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AI empowers Diagnosis, Treatment, and Prevention of Rare Diseases: Pilot Project Pioneers New Medical Paradigm

Release date:2024-03-22 Information source:Smart Medicine Innovation Alliance

On March 21, 2024, the signing ceremony for the pilot project between the Innovation Alliance (SMIA) and the "AI Diagnosis and Treatment Committee for Rare Diseases" (hereafter referred to as the AI Committee) took place at the Peninsula Beijing Hotel. Geng Yili, the rotating president of SMIA, and Paul Li, the chairman of the AI Committee, signed a memorandum of cooperation on the "Pilot Project for AI Diagnosis and Prevention of Rare Diseases." Both parties conducted in-depth discussions on the content of the cooperation and future developments, reaching a consensus.

Mr.Paul Li has extensive experience in the multinational pharmaceutical industry, having held positions at Eli Lilly, Abbott, Merck, Cephalon, Zhuojian Medical, Jack Berlin, and other multinational companies. He possesses unique insights into the diagnosis, treatment, and prevention of rare diseases and has the ability to integrate global resources to promote industry innovation. Under his leadership, the AI Committee will utilize advanced scientific and technological innovations such as big data, cloud computing, the Internet of Things, artificial intelligence, and mobile internet, as well as shared innovation models. This will drive public welfare innovation in AI diagnosis, treatment, medication, and payment for rare diseases, providing compliant and operational solutions for all parties in the medical and pharmaceutical ecosystems of the Greater Bay Area, Yangtze River Delta, and Beijing-Tianjin-Hebei regions. The AI Committee will also formulate corresponding service norms and quality standards.

The pilot project of the AI Committee aims to form a value-closed loop within the "government-hospital-doctor-insurance/patient-commercial-manufacturer-pharmacy-third-party service units" ecosystem, achieving service sharing, business symbiosis, and innovation for the benefit of all ecosystem participants. This will offer rare disease patients in China a new experience of "AI Diagnosis and Prevention + Public Welfare Sharing Model," enhance hospital informatization, intelligence, precision, and convenience, increase resource sharing, reduce the need for patients to visit hospitals frequently, and improve public satisfaction and a sense of achievement.

The core mission of the AI Committee's pilot project is to be patient-centered, using AI for diagnosis and prevention as a link, and based on information technology, intelligence, and standardized public welfare services, to create an "all-ecosystem sharing platform for rare disease diagnosis and treatment," achieving collaboration among medical institutions, pharmaceuticals, and social sectors.





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