Green Methyl Presents Longevity AI Concept at Anti-Aging Medicine Conference
The presentation signals a shift in longevity AI from data analysis to a framework that incorporates behavioral and cognitive factors, aligning with the WHO definition of healthy aging.
Reporting from 1 source: ASCII.jp.
Green Methyl Co., Ltd. gave a lecture at the 26th Annual Meeting of the Japanese Society of Anti-Aging Medicine, introducing Longevity AI as an AI foundation that integrates blood nutrition analysis, lifestyle background, and cognitive science data to support physician judgment, patient explanation, and consensus building. The presentation moved beyond simple test value visualization toward a framework incorporating behavior and environment.
The lecture was part of the President's Planning Symposium 4: AI Technology at the conference, held June 26-28 at Pacifico Yokohama North. Speaker Ryota Kobayashi presented under the title "Medical AI-Generated Blood Nutrition Analysis Report and Treatment Roadmap Generation." The concept frames Longevity AI not as disease management or test value visualization, but as an AI foundation that connects blood tests, interviews, symptoms, lifestyle background, and health goals. The company cited the WHO definition of Healthy Ageing as developing and maintaining functional ability, and argued that AI must integrate cognition, decision-making, and behavioral sustainability alongside physical data.
Synthesized by Yomimono from the 1 cited source below, including Japanese-language reporting where cited, then editorially reviewed before publishing.