artificial intelligence

A new machine learning model promises fast prediction of drug-target interactions.

Algorithms can now glean ever more molecular and genetic information from images of stained tissue, but some researchers worry that we can’t follow their logic.

Machine learning can be harnessed to synthesize artificial light-bearing enzymes that actually work in cells.

A method appears to be the first to noninvasively reconstruct language from brain activity.

Three prizes were awarded to six researchers working across the life sciences on cellular organization, protein structure, and the genetic underpinnings of a chronic sleep disorder.

Biological robots made from frog cells can replicate by smooshing loose cells into new robots—a reproduction method not seen in any other organism.

Armed with improved imaging techniques and supercomputers, researchers are generating detailed three-dimensional images of cellular structures that anyone can explore.

Pradipta Ghosh has plans to revolutionize the drug discovery pipeline.

The AlphaFold program from AI firm DeepMind has amassed a huge database of protein structures from humans and model organisms.

Automated control of light-responsive nematode worms marks the first foray into the development of multicellular, biorobotic organisms.

The experimental system, developed and tested in just one patient so far, relies on brain signals associated with handwriting to achieve the fastest communication yet seen with BCI.

While machine learning could improve detection of tumors at their earliest stages, it also risks identifying malignancies that would never cause the patient any harm.

Good girl, Florin!

In a proof-of-concept study, researchers used dogs’ diagnoses of prostate cancer to inform a machine learning algorithm with the goal of one day detecting cancers with canine-level accuracy.