The AI also identified features relevant to cancer prognosis that were not previously noted by pathologists, leading to a higher accuracy of prostate cancer recurrence compared to pathologist-based diagnosis

Researchers wanted to understand the types of conversations that people have around serious illness, to identify the common features they have

Self-learning microscopy opens new horizons in high-content analysis and advances phenotypic screening

Model registers “surprise” when objects in a scene do something unexpected, which could be used to build smarter AI

Computerized image analysis could lessen barriers to placental analysis and improve health outcomes for mother and child

A recent study’s findings could be used to develop AI techniques that can identify multiple types of fake news, which will better reflect the real-world news environment

ORNL's Dan Jacobson and team design algorithms for climate-resilient crops

Previous biofoundry efforts have produced a wide variety of products such as chemicals, fuels, and engineered cells and proteins, but those studies were not performed in a fully automated manner

Generates repeatable, high-quality semiconductor analysis to accelerate device development and maximize yields