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

The predictive analytics market within the banking sector has been witnessing substantial growth in recent years, fueled by the increasing adoption of data-driven decision-making processes and the ...

The leaders who define this era won’t be those who rush into AI but those who build it with wisdom, discipline and maturity.

It’s useful to think of our engagement with algorithms as a social contract. Political theorists have long used the social contract as a device to explain why individuals submit to the authority of a ...

AI tools fail in healthcare settings because they weren't designed for the practical needs and complexity of healthcare—but ...

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

Explore big themes healthcare heading into 2026 with AI governance, data quality, and predictive models driving measurable clinical impact.

Elsewhere in Latin America there are similar efforts to close the gender gap through AI. Jamila Venturini is co-executive director of Derechos Digitales, a non-profit organisation founded in Chile ...

St. Louis and Toronto meet tonight in a tightly matched NHL showdown, with projections calling for a close contest and strong offensive potential at Scotiabank Arena. Here’s the latest analysis, odds, ...

A study was conducted to examine the predictive performance of an AI ECG algorithm for identifying occlusive myocardial infarction.