Top 40
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ML / AI methods
Graph and language-model architectures predict drug-target affinity and interactions
Multiple December 2025 studies pair learned protein and drug representations with graph, Mamba, or attention models for binding prediction.
Transcriptomics
Reference-based benchmarking now validates transcriptomic analysis tools across modalities
Replicated long-read data, spatial batch effects, and imaging segmentation errors now demand explicit validation of analysis tools against defined reference…
ML / AI methods
Pathology foundation models are coupled with omics, text, and spatial representations
Preprints and published papers in December 2025 pair histology foundation models with genomic, text, and spatial omics inputs.
Systems biology
Genome-scale models link bacterial gene content to metabolic function across strains
Genome-scale metabolic models and Tn-seq now scale to thousands of genomes and multiple strains, connecting gene content to metabolic function.
ML / AI methods
Learned models couple omics data and biomedical text for traceable hypothesis generation
Retrieval-grounded LLM and graph systems now link omics and disease associations to literature evidence for hypothesis testing.