A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient’s risk of hepatocellular carcinoma with high accuracy.

The rapid growth of digital markets and the use of artificial intelligence in business decision-making have fundamentally ...

No textbooks, no homework, no teachers. Welcome to the future of education. At least according to Alpha School, a fast-growing network of private academies that claims to be revolutionizing education ...

A new tool makes it possible to screen millions of tiny protein fragments and select those that can be recognized by the ...

Master ultra-high-throughput screening principles. Learn how advanced automation and miniaturization accelerate drug ...

Artificial intelligence has long been seen as a way to supercharge drug development. | Artificial intelligence has long been seen as a way to supercharge drug development. But a whole new frontier of ...

A machine learning model predicts low-density lipoprotein cholesterol from routine lab data, offering a low-cost way to ...

Many agencies that offer AI conversion rate optimization are selling the same playbook they've run for years, just with a ...

Abhirami Harilal, an Indian American applied scientist specializing in machine learning and statistical modeling for ...

Before a child goes into an operating room, a large screen displays a risk score. This score predicts potential complications, provides an estimated time for recovery, and recommends the course of ...