Harvard Medical School researchers developed a 50% more effective AI model, TxGNN, to identify drug candidates for 17,000 rare diseases.

Harvard Medical School researchers have created an AI model called TxGNN to identify drug candidates for over 17,000 rare diseases, many lacking treatments. This innovative tool analyzes existing medications, predicting potential side effects and contraindications, and is 50% more effective than current models. Freely available, it aims to assist clinician-scientists in developing new therapies and addressing health disparities in underserved conditions.

September 25, 2024
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