09/23/2026
Researchers in the Kirienko Lab have developed a machine-learning method to identify potential drug candidates and new therapeutic targets for acute myeloid leukemia (AML).
The team screened more than 4 million compounds computationally, identifying candidates that showed promising results in laboratory testing.
https://news.rice.edu/news/2026/new-method-identifies-leukemia-drug-candidates-and-target