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金域医学:联合腾讯、广医附一院开发病理基因多模态大模型

Core Insights - The collaboration between Kingmed Medical, Tencent, and Guangzhou Medical University First Affiliated Hospital aims to develop the AI model DeepGEM for predicting gene mutations in cancer patients using routine pathological images [1][5][6] - DeepGEM has demonstrated a high accuracy rate of 78% to 99% in predicting common lung cancer driver gene mutations, significantly improving the efficiency and accessibility of genetic diagnostics [2][4] Group 1: Development and Technology - DeepGEM is developed by a collaboration between Guangzhou Medical University First Affiliated Hospital, Guangzhou Respiratory Health Research Institute, and Tencent, marking a significant advancement from traditional pathology to genetic insights [1][3] - The model utilizes innovative techniques such as Multiple Instance Learning (MIL) and an end-to-end architecture that enhances prediction accuracy without the need for manual tumor region annotation [3][4] Group 2: Clinical Application and Validation - Kingmed Medical is providing a large-scale dataset for validating DeepGEM, with over 15,000 NGS tests conducted annually and a sample size of 4,260 lung cancer patients across various medical institutions [4][5] - The model has reached clinical auxiliary diagnostic levels for identifying mutations in genes like EGFR, KRAS, and ALK, showcasing its robustness and compatibility for clinical use [4][6] Group 3: Future Prospects and Expansion - The partnership aims to expand the application of DeepGEM beyond lung cancer to other cancer types, integrating various omics data for a comprehensive diagnostic approach [5][6] - The collaboration is seen as a milestone in the exploration of AI-driven pathology-genetics models, with aspirations to enhance the efficiency of clinical research and diagnostics in both cancer and rare diseases [6]