Researchers developed an ensemble of large language models, including Google's Gemini and Gemma, to automatically identify EQ-5D health-related quality-of-life studies in PubMed from abstracts. The we…
Noah AI launched a domain-specific AI platform for pharma, biotech, and medical professionals, offering cited reports grounded in PubMed, clinical guidelines, patents, and professional databases. The …
A developer built Paper-to-Action, an AI agent using LangGraph, ChromaDB, and Mistral-7B that monitors scientific research papers and generates personalized health interventions. The agent employs a m…
A developer built a self-improving health platform called Longevity AI that uses five AI agents to automatically update its knowledge base every week without human intervention. The system runs synthe…
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.…