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AI遇上医疗健康守护如何注入新活力?
Zheng Zhou Ri Bao· 2026-01-05 17:32
Group 1 - The integration of AI in medicine and engineering is accelerating drug development, enhancing clinical precision, and driving innovation in the healthcare industry, providing stronger technological support for public health [1] - The newly launched AI drug development platform "AI Kongming" has shown significant improvements in candidate molecule hit rates and optimization efficiency, achieving several times to tens of times better results compared to traditional processes [2] - AI technologies are increasingly applied across various medical fields, including drug development, medical imaging, disease diagnosis, and health monitoring, demonstrating a broad impact on healthcare [3] Group 2 - Pharmaceutical companies like Shijiazhuang Pharmaceutical Group and Heng Rui Medicine are establishing AI research departments to expedite drug target discovery and clinical trial processes [4] - Platforms for innovation in medical-engineering integration are being developed, such as the Suzhou Industrial Park's platform for transforming innovative results and Haier's health technology innovation platform, aimed at breaking down barriers between data, disciplines, and institutions [5] - National policies are being introduced to promote the deep integration of new information technologies with the pharmaceutical industry, including guidelines that recognize AI-assisted diagnosis as an extension of pathological diagnosis [5]
科学与健康|AI遇上医疗 健康守护如何注入新活力?
Xin Hua She· 2026-01-05 11:28
Group 1 - The integration of AI in healthcare is accelerating drug development, enhancing clinical precision, and driving innovation in the medical industry, providing stronger technological support for public health [1][2] - The AI platform "AI Kongming" has been launched, offering free access to databases related to global health challenges, significantly improving candidate molecule hit rates and optimization efficiency by several times compared to traditional processes [1][2] - AI technologies are increasingly applied across various medical fields, including drug development, medical imaging, disease diagnosis, and health monitoring, showcasing their versatility and potential impact [2][3] Group 2 - Major pharmaceutical companies like Shijiazhuang Pharmaceutical Group and Hengrui Medicine are establishing AI research departments to accelerate drug target discovery and clinical trial processes [3][4] - The establishment of innovation platforms, such as the one in Suzhou Industrial Park, aims to facilitate the transformation of medical and engineering innovations, breaking down barriers between data, disciplines, and institutions [4][5] - National policies are being introduced to promote the integration of new information technologies with the pharmaceutical industry, enhancing the application of AI in clinical settings [4][5]