonstrates that vaccination and infection not only activate immune responses in circulating monocytes and tissue macrophages but also affect immune progenitor cells within the bone marrow environment, conferring lasting protection against heterologous infections.
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