Forbes September 26, 2024
Innovative approaches to drug discovery are needed to help find effective treatments for the myriad of diseases that afflict humanity. The process is extremely lengthy and expensive, with timelines up to 15 years, and costs over a billion dollars. Now TxGNN, a groundbreaking artificial intelligence (AI) model has been developed which promises to improve the way opportunities are identified for diseases with limited treatment options and made available for free to encourage clinician-scientists advance the search for new therapies.
Leveraging recent advances in geometric deep learning and human-centered AI, Harvard’s Zitnik lab has introduced TxGNN, a model designed to innovate drug repurposing and discovery. TxGNN is a graph neural network pre-trained on a comprehensive knowledge graph encompassing 17,080 clinically-recognized diseases...
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