Recent years have witnessed the transformative impact from the integration of artificial
intelligence with organic and polymer synthesis. This synergy offers innovative and …

The findable, accessible, interoperable, and reusable (FAIR) data principles provide a
framework for examining, evaluating, and improving how data is shared to facilitate scientific …

Liquid formulations are ubiquitous yet have lengthy product development cycles owing to
the complex physical interactions between ingredients making it difficult to tune formulations …

The materials research community is increasingly using automation and artificial intelligence
(AI) to accelerate research and development. A materials acceleration platform (MAP) …

A note from the Editor-in-Chief: We are pleased to present to readers of Clinical
Orthopaedics and Related Research® the latest “Value-based Healthcare” column (formerly …

Scientists are adopting new approaches to scale up their activities and goals. Progress in
neurotechnologies, artificial intelligence, automation, and tools for collaboration promises …

A growing volume of evidence marks the potential of Artificial Intelligence (AI) in medicine, in
improving diagnostic accuracy, clinical decision support, risk/event prediction, drug …

Cross-silo privacy-preserving federated learning (PPFL) is a powerful tool to collaboratively
train robust and generalized machine learning (ML) models without sharing sensitive (eg …

Simple Summary High-resolution anoscopy (HRA) is crucial for spotting and treating early
signs of anal cancer. The researchers created an artificial intelligence (AI) system to analyze …

The combination of machine learning and organizational psychology has led to innovative
methods to address the diversity-validity dilemma in personnel selection, which is the …