Biomedical philanthropy promises dramatic expansion and AI focus.
November 10, 2025Biomedical philanthropy expands with AI focus, as Chan Zuckerberg Initiative prioritizes science for impactful funding. ๐ก๐ฐ
Weekly Health & AI Digest – November 10, 2025
November 10, 2025Here are the latest breakthroughs in health & AI (November 10, 2025 week) ๐น Task optimized vision transformer for diabetic retinopathy detection and classification in resource constrained early diagnosis settings. Task-Optimized Vision Transformer achieves 99% accuracy in diabetic retinopathy detection...
Task optimized vision transformer for diabetic retinopathy detection and classification in resource constrained early diagnosis settings.
November 10, 2025Task-Optimized Vision Transformer achieves 99% accuracy in diabetic retinopathy detection on low-cost hardware. ๐ฉบ๐๏ธ
Developments in diagnosis and treatment of early hypopharyngeal carcinoma and precancerous lesions: A review.
November 9, 2025Early hypopharyngeal carcinoma: AI and ME-NBI enhance detection; minimally invasive surgery improves outcomes. ๐๐
ResNet-EfficientNet powered framework for high-precision cough-based classification of infectious diseases.
November 8, 2025Deep learning models like ResNet achieve 98.5% accuracy in COVID-19 cough sound classification. ๐๐ค
A Prompt Engineering Framework for Large Language Model-Based Mental Health Chatbots: Conceptual Framework.
November 8, 2025Exploring MIND-SAFE: A Framework for Ethical AI in Mental Health Chatbots ๐ค๐ง
Exploring an LLM’s Use in Supporting Journal Club Preparation and Discussion Among Residents.
November 7, 2025LLMs enhance journal club engagement for dental residents, improving comprehension and confidence. Key skills: prompt-writing, critical thinking. ๐๐ค
Children’s drug research and development incentives and market pricing optimization based on medical imaging.
November 7, 2025Children's drug development: 32.7% tumor reduction via imaging data. Optimized pricing ensures accessibility and R&D efficiency. ๐๐
Cracking the code: a head-to-head comparison of expert clinicians and artificial intelligence in diagnosing rare diseases.
November 7, 2025AI vs. Clinicians: 28% Diagnosis Match in Rare Diseases ๐ค๐ฉบ