Agentic AI solves these complexities via multi-agent orchestration. Instead of using a monolithic system to do everything, multi-agent architecture decomposes functionality into specialized agents ...

The efficiencies and insights offered by artificial intelligence (AI), machine learning (ML), predictive analytics, and other emerging technologies present abundant opportunities for laboratories. A ...

Do you worry your clinical laboratory is falling behind in the race to adopt artificial intelligence (AI) technologies? Every day, labs are inundated with media and marketing messages about artificial ...

Artificial intelligence is rapidly learning to autonomously design and run biological experiments, but the systems intended to govern those capabilities are struggling to keep pace. This is ...

(Bloomberg) -- Nvidia Corp. plans to invest $1 billion over five years in a new laboratory with Eli Lilly & Co., aiming to speed up the use of artificial intelligence in the pharmaceutical industry.

Researchers from Seoul National University Hospital and Harvard Medical School have unveiled the world's first virtual ...

“In labs around the world, scientific teams are applying the software-as-a-service model to generate more data than ever before. And while that data has enormous potential to drive innovation, it’s ...

Forbes contributors publish independent expert analyses and insights. Sai writes about healthcare, innovation and technology. Nevertheless, the technology has since evolved far beyond just passing ...

A new AI-powered chip from UC Davis can analyze light and chemicals using a device tiny enough to fit almost anywhere. By combining smart silicon sensors with machine learning, it achieves lab-style ...