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 ...

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise ...

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 ...

Crypto markets generate more usable data than almost any other financial sector. Prices move at all hours, blockchain activity is visible as ...

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 ...

Machine learning is changing the front end of drug discovery, where researchers decide which targets to pursue and which molecules deserve costly laboratory work. Its deeper test lies further ...