The process of testing new solar cell technologies has traditionally been slow and costly, requiring multiple steps. Led by a fifth-year PhD student, a Johns Hopkins team has developed a machine ...

The used machine-learning techniques to determine which health and lifestyle factors best predict cognitive performance across the adult lifespan.

This makes it challenging to find capsids that meet multiple criteria. Other groups have used machine learning to expedite large-scale analysis, but most methods optimized proteins for one ...

This makes it challenging to find capsids that meet multiple criteria. Other groups have used machine learning to expedite large-scale analysis, but most methods optimized proteins for one ...

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

scientists explore the utility of machine learning methods in the study of the five most prevalent neurodegenerative diseases, including Alzheimer’s disease, multiple sclerosis, amyotrophic ...

Oxford University researchers have unveiled a new blood test, powered by machine learning, which shows real promise in detecting multiple types of cancer in ... invasive alternative to current ...