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.

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, ...

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 ...

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 ...

Olaparib, Pembrolizumab, and Carboplatin as First-Line Treatment of Recurrent or Metastatic Head and Neck Squamous Cell Carcinoma: A Phase II Trial We built a natural language processing (NLP) ...