To delineate the metastatic microenvironment,, researchers in China have developed an explainable machine learning ... model's predictions, thus enhancing its interpretability and helping clinicians ...

Floods are some of the most devastating natural disasters communities in the United States face, causing billions of dollars ...

A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...

Objective Long-term azithromycin treatment effectively prevents acute exacerbations of chronic obstructive pulmonary disease ...

The existing dementia risk models are limited to known risk factors and traditional statistical methods. We aimed to employ machine learning (ML) to develop a novel dementia prediction model by ...

Cancer researchers have a multitude of tools to study tumors. Histological staining uses dyes to make different kinds of tissue cells visible in microscopic slide images. CT scans can pinpoint the ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

LCGC International interviewed Bob Pirok from the University of Amsterdam, Netherlands to discuss strategies for enhancing ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.