国内首个患者智能匹配专利技术落地 翼帆医药重构临床药物试验招募逻辑

Core Insights - Waterdrop's subsidiary, Beijing Yifan Fengshun Pharmaceutical Technology Co., Ltd., has obtained a national invention patent for its "Intelligent Matching Technology for Clinical Drug Trial Patients," which addresses inefficiencies in patient recruitment for clinical trials [1][2] - The new technology integrates deep neural networks and natural language processing to enhance the efficiency and accuracy of patient matching, significantly accelerating the drug development process [1][3] Group 1: Technology and Innovation - The intelligent matching technology employs a dual-track approach of "numerical matching + semantic embedding matching," achieving end-to-end precise matching between patients and trial projects [2][3] - The system disaggregates patient information into numerical data (e.g., age, lab results) and clinical information (e.g., medical history), allowing for accurate numerical comparisons and semantic matching [2][3] - The technology has demonstrated a matching accuracy rate exceeding 92% and has improved recruitment efficiency by over 300%, reducing matching time from days to minutes [3] Group 2: Market Impact and Applications - The technology is expected to save pharmaceutical companies significant time and labor costs in patient recruitment while providing eligible patients with access to quality clinical trial resources [3][4] - The technology has been piloted in multiple top-tier hospitals and pharmaceutical companies, successfully matching nearly 1,000 patients and helping clinical trial projects meet recruitment goals 3-6 months ahead of schedule [3][4] - Yifan Pharmaceutical focuses on addressing the industry's challenges of slow recruitment and difficult matching, leveraging Waterdrop's extensive patient base and digital AI capabilities [4]