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Recently, Stanford University released a comprehensive evaluation of clinical medical AI models. DeepSeek R1 stood out as the champion among nine leading large models, achieving a 66% win rate and a macro average score of 0.75. The highlight of this evaluation is that it not only focuses on traditional medical license exam questions but also delves into the daily work scenarios of clinical doctors, providing more practical assessments. The evaluation team developed an integrated assessment framework called MedHELM, which includes 35 benchmarks covering 22 subtasks in medicine.

Today, on the second anniversary of Baichuan Intelligent's founding, the company's founder and CEO Wang Xiaochuan released an all-staff letter, reviewing the past two years' achievements and shortcomings, and clarifying the company's current and future development direction. Wang Xiaochuan emphasized that Baichuan Intelligent will firmly pursue its technological vision and business direction in the medical field, promoting the deep application of AI technology in the medical industry through the path of "creating doctors - changing paths - promoting medicine".

A medical team at Ningbo University Affiliated People's Hospital recently used artificial intelligence to successfully detect early-stage pancreatic cancer in a seemingly routine case. 65-year-old Mr. Qiu visited the hospital due to dizziness for three consecutive days. While routine examinations revealed no abnormalities, the AI system, through in-depth analysis of his imaging data, issued a timely alert indicating a potential risk of pancreatic cancer. This case utilized a "Plain CT Scan + AI" approach, a cutting-edge technology that...

Insilico Medicine, a biopharmaceutical company focused on generative artificial intelligence, today announced the successful completion of a $110 million Series E financing round. The round was led by a private equity fund under Value Partners Group (HKG:0806), Pudong New Area Investment, Shanghai Pudong Development Bank Group, Xicheng Capital, and Yixing Guokong. Several new investors focused on the industry and technology sectors also participated, alongside continued support from existing investors.

Insilico Medicine recently announced the closing of a $110 million Series E financing round, led by Value Partners, a Hong Kong-based firm, with participation from existing and new investors. The funds will be used to refine the company's AI models and support pivotal clinical trials for its lead candidate drug in idiopathic pulmonary fibrosis. The company's small molecule inhibitor, ISM001-055, was recently officially named rentosertib by the U.S. Adopted Names Council, marking a significant milestone for this AI-generated drug candidate.

A German research team has developed and released FIORA, an open-source graph neural network (GNN) model designed to improve the accuracy of mass spectrometry analysis. This advancement is expected to significantly contribute to the progress of precision medicine.

A significant advancement in Chinese medicine has been achieved with the recent clinical deployment of "Xiehe-Taichu," a rare disease AI model jointly developed by Peking Union Medical College Hospital and the Institute of Automation, Chinese Academy of Sciences. This marks a breakthrough in China's rare disease diagnostic technology and provides a new tool for improving clinical efficiency. The development of this AI model benefits from years of accumulated knowledge on rare diseases in China and the support of genetic testing data from the Chinese population. As the world's first rare disease model tailored to the characteristics of the Chinese population, it...

The Qichacha APP shows that on February 10, Shandong University of Traditional Chinese Medicine released a correction announcement for the smart course construction project (3008), stating that for packages 1, 2, and 3, the project requirements and technical specifications have added "Integration Requirement Importance: General; Technical Specifications: Ability to integrate with DeepSeek model." The budget for package 1 is 2 million yuan, for package 2 is 800,000 yuan, and for package 3 is 1.4 million yuan.

In the healthcare sector, the combination of artificial intelligence (AI) and genomics has reached an exciting new milestone. Recently, Cerebras Corporation partnered with Mayo Clinic to unveil a revolutionary genomic foundation model at the JP Morgan Healthcare Conference in San Francisco. This model aims to leverage advanced AI technology and high-performance computing (HPC) to drive advancements in genomics, particularly in personalized medicine. The new genomic model focuses on improving diagnostic accuracy and personalized treatment options, with preliminary applications in

SoftBank Group has partnered with Tempus AI to create a new joint venture aimed at utilizing artificial intelligence (AI) to analyze personal medical data and provide treatment recommendations. SoftBank Group CEO Masayoshi Son announced the news at a press conference in Tokyo.

Through deep learning, researchers at MIT have successfully discovered a new type of antibiotic that effectively combats drug-resistant bacteria, which cause more than 10,000 deaths annually. The application of artificial intelligence in the medical field is gaining increasing attention, and MIT's research provides an efficient and resource-effective framework for drug development. Researchers have shared their findings with the startup Phare Bio, planning further data analysis to search for compounds that can kill other bacteria. This study offers mechanical insights into the application of deep learning in antibiotic development and provides a new approach to addressing the problem of antibiotic resistance.

With a surge in global breast cancer cases, early detection is vital. A study by the University of Nottingham compared the accuracy of AI and doctors in interpreting breast X-rays. The commercial AI Lunit performed comparably to human physicians, offering new insights for clinical practice. Breast cancer rates are high, but early intervention can improve survival rates. The results of AI screening for breast X-rays provide strong support for AI in the medical field.