She turned the impossible into history. Dr. Katie Bouman led the development of an algorithm called CHIRP that helped create ...

Algorithms developed by RIT in collaboration with the National Gallery of Art, and their associated reference data sets, have been optimized using reflectance image cubes collected from early Italian ...

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

The specificity of the Perl-based algorithms was consistently high, over 98%. Very few benign results were classified as malignant or in situ by the Perl-based algorithms; the leukemia algorithm ...

Metron will provide undersea mission autonomy software development and applied research investigation support services for the U.S. Navy under a cost-plus-fixed-fee contract. The company said Thursday ...

Researchers have found a new approach to incorporating the larger web of relevant data for predictive modeling for individual and community health outcomes. In the U.S., the place where one was born, ...

Categorizing patients with cancer by their disease stage can be an important tool when conducting administrative claims-based studies. As claims databases frequently do not capture this information, ...

Digital twins—predictive computer simulations of drug production processes—are only as good as the software from which they are constructed. The key to building them, say researchers, is knowing which ...

SEATTLE--(BUSINESS WIRE)--QuantConnect today announced the winners of its innovative Alpha Five competition, which started in October 2019. The competition was the first-of-its-kind, enabling a ...