Editorial Summary

Pain: AI-based platform could aid analgesic drug discovery

A microscopy technique coupled with an artificial intelligence (AI) platform could help researchers discover new types of pain-relief medicines. A team from South Korea led by Sun Kwang Kim of Kyung Hee University and Sang Jeong Kim of Seoul National University created a machine-learning algorithm that converts calcium signaling data in the brain, as estimated via imaging on genetically engineered mice, into a measurement of pain intensity. The researchers applied the technique to several mouse models of chronic pain and showed that it accurately captured the analgesic effects of known painkillers. They also extended the system to multiple brain regions, cell types and another brain-controlled sensory process, itch. The researchers propose using the AI-based tool to evaluate candidate anti-pain and anti-itch medicines ahead of human trials.

Development of a spontaneous pain indicator based on brain cellular calcium using deep learning | Experimental & Molecular Medicine (nature.com) 

서울의대에서 박사학위를 받으신 후, 미국 스탠포드 대학에서 박사후과정을 거쳐 경희한의대 생리학교실에 연구교수로 부임하였습니다.

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