AI Reads Three Layers of Breast Cancer Biology at Once to Sharpen Subtype Diagnosis
A new hierarchical cross-attention framework integrates mRNA, microRNA, and DNA methylation data to classify breast cancer subtypes more accurately and ...
A new hierarchical cross-attention framework integrates mRNA, microRNA, and DNA methylation data to classify breast cancer subtypes more accurately and ...
Researchers at Sun Yat-Sen University have developed a three-gene signature based on platinum resistance biology that predicts overall survival and ...
New research reveals that HGF/c-MET signaling reprograms glutamine metabolism in MET-amplified head and neck cancer cells through ERK-dependent induction of ...
A multi-omics study identifies the immune checkpoint molecule BTLA as significantly upregulated in ovarian cancer and associated with favorable overall ...
A leakage-aware, auditable computational framework trained on LINCS L1000 signatures identifies class I HDAC inhibitors, led by Mocetinostat, as top ...
Researchers have built an open-source single-cell framework that maps injury, resolution and antigen-presentation programs in tumor myeloid cells across cancers.
A new study identifies a four-gene expression signature linked to young age that independently predicts recurrence risk in breast cancer.
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© 2026 Scienmag - Science Magazine