#clinical-trials2 articles

2 articles

AINeutralarXiv – CS AI · 6h ago1

🧠

Identifying and Characterising Response in Clinical Trials: Development and Validation of a Machine Learning Approach in Colorectal Cancer

Researchers developed a machine learning approach combining Virtual Twins method with survLIME to identify patient subgroups who respond differently to treatments in clinical trials. The method achieved 0.77 AUC for identifying treatment responders in colorectal cancer trials, finding genetic mutations, metastasis sites, and ethnicity as key response factors.

$CRV

AINeutralarXiv – CS AI · 6h ago0

🧠

Exploring Drug Safety Through Knowledge Graphs: Protein Kinase Inhibitors as a Case Study

Researchers developed a knowledge graph framework that integrates diverse data sources to predict adverse drug reactions for protein kinase inhibitors. The system combines drug-target data, clinical literature, trial metadata, and safety reports into a unified network for better drug safety analysis and pharmacovigilance.