Top 40
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ML / AI methods
Interpretable models link omics and histology data to cancer biomarkers and prognosis
Interpretable architectures now target multi-omics, histology and legacy microarray data for cancer biomarker discovery and prognosis.
Structural bio & protein design
Machine learning links protein topology and ensembles to binding prediction
Recent work adds dynamics, ensembles, and topology to structure-based learning for binding affinity, docking, and interface prediction.
ML / AI methods
Controlled evaluation of representation and context in biological foundation models
Independent benchmarks now test RNA, splicing, and enzyme predictors on novel folds, decoys, and synthetic variants, exposing generalization limits.
Epigenomics
Cell-type chromatin accessibility links brain aging, longevity, and disease risk
Single-cell chromatin accessibility now resolves aging clocks, longevity signatures, and disease regulatory networks at cell-type resolution.
Structural bio & protein design
Model-guided design of aptamers, glues and degraders tested in wet-lab screens
Design pipelines now close the loop between structure-model feedback and wet-lab measurement across aptamers, glues, degraders, and genome editors.