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 ...

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

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 ...

"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." ...