Researchers at the University of Southern California have developed a multiscale probabilistic modeling framework that uses Bayesian inference to integrate machine-learning predictions of binding affi…
Hemminger and colleagues introduced CIPHER, a neural-network framework that jointly optimizes gene pooling into measurement channels and downstream cell embedding for aggregated spatial transcriptomic…
A systematic review of 97 studies from 2020 to 2026 found that large AI models in dentistry fall into three categories—language-generative, discriminative vision, and dental-specific foundation models…
Amazon Quick Research now enables researchers to integrate biomedical databases for rare cancer investigations by ingesting structured and unstructured data from sources like PubMed and applying LLM-d…
A developer built a production-grade Medical Retrieval-Augmented Generation (RAG) system that cures LLM hallucinations by grounding clinical AI responses in peer-reviewed evidence from the PubMed API.…
A developer built a clean, reproducible academic dataset pipeline using ScholarAPI, an API that provides access to 30 million open-access papers with pre-extracted full text in structured JSON format.…