Medical AI company Lunit (CEO Beom-seok Seo) announced on the 18th that it will participate in the '2026 American Association for Cancer Research (AACR 2026)' to be held in San Diego, USA from April 17 to 22 and will unveil six research results utilizing its AI biomarker platform 'Lunit SCOPE'.
Lunit has participated in the AACR for eight consecutive years since 2019, consistently presenting research results related to AI-based biomarker technology to academia and industry. In particular, through joint research with global pharmaceutical companies and medical institutions, it has verified the potential for AI technology to contribute to treatment decisions for cancer patients.
At AACR 2026, presentations are scheduled to include: ▲ comparison of digital and AI algorithms for analyzing HER2 low and very low expression in metastatic breast cancer samples ▲ analysis of the association between c-MET expression and the tumor microenvironment in non-small cell lung cancer ▲ prediction of response to tucatinib + trastuzumab combination therapy in HER2-positive metastatic colorectal cancer ▲ quantitative evaluation of tumor-infiltrating lymphocytes (iTIL, sTIL) within the tumor and stroma of non-small cell lung cancer and analysis of the association with response to immunotherapy ▲ discovery of 19 protein co-expression pairs through AI-based immunohistochemistry (IHC) image analysis ▲ research on biomarkers for predicting drug response in liver cancer patients using IHC analysis.
"When we participated in AACR eight years ago, our goal was to demonstrate the potential of AI for cancer treatment, but now our research objectives have shifted toward expanding the scope of application and clinical contribution of AI biomarkers," said Seo Beom-seok, CEO of Lunit. "We will simultaneously accelerate the speed and quality of future research to ensure that AI biomarkers establish themselves as a key tool for treatment decisions."
Meanwhile, the development of cancer research and treatment prediction platforms utilizing global medical AI technology is rapidly expanding.
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