이주상 교수 사진

성균관대학교인공지능학과

Next-Gen Medicine Lab

이주상 교수

탑티어 논문
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전체 논문
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구성원
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연구실 소개

We are witnessing the beginning of a new generation of medicine. The unprecedented amount of large-scale next generation sequencing data from patients with cancer and other diseases makes data science and artificial intelligence (AI) play a pivotal role in biomedical research. The pressing question is how to best translate the accumulated data into a more effective practice of medicine. Next-Gen Medicine Lab (NGML) aims to integrate the biological big-data with AI and data science approaches and cutting-edge experimental techniques to find a better way to treat cancer patients. Our research covers highly translationally important questions in multiple fields of cancer biology including cancer immunotherapy. In particular, we focus on precision cancer medicine, tailoring the cancer treatments based on the molecular markup of individual patients from the perspective of AI and data science. Analyze biological big data to provide clinically relevant novel insights. Develop statistical algorithms to match right patients to the right drugs. Identify new opportunities to harness immune systems to fight against cancer. Metabolic dysregulation leads to cancer mutagenesis and new opportunities for treatment.

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연구 분야

Biological Big Data Analysis · Data Science and AI

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