Because they learn as they go, machine learning models for drug discovery have to be continuously re-trained for changing conditions in drug production processes.

The system hit 88% accuracy at optimizing stimulation settings, as confirmed by brain-response patterns on neuroimaging as well as visibly observable symptom improvement in patients with Parkinson’s disease.

The team’s algorithm was trained, validated and tested with data from a total of more than 2.1 million patients.

The Plantation, Florida, imaging center operator declined to disclose its partner's name for "strategic reasons." 

These microdiamonds can be detected simultaneously via optical and radiofrequency imaging methods, opening up a number of new possibilities.

Bioengineers have developed a brain-computer interface that replicates the sense of touch, allowing a robotic arm and hand to not only receive command signals from the brain but also send back signals of stimulation.

Researchers applied the deep learning-based process to MRI, CT and SPECT images, sharing their methods in the International Journal of Cognitive Computing in Engineering.

The profession of nursing is something of a sleeping giant within the global village of healthcare AI, according to an interdisciplinary collaborative of healthcare workers from North America and Europe.