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A comprehensive benchmarking for evaluating TCR embeddings in modeling TCR-epitope interactions.
Brief Bioinform
November 2024
Department of Computer Science, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, 999077, China.
The complexity of T cell receptor (TCR) sequences, particularly within the complementarity-determining region 3 (CDR3), requires efficient embedding methods for applying machine learning to immunology. While various TCR CDR3 embedding strategies have been proposed, the absence of their systematic evaluations created perplexity in the community. Here, we extracted CDR3 embedding models from 19 existing methods and benchmarked these models with four curated datasets by accessing their impact on the performance of TCR downstream tasks, including TCR-epitope binding affinity prediction, epitope-specific TCR identification, TCR clustering, and visualization analysis.
View Article and Find Full Text PDFUsing Large Language Models to Detect and Understand Drug Discontinuation Events in Web-Based Forums: Development and Validation Study.
J Med Internet Res
January 2025
Department of Industrial and Systems Engineering, The University of Florida, GAINESVILLE, FL, United States.
Background: The implementation of large language models (LLMs), such as BART (Bidirectional and Auto-Regressive Transformers) and GPT-4, has revolutionized the extraction of insights from unstructured text. These advancements have expanded into health care, allowing analysis of social media for public health insights. However, the detection of drug discontinuation events (DDEs) remains underexplored.
View Article and Find Full Text PDFOvercoming Hesitancy and Barriers to Care with Integration of Telemedicine in a Free Student-run Health Clinic.
J Prim Care Community Health
January 2025
University of California, Davis, Division of Hospital Medicine, Sacramento, CA, USA.
Introduction: Nadezhda Clinic is a free student-run health clinic that provides culturally sensitive primary care services to the underserved Russian-speaking population of the greater Sacramento area. At the onset of the COVID-19 pandemic, the clinic suspended in-person services and solely offered telemedicine visits. Most patients were hesitant to utilize telemedicine due to poor technological literacy, privacy concerns, and a preference for in-person care.
View Article and Find Full Text PDFLatent Profile Analysis of Fatigue Subtypes in Adults with Type 2 Diabetes.
Nurs Res
January 2025
School of Nursing, The University of Texas at Austin.
Background: People with type 2 diabetes mellitus (T2DM) commonly report a higher fatigue intensity than the general population. However, effective fatigue management is lacking because little is known about other fatigue characteristics, including timing, distress, and quality, as well as the potential fatigue subtypes experienced in people with T2DM.
Objective: To describe fatigue intensity, timing, distress, and quality, and identify fatigue subtypes in people with T2DM.
Rehabilitation and intervention of developmental and acquired prosopagnosia: A systematic review.
Neuropsychol Rehabil
January 2025
School of Psychological Sciences, Macquarie University, Marsfield, NSW 2109, Australia.
Prosopagnosia is a neurological disorder; characterized by an impairment in facial recognition. It can occur from acquired prosopagnosia (occurring in approximately 5.6% of the population), or from developmental prosopagnosia (occurring in approximately 2% of the population).
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