数字医疗孵化2.0临床孵化转化创新解决方案

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专家热议:促进“产学研医资政”深度融合 加速创新科研成果落地转化
Ren Min Wang· 2025-06-20 09:02
Core Viewpoint - The 2025 CACA East China Integrated Oncology Conference highlighted the importance of deep integration of "industry, academia, research, medical, finance, and government" resources to accelerate the translation of cancer prevention and treatment research into clinical applications [1][2] Group 1: Innovation and Research - Eight innovative research projects in fields such as liver cancer, breast cancer, lung cancer, and lymphoma were presented at the conference [1] - The director of the China Anti-Cancer Association's Industry-Academia-Research Transformation Committee emphasized the need to streamline the entire chain of "industry, academia, research, medical, finance, and government" to promote digital medical innovation and research results [2] Group 2: AI Technology in Clinical Applications - AI technology is recognized as a key driver for new productivity and an important tool for promoting precision medicine [3] - AI can integrate various data types, such as pathological images and genetic information, to assist clinicians in improving diagnostic efficiency and providing personalized treatment plans [3][4] Group 3: Clinical Decision Support and Patient Management - The "Smart Medical Incubator" project aims to discover valuable clinical innovations and research data to address public health needs [5] - Clinical Decision Support Systems (CDSS) are being developed to integrate patient imaging data and drug efficacy prediction models, enhancing patient benefit rates [5]