CTMS临床研究管理系统
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产学研用深度融合,中试基地多项成果发布
Bei Jing Shang Bao· 2025-09-12 07:43
Core Insights - The "Artificial Intelligence + Healthcare" seminar successfully took place during the 2025 China International Service Trade Fair, focusing on the integration of AI and healthcare, and announced significant achievements from the National AI Application Pilot Base in Beijing [1] Group 1: AI Applications in Healthcare - Over a hundred AI applications have been developed, covering 30 critical clinical scenarios, enhancing precision diagnosis and accelerating biopharmaceutical manufacturing [2] - The pilot base released four key achievements in precision diagnosis, including a secure medical data space service, a comprehensive medical data annotation service, and a unified AI application promotion service [2][3] Group 2: Collaboration and Partnerships - The seminar facilitated efficient connections between hospitals, research institutions, and pharmaceutical companies, resulting in several cooperation agreements [3] - The pilot base collaborated with three major hospitals to release significant results, including an ultrasound diagnostic model for cardiovascular diseases and an AI system for liver and gallbladder diagnostics [4] Group 3: Advancements in Biopharmaceutical Manufacturing - The pilot base introduced two major achievements aimed at improving pharmaceutical manufacturing efficiency, including a public service platform for drug development and a clinical trial management system [3]
2025年服贸会 | 产学研用深度融合,中试基地多项成果发布
Bei Jing Shang Bao· 2025-09-12 07:40
Core Insights - The "Artificial Intelligence + Healthcare" seminar successfully took place during the 2025 China International Service Trade Fair, focusing on the integration of AI and healthcare, and promoting collaboration among government, industry, academia, and medical sectors [1] - The seminar highlighted significant achievements from the National AI Application Pilot Base in Beijing, covering areas such as precision diagnosis and drug development, contributing to the dual development of healthcare and AI [1][3] Group 1: AI Applications in Healthcare - Over a hundred AI applications have been developed, covering 30 critical clinical scenarios, enhancing precision diagnosis efficiency and accelerating biopharmaceutical manufacturing innovation [3][4] - The AI applications include a comprehensive management platform for medical data annotation, ensuring efficient and authoritative data labeling, and a unified management service for AI applications [4] Group 2: Achievements in Precision Diagnosis - The pilot base released four key achievements in precision diagnosis, including a secure data space service for medical data, a medical data annotation service, and a promotion service for AI applications [4] - Collaborations were established between hospitals and companies, facilitating resource linkage and enhancing the operational efficiency of AI applications in clinical settings [4][6] Group 3: Innovations in Biopharmaceutical Manufacturing - In the biopharmaceutical manufacturing sector, the pilot base introduced two major innovations: an AI drug development public service platform and a Clinical Trial Management System (CTMS) [5] - These innovations aim to improve the efficiency of drug manufacturing and streamline clinical research processes, enhancing overall quality and effectiveness [5] Group 4: Collaborative Efforts and Ecosystem Development - The seminar featured collaborative achievements with major hospitals, focusing on the development of AI models for cardiovascular diagnostics and liver disease management, showcasing the integration of clinical needs with technological advancements [6] - The establishment of an ecosystem involving hospitals, research institutions, and technology companies aims to create a win-win scenario for the AI healthcare industry [7]