Drug response prediction uses computational models and patient data to forecast how individuals will react to specific medications, guiding safer, more effective treatment choices. Clinicians, researchers, and patients benefit by reducing adverse reactions, optimizing dosages, and advancing personalized medicine. It accelerates drug development and supports precision healthcare decisions.
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