Artificial Intelligence Helps Identify Effective Cancer Drug Combinations

Artificial intelligence (AI) can help scientists predict what combinations of already existing drugs may work in different types of cancer, according to two new studies from Weill Cornell Medicine researchers. The findings, they say, could save scientists valuable research time and potentially bring new treatments to patients much more quickly. Finding effective new drug combinations is currently “difficult for several different reasons,” said Dr. Olivier Elemento, associate director of the HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine and an associate professor of physiology and biophysics at Weill Cornell Medicine. For example, 100 drugs can be used to create 5,000 two-drug combinations. If researchers want to study combinations of three or four drugs, the number of potential groupings grows rapidly, and the ability to experimentally test…


Link to Full Article: Artificial Intelligence Helps Identify Effective Cancer Drug Combinations

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