Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

Introduction Prescribing high-dose antipsychotics is typically reserved for individuals with treatment-resistant severe ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...

Cloud-based platform combines AI and machine learning to perform multivariate analysis, enabling real-time optimization of cell therapy performance and patient outcomes ...

Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...

Machine learning models can spot signs of contamination in cell culture much sooner than traditional approaches.

Low daily step counts predict Parkinson's disease years before diagnosis but are likely a sign of early disease, not a risk ...

Introduction Atrial fibrosis identified on cardiac magnetic resonance (CMR) imaging has been proposed as a preprocedural imaging biomarker for patient selection for rhythm control interventions in ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...