Breast cancer is a highly heterogeneous malignancy among women worldwide. Traditional prognostic models relying solely on clinicopathological features offer limited predictive accuracy and lack ...

AI-assisted signal debugging has broad impact across many domains.

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...

IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control.

A machine learning-based model predicts how long it will take an organ donor to die after removing life support, aiding surgeons in deciding whether organs can be successfully transplanted.

To prevent data imbalance, a common problem in environmental modeling where non-flooded areas vastly outnumber flooded points ...

Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...

The opening brief in a first-of-its-kind appeal of an AI copyright infringement case was recently filed, framing the issues that could result in ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.