Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...

Ad fraud is no longer a fringe issue. It is a systemic threat to digital advertising, and its scale demands a technological ...

Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

This new model combines elements of the traditional models with newer machine-learning techniques that automatically learns the state of a river's watershed from observed data. This eliminates the ...

While satellite navigation has become an essential part of modern life, it still struggles to work reliably indoors and in ...

Designed for insurers, asset managers, pension funds, and other long-term investors. In a world defined by volatility, persistent macro uncertainty and ever more complex investor objectives, ...

In most boardrooms, the final decision still comes down to a small circle of leaders weighing a narrow set of choices. Yet the problems they face now contain thousands, sometimes millions, of possible ...

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...

MLIP calculations successfully identify suitable dopants for a novel photocatalytic material, report researchers from the ...

At Pittcon 2026 in San Antonio, Texas, the LCGC International Awards Session was held on Tuesday, March 10, from 1:30 PM to 4:40 PM. This session, presided by Jerome Workman, Jr., celebrated two ...

Discover how AI healthcare technology and machine learning diagnosis are transforming disease detection, improving accuracy, and reshaping patient care in today's evolving medical landscape.