医工融合 构建临床医学创新生态链

Core Viewpoint - Tsinghua University’s Beijing Tsinghua Changgung Hospital has launched a clinical medicine technology innovation platform to enhance collaboration in clinical research and development, aiming to address key challenges in clinical medicine and accelerate the transition of new technologies to clinical applications [1][2] Group 1: Platform Launch and Structure - The newly established platform integrates six core entities: Clinical Biobank Resource Center, Clinical Drug and Device Testing Center, Clinical Translational Medicine Center, Medical Data Science Center, Health Technology R&D Center, and Clinical Research Center [1] - This platform aims to create a collaborative innovation system that covers the entire chain from clinical research to clinical validation, facilitating resource sharing and capability enhancement among the entities [1] Group 2: Mission and Goals - The platform is designed to fulfill three main missions: to build a collaborative innovation hub, to cultivate leading teams in medical-engineering integration, and to drive the application of smart healthcare technologies [1] - The focus is on accelerating the transition of new technologies from the laboratory to clinical settings, ultimately benefiting public health with innovative outcomes [1] Group 3: Collaborative Initiatives - Tsinghua Changgung Hospital has initiated a comprehensive research alliance to share resources and conduct high-level clinical research in collaboration with multiple medical institutions [2] - Strategic partnerships have been established with Tsinghua University’s Biomedical Engineering Department and the National Key Laboratory of Membrane Biology, enhancing the research capabilities [2] Group 4: Innovation Outcomes - The conference showcased significant innovations, including the launch of the "Qingxin" ECG model and the "AI Liver and Gallbladder Super Doctor" intelligent system, demonstrating the effectiveness of medical-academic and medical-enterprise collaborations [2] - The event featured a keynote report by academic leaders discussing the evolving role of doctors in the AI era, emphasizing the need for improved clinical decision-making and integration of medical-engineering practices [2]