Study reveals potential of AI-powered tumor microenvironment assessment in predicting treatment outcomes in rare cancer patients receiving pembrolizumab
SEOUL, South Korea, Nov. 8, 2024 /PRNewswire/ -- Lunit (KRX:328130.KQ), a leading provider of AI-powered solutions for cancer diagnostics and therapeutics, today announced groundbreaking research findings demonstrating the potential of its AI to predict immunotherapy treatment outcomes in rare tumors. Conducted in collaboration with The University of Texas MD Anderson Cancer Center, this study will be presented at the Society for Immunotherapy of Cancer (SITC) 2024 Annual Meeting, held November 6-10 in Houston, Texas. Accepted as a Rapid Oral presentation, the study will be presented by Mohamed Derbala, M.D., a research scientist at MD Anderson. It has also been selected as one of the SITC TOP 100 abstracts, underscoring its potential significance and impact in the field of immunotherapy.
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