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, ...

AI bias is an anomaly in the output of machine learning algorithms. These could be due to the prejudiced assumptions made during the algorithm development process or prejudices in the training data.

AI ethics is a sub-field of applied ethics, focusing on the ethical issues raised by the development, deployment and use of AI. Its central concern is to identify how AI can advance or raise concerns ...

Algorithms are incredible aids for making data-driven, efficient decisions. And as more industries uncover their predictive power, companies are increasingly turning to algorithms to make objective ...

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 ...

The in silico approach to drug development just got a taste of validation, thanks to some intriguing new research from University of San Francisco, California. A drug cherry-picked with algorithms has ...

A stepwise, evidence-based algorithm for initiating, advancing, and maintaining EN in critically ill children was developed using a multidisciplinary consensus approach. A full description of the ...

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 ...