Artificial intelligence and robotics are revolutionizing drug discovery by automating laboratory processes and enabling rapid ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

"By leveraging machine learning, we can provide a tool that helps policymakers and clinicians make more informed choices, ultimately improving the impact of genomic screening programs." The ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

It's critical that we be thoughtful about which genes and conditions are included in genomic newborn screening programs. By leveraging machine learning, we can provide a tool that helps ...

Researchers in Finland have combined virtual drug screening with machine learning (ML) – carried out on supercomputers – to dramatically shorten the time taken to identify candidate molecules.

"Each project addresses a different challenge associated with operating a large-scale ... of machine learning surrogate models for each radiation detector and used an offline optimization ...

Grammarly incorporates both machine learning and rule-based algorithms into its products ... on an industrial scale, rather than relying on college students in a St. Petersburg office block ...