Group 1 - The emergence of AI technology has created numerous opportunities, particularly in the field of life sciences, which has a long history of application [1] - AI is widely regarded as a tool for enhancing efficiency, especially in promoting human health and longevity [1] - The average life expectancy in Japan is 87 years for women and 81 years for men, while China's average life expectancy is approximately 74 years [2] Group 2 - The challenges to human life extension have shifted towards chronic diseases such as cardiovascular diseases, cancer, and neurodegenerative diseases [3] - There is a significant gap between average life expectancy and healthy life expectancy, with men experiencing an 8.8-year gap and women a 12-year gap [3] - The concept of "preventive medicine" is emphasized in both Western and Chinese medical practices, focusing on early intervention before disease onset [3] Group 3 - The goal of Medicine 3.0 is to extend healthy life expectancy to 90 or even 100 years through early detection and intervention of chronic diseases [4] - Research indicates that genetic factors account for only 15% of longevity, while 85% is determined by lifestyle choices [4] - The core of Medicine 3.0 is continuous health data monitoring and intervention, allowing individuals to manage their health proactively [4] Group 4 - Significant advancements in aging and longevity research have been made with the application of AI technology [5] - Aging markers have evolved from nine to twelve and are expected to expand further, revealing complex mechanisms of aging [5] - The identification of aging markers includes factors such as genomic instability and telomere shortening, which are critical in understanding aging [5] Group 5 - The anti-aging market faces challenges, including the lack of rigorous clinical validation for many products and therapies [18] - The global aging trend presents both challenges and opportunities for the health management industry, particularly in China [38] - Personalized interventions are essential for effective health management, utilizing regular health assessments and biological marker testing [40] Group 6 - The future of health management is expected to see breakthroughs through early detection and personalized interventions, potentially extending human lifespan to around 100 years [43] - The integration of AI technology in health management can facilitate the understanding and management of health by transforming complex scientific terms into accessible language [44] - The trend of quantifying health or life is gaining momentum, particularly in Silicon Valley, indicating a future direction for the industry [44]