Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

That’s when we learn to associate one thing with another thing, like the ringing of a bell with food, in the famous example of Pavlov’s dog. The more times we experience the stimulus and the reward, ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average diagnosis time?

Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

A machine learning model predicted cardiac tamponade during AF ablation with high accuracy. Learn how XGBoost may improve risk stratification.

A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.