Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ.

With this model, researchers may be able to discover antibody drugs capable of targeting a wide range of infectious diseases.

AI was intended to save patients cost in health care. However, experts say it's costlier than expected because humans need to help monitor it.

The Department of Health and Human Services has released its Strategic Plan for the Use of Artificial Intelligence in Health, ...

Just 61% of hospitals surveyed evaluated models for accuracy on their own data, and less than half evaluated the models for ...

In some breaking news this week, Daniela Rus, Director of MIT‘s CSAIL lab and an accomplished computer scientist and educator ...

The partnership integrates AI tools into Hartford HealthCare's clinical workflows to help physicians identify serious conditions faster and make better decisions across multiple departments, including ...

Artificial intelligence (AI) is developing rapidly. In particular, in the area of machine learning (ML), significant progress ...

As 2025 kicks off, UrbanGeekz has rounded up a list of stellar startups that have the potential to accelerate to new heights ...

PostEra, a biotechnology company specializing in machine learning for preclinical drug discovery, today announced an expansion of their partnership with Pfizer. The parties will launch a new Antibody- ...

The health and technology sectors intersected in fresh ways in 2024, marking a transformation largely driven by the increased ...