Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...

The future of conflict prediction relies on combining technical ability, institutional governance and ethical responsibility.

Despite data gaps in many countries, the burden of sickle cell disease, especially in west and central Africa, underscores ...

BACKGROUND: Cardiovascular-kidney-metabolic (CKM) syndrome is a recently proposed framework emphasizing the interconnected ...

This important paper substantially advances our understanding of how Molidustat may work, beyond its canonical role, by identifying its therapeutic targets in cancer. This study presents a compelling ...

AI doesn’t really “think.” Rather, it remembers how we thought together. And we’re about to stop giving it anything worth ...

From stock markets to weather predictions, time series forecasting is undergoing a transformation with AI and hybrid models. By blending classical statistical approaches with deep learning, ...

Background Native aortic valve endocarditis continues to present significant operative challenges, often complicated by heart ...

Tim Smith has 20+ years of experience in the financial services industry, both as a writer and as a trader. Yarilet Perez is an experienced multimedia journalist and fact-checker with a Master of ...