AI-Powered Statistics Project Aims to Decode the Genetic Switches Behind Eye Disease
A $1.96 million National Eye Institute grant will fund UT Arlington researchers developing AI and Bayesian statistical tools to identify ...
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 ...
Researchers report that mitochondrial quality regulation gene activity defines two prognostically distinct breast cancer subtypes and supports a seven-gene survival ...
A new machine learning framework called Seq2DomML predicts residue-level protein domain boundaries in bacterial proteins directly from sequence, outperforming established ...
A comparative transcriptomic study of fifteen cotton pest species across four insect orders identifies conserved genes such as vitellogenin and ...
Researchers combined UniProt protein embeddings with attention-enhanced deep neural networks to classify plant enzymes with near-perfect accuracy across four major ...
A new multimodal AI framework called TriCCA-PPI fuses sequence, structure, and functional data through chained cross-attention to predict protein-protein interactions ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine