Powered by the leading AI technology and metabolic disease sample database, the high-precision chronic disease screening solutions are built to assess the risks for common chronic diseases.

Screen for five chronic diseases at five risk levels

Predict and analyze 3-10 year risk for chronic diseases

Provide personalized risk factor analysis and health intervention programs

Based on AI technologies for decision making, build a data-driven digital twin for COVID-19 pandemic at different administrative levels to estimate the impact of control measures on spreading trends and provide basis for scientific resumption planning.

Trace the transmission routes backward, and build contact networks

Enrich the models with screening rules to identify population at a high risk of infection

Simulate the epidemic spreading trends to support macro decision-making

Train predictive machine learning models at scale with AutoML technology to assist physicians without ML expertise in predicting birth weights and providing guidance for childbirth delivery options.

Adopt AutoML technology

Ensure high prediction accuracy, with an error within 205.3g

Relevant research outcome was published on academic journal; deliver better outcomes than classic formula; provide guidance on clinical practice.

Train predictive machine learning models at scale with technologies like automated GBDT algorithm parameter tuning to improve prediction accuracy by 12%, giving a helpful reference for surgical decision-making.

Higher prediction accuracy when comparing to Cox regression analysis

Enable preoperative decision-making before operation

Apply cutting-edge technologies like AutoCV and OCR for various scenarios to accelerate the digital transformation of healthcare. Provide AI-assisted diagnosis and treatment functions to speed up medical image reading, reduce physician’s workload and improve medical treatment efficiency.

Apply AI technologies to different scenarios and processes (like target-based screening, compound synthesis) at different development stages (like drug discovery and preclinical research), improving development efficiency and speeding up development cycle.

Powered by AI technologies, provide AI-based solutions to help hospitals, medical staff and medical insurance agencies enhance diagnosis & treatment processes, improve efficiency and deliver outstanding patient experience.

Based on Internet technologies, edge computing technologies and AI technologies, provide human-machine interaction solutions for smart family to build better family life together with smart city and smart community services.