近日，由国际著名学术出版机构Elsevier和中国科学出版社联合出版的学术专著 《Machine Learning in the Analysis of Deformation, Fatigue and Fracture in Solids》 正式发布。该书 由西南交通大学康国政教授团队（康国政、阚前华、张旭、胡雅楠、李翔宇等）在国家自然科学基金重大项目（12192210; ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Automatic for the People: What Has Machine Learning Analysis of Positron Emission Tomography Left for the Physician? The following represents disclosure information provided by authors of this ...

Yokogawa’s high-content analysis software combines machine learning, 3D image analysis, and label-free imaging to deliver ...

SANTA CLARA, CA, Feb. 12, 2026 (GLOBE NEWSWIRE) -- SANTA CLARA, CA - February 12, 2026 - - ...

Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of ...

Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility ...