1.The product comprises wearable devices, IoT environmental sensors, modular prediction models, a personal health app,an AI-assisted platform. It can collectmonitor users＇ lifestylesenvironments automaticallypredict the possibility of emergencies to assist medical staff in making decisions. 2.Modular prediction models have passed external validation, including panic, colorectal cancer,COPD, with an average (accuracy=0.85, sensitivity=0.76, specificity=0.86, F1=0.81)

We create an effective way to collect lifestyle, environment,symptom records improve the prediction model＇s performance by adding objective, comprehensive datafeature selection. All chronic disease-related data are uploaded automatically. Modular models with a few features facilitate the deployment of AI in the real world. The resultant comprehensive view of patient data could help physicians to formulate personalized health promotion plansachieve precision health management.

This service is used in precision healthactive aging industries through subscri ption-based customized solutions has successfully assisted clinical researcherselderly care institutions in instantly understanding the status of ~2000 casesdeveloping personalized health promotion plans.Modular AI models calculate the risk of acute exacerbation in chronic diseases based on daily automatic upload dataprovide real-time alerts to caregivers, aiding decision-making support.