Bio-IT World October 31, 2024
Harvard scientists have succeeded in using artificial intelligence (AI) to identify promising drug candidates for diseases for which there are no examples of successful treatment. The graph foundation model, known as TxGNN, opens untold opportunities to repurpose drugs for the thousands of diseases afflicting small populations and exacting a huge toll in terms of both economics and human suffering, according to Marinka Zitnik, Ph.D., assistant professor of biomedical informatics at Harvard Medical School.
“Existing drug-repurposing AI models are generally centered around one disease,” she says, mostly because they are often trained on data specific to that disease. That approach limits their ability to nominate potential uses across multiple conditions.
When dealing with a...
Today's Sponsors
Today's Sponsor