KingMed Diagnostics Co-releases DeepGEM 2.0, a Multimodal AI Model for Lung Cancer Pathology Genomics

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On October 10, the AI-Empowered Precision Diagnosis and Treatment of Lung Cancer Summit Forum and the launch ceremony for the National Respiratory Medicine Center's Lung Cancer Precision Diagnosis and Treatment Standardization Project, hosted by the National Respiratory Medicine Center of the First Affiliated Hospital of Guangzhou Medical University and the Guangdong Provincial Chest Disease Society, and organized by KingMed Diagnostics, was held in Guangzhou. At the event, DeepGEM 2.0, a multimodal AI model for lung cancer pathology genomics jointly developed by the First Affiliated Hospital of Guangzhou Medical University and KingMed Diagnostics, was officially released. A multicenter research project involving 50 medical institutions nationwide was also launched, marking the model's formal entry into large-scale clinical validation. According to Dr. Liu Si, head of KingMed Diagnostics' artificial intelligence division, DeepGEM 2.0 analyzes routine digital pathology slide images without requiring additional sampling and can deliver results in as little as one minute. Building on the original six genes—EGFR, KRAS, ALK, ROS1, TP53, and LRP1B—it adds BRAF, ERBB2, FGFR, MET, NTRK, and RET, bringing the total to 12 genes and achieving full coverage of genes corresponding to approved targeted therapies for lung cancer in China. The model will subsequently be deployed in a lightweight form at more than 500 medical institutions. Using an approach of AI-based initial screening combined with targeted validation of specific genes, it is expected to reduce the cost of lung cancer genetic testing to the range of several hundred yuan. Zhong Nanshan, an academician of the Chinese Academy of Engineering and director of the Guangzhou National Laboratory, said that in the new AI era, scientific research must aim high while serving the people. In 2025, the First Affiliated Hospital of Guangzhou Medical University, together with KingMed Diagnostics and Tencent, released DeepGEM, a multimodal pathology genomics model capable of identifying genes from images. After nearly a year of multicenter data validation and clinical refinement, and iterative optimization using nearly 8,000 digital pathology slides from 31 provinces across China provided by KingMed Diagnostics, it has been upgraded to version 2.0. Liang Yaoming, chairman and CEO of KingMed Diagnostics, said that AI pathology technology brings new opportunities to narrow regional disparities in diagnosis and treatment and to reduce costs while improving efficiency. KingMed Diagnostics will leverage the network advantages of its nationwide intelligent medical diagnostic service platform to bring innovative pathology AI technology to primary-level healthcare.

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