Researchers introduced RegNetAgents, a multi-agent AI framework for identifying regulatory driver candidates across heterogeneous gene regulatory networks in cancer genomics. The system integrates TCG…
A new self-supervised learning framework, Tiny Vision Transformer with Pathology-Aware Prototype Distillation (TVT-PAPD), achieved a weighted F1-score of 93.02% on the TCGA LGG and GBM dataset and 90.…
Researchers propose MuCoDi, a pretraining framework that distills knowledge from multiple large pathology foundation models into compact edge-oriented encoders, achieving near-teacher performance with…
A review published in Current Molecular Pharmacology surveys computational approaches for predicting tumor drug resistance, led by researchers at Shanghai Jiao Tong University School of Medicine. The …
Researchers developed an online adaptive clinical decision support AI system that integrates treatment effect estimation, patient digital twins, and reinforcement learning to recommend treatments in r…