Lumo leverages advanced machine learning to reduce calibration time, and flag low-confidence response factor predictions.

A novel electronic health record-based prediction model successfully identified patients who were at the highest risk of developing type 2 diabetes up to 10 years later. Researchers presented the ...

Guest column: For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency is the same. Carissa Véliz is an associate professor at the ...

Researchers at MUSC Hollings Cancer Center have developed a machine learning tool to identify cancer patients who may be at high risk for financial toxicity—the financial stress and hardship that can ...

People are exposed to thousands of chemicals every day—through the products they use, the food they eat and the environments they live in—but only a fraction of those chemicals have been fully tested ...

"These speculative topics align with Virdee’s previous focus areas and the current trends in media and technology, offering plausible directions for his 2024 prediction." ...

Machine learning method maps the uncertainty of biodiversity scenarios: The Bigfoot connection ...