In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...

New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more personalized vaccines, including vaccines for cancer. They described the tool in ...

Explore the capabilities of a new AI tool that revolutionizes drug discovery by speeding up molecule formation and reducing ...

A research team has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease. Scientists used their tool, named Merlin, to assess 3D ...

However, a decision taken by the company earlier in 2024 underlined how researchers in sectors like drug discovery see the importance of the tool by triggering the creation of multiple workalikes ...

Discover how AI startups are driving rapid AI industry disruption across healthcare, finance, marketing, and more—redefining innovation, efficiency, and the future of global industries.

Applying artificial intelligence techniques to cardiac ultrasound data may make it easier to identify patients with advanced heart failure, a new study has found. The study—led by investigators at ...