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Stanford’s SleepFM AI Reads Disease Risk from a Single Night of Sleep
Stanford Medicine and researchers in Denmark and Boston have built an AI foundation model, SleepFM, that can read a single night of lab‑recorded sleep...
Google’s MedGemma 1.5 and MedASR: Transforming Medical Imaging and Speech Recognition with AI
Google’s Health AI-Developed Foundations (HAI-DEF) has released an updated version of MedGemma (v1.5), an open-source generative AI model with enhanced capabilities in medical imaging...
PanMAN Enables Scalable High-Resolution Pangenome Analysis
The study led by researchers from UC San Diego and UC Santa Cruz introduces PanMAN, a new data structure designed to overcome the limitations...
Solving a Long-Standing Genomics Bottleneck: KAIST Proposes AI-Powered Strategy for Gene Function Prediction
KAIST and UCSD researchers proposed AI-driven strategies for microbial gene function discovery, addressing the long-standing bottleneck where many microbial genes remain uncharacterized despite advances...
AI-Powered Metagenomics: How MetagenBERT Predicts Disease From Raw DNA Sequences
Researchers from Sorbonne University and Dauphine University, France, introduced MetagenBERT, a Transformer-based framework for disease prediction directly from raw metagenomic DNA without relying on...