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, ...

BROOKLYN, New York, Thursday, July 29, 2021 – In the U.S., the place where one was born, one’s social and economic background, the neighborhoods in which one spends one’s formative years, and where ...

The optimisation of process planning has emerged as a pivotal aspect of modern manufacturing, where genetic algorithms (GAs) and hybrid techniques are leveraged to address the combinatorial complexity ...

A new theory could bring a way to make quantum algorithm development less of an accidental process, say scientists. In 2019, Google claimed it was the first to demonstrate a quantum computer ...

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 ...

Deep-Transfer-Learning–Based Natural Language Processing of Serial Free-Text Computed Tomography Reports for Predicting Survival of Patients With Pancreatic Cancer The first approach led to a ...

Obtaining Knowledge in Pathology Reports Through a Natural Language Processing Approach With Classification, Named-Entity Recognition, and Relation-Extraction Heuristics We retrospectively analyzed BC ...

Gathering information on manual surveillance and clinical practices related to surgical site infections, or SSIs, can lead to the development of algorithms for semiautomated surveillance of these ...