A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...

An AI-assisted drug discovery platform using transfer learning has identified a promising gp130 inhibitor for colorectal ...

Georgia Tech researchers introduced a groundbreaking machine learning technique to improve the assessment and analysis of declining oxygen levels in the ocean. Using data from Argo floats (pictured) ...

Enhancing prognostic accuracy in lung cancer brain metastases through histopathologic feature integration and AI-based image analysis. Development and validation of an AI model for predicting germline ...

Electric vehicles (EVs) have emerged as a promising trend for future development. Serving as the core energy source for EVs, lithium-ion batteries offer advantages. Accurate SoC estimation is vital ...

Please provide your email address to receive an email when new articles are posted on . Familial hypercholesterolemia is underdiagnosed and undertreated. A novel machine learning algorithm identified ...

Researchers at WashU Medicine and collaborating institutions have developed a novel computational tool that can accurately ...

A report in the Journal of Medical Internet Research shows developments in the evidence gap in drug safety during pregnancy ...

Using data from historic ship measurements and Argo floats, researchers introduced a machine learning technique that improves assessment and analysis of the ocean's declining oxygen levels. Oxygen is ...