Finding New Uses for Existing Medicines
AI is accelerating drug repurposing by identifying new therapeutic applications for approved drugs. This approach significantly reduces development time and cost while leveraging existing safety data.
AI models predict interactions between approved drugs and disease-related proteins, identifying unexpected therapeutic opportunities. This in silico screening examines thousands of drug-target combinations rapidly.
Machine learning analyzes biological networks to understand how drugs affect cellular pathways, revealing potential applications in diseases sharing similar molecular mechanisms.
AI mines electronic health records and scientific literature to identify serendipitous observations of drug efficacy in unexpected conditions, generating repurposing hypotheses.
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