Medicine and HealthNature Communications
Expanding drug targets for 112 chronic diseases using a machine learning-assisted genetic priority score
R. Chen, A. Duffy, et al.
Discover ML-GPS, a groundbreaking machine learning-assisted genetic priority score developed by Robert Chen and colleagues, designed to revolutionize drug target discovery for chronic diseases. This innovative approach not only enhances prediction accuracy but also uncovers thousands of potential gene-phenotype pairs, paving the way for new drug targets in clinical trials.
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