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.
Armed with improved imaging techniques and supercomputers, researchers are generating detailed three-dimensional images of cellular structures that anyone can explore.
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.
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.
A small study shows artificial intelligence can pick out individuals with coronavirus infections, but ophthalmologists and AI experts say the approach is far from proven to be capable of distinguishing infections with SARS-CoV-2 from other ills.
More than 3,000 researchers have signed on to a petition that expresses concern over the agency’s 2021 application for the funding program, which emphasizes three areas of computational science and might further disadvantage underrepresented groups.