Kingmed Diagnostics(SH:603882) Di Yi Cai Jing·2025-10-12 03:17Core Insights - AI technology has the potential to transform traditional gene testing diagnostic processes [1] - The collaboration between KingMed Diagnostics, Tencent, and Guangzhou Medical University aims to develop a multi-modal AI model for accurate and accessible gene mutation predictions for cancer patients [2][5] Group 1: Traditional Gene Testing Challenges - Traditional tumor gene testing is expensive, with costs ranging from 15,000 to 20,000 yuan, making it unaffordable for many patients [4] - The waiting time for traditional gene testing can take 7 to 14 days, during which patients' conditions may deteriorate, delaying treatment and reducing survival rates [4] - There is a lack of gene testing capabilities in most hospitals outside of top-tier institutions, limiting access for patients [4] Group 2: AI Model Development and Validation - The AI model "DeepGEM" has been developed to predict lung cancer gene mutations using routine tissue pathology images, achieving a prediction accuracy of 78% to 99% within one minute [5] - A larger-scale validation of the DeepGEM model is planned for 2025 in collaboration with KingMed Diagnostics [5] - The partnership aims to expand the model's application in lung cancer gene identification and explore its capabilities in other cancer types [5] Group 3: Future Directions and Goals - KingMed Diagnostics emphasizes the importance of AI in transforming traditional diagnostic processes, providing timely guidance for urgent cases and affordable diagnostic pathways for patients without access to expensive testing [6] - The collaboration aims to create a new paradigm in smart medical testing, with aspirations to extend beyond cancer diagnostics to rare and complex diseases [6]