AI Agents Learn to Find, Rerun, and Reanalyze Published Omics Data
A new agentic framework uses large language model agents with containerized tools to retrieve, re-quantify, and synthesize published omics data, ...
A new agentic framework uses large language model agents with containerized tools to retrieve, re-quantify, and synthesize published omics data, ...
A new bioinformatic study in Reproductive Sciences shows that a risk model built from telomere-related senescence genes can independently predict ...
A new open-source algorithm called Wild-AC extends the classic Aho-Corasick string matcher to handle ambiguous amino acids in protein databases, ...
A large computational and experimental study has identified ABCD2 as the only gene biomarker shared across five HLA-B27-associated immune-mediated diseases, ...
An integrated bioinformatics and machine learning study identifies five shared diagnostic genes connecting sepsis and thoracic aortic aneurysm through immune ...
A $1.96 million National Eye Institute grant will fund UT Arlington researchers developing AI and Bayesian statistical tools to identify ...
A new graph-based machine learning method called GraphiRNA models the relationships among microRNAs, including negative correlations, to diagnose Alzheimer's disease ...
Researchers have developed stMCP, a Model Context Protocol server that lets scientists analyze spatial transcriptomics data through natural language while ...
Researchers at Semmelweis University show that the standard human reference genome can cause automated whole-genome analyses to flag healthy individuals ...
Researchers have developed miRDrug, a machine-learning platform that integrates three biological databases to map the shared genes linking microRNAs, drugs ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine