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Machine learning for cancer — biomarkers, therapeutic targets, and prognosis.
2 papers in this topic (ICML 2026).
Susu Hu, Stefanie Speidel
Inferring spatial transcriptomics (ST) from histology enables scalable histogenomic profiling, yet current methods are largely restricted to single-tissue models. This…
Nikita Makarov, Maria Bordukova, Lena Voith von Voithenberg, Estrella Pivel-Villanueva +4
Precision oncology requires forecasting clinical events and trajectories, yet modeling sparse, multi-modal clinical time series remains a critical challenge. We introduce…
Metadata from BioTender-max/icml2026-ai-bio (CC0-1.0).