HMP Global September 27, 2024
Hannah Musick

Researchers at Harvard Medical School report they have developed a groundbreaking artificial intelligence tool, TxGNN, that can identify potential drug candidates for 17 080 diseases, many of which currently lack treatments, offering new hope for patients with rare and neglected conditions.

Developed by scientists at Harvard Medical School, TxGNN is the first AI model specifically designed to identify drug candidates for diseases with no current treatments. The tool outperformed existing AI models for drug repurposing. By predicting potential side effects and contraindications, TxGNN could offer a faster and more cost-effective approach to developing therapies compared to traditional methods.

Researchers share that using repurposed drugs for new treatments provides the advantage of utilizing medications with established safety profiles, regulatory...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Biotechnology, Pharma, Pharma / Biotech, Technology
Microsoft’s 10 new AI agents strengthen its enterprise automation lead
Learning the Language of Life with A.I.
How Payers are Using AI to Deny Claims and Dent Provider Revenue
4 Issues That Fall Between The Cracks Of Our AI Excitement
Generative AI Is Helping To Clear Up Brain Fog

Share This Article