Predicting Synergistic Drug Responses with Explainable Machine Learning Models.

TL;DR Summary
Researchers have developed a machine learning model that can predict the effectiveness of drug combinations for cancer treatment by analyzing gene expression data. The model uses explainable AI to identify the specific genes and pathways that contribute to the predicted response. The approach could help identify new drug combinations for cancer treatment and improve patient outcomes.
Topics:science#cancer-treatment#drug-combinations#explainable-ai#healthcare-technology#machine-learning#predictive-algorithms
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