Applying machine learning to genome-wide association and electronic health record data may usher in a new era of precision in ...

A novel machine learning algorithm has potential to improve detection and treatment of individuals with familial ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

A current approach uses classical machine learning (CML) algorithms, but they require large datasets, and their performance degrades in small-sample, nonlinear settings. The Australian researchers, ...

Machine learning models using step count data of the two preceding weeks were able to predict hospitalization in the upcoming week for patients during systemic therapy, but not other adverse events.

Layer Health is building a core platform for AI chart review. Its algorithms can abstract structured and unstructured patient data to understand the type of care a patient received and their ...

An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.

The set-up features a quantum photonic circuit built at the Politecnico di Milano (Italy), which runs a machine learning algorithm first proposed by researchers working at Quantinuum (United Kingdom).

CHAI certified its first partnership for AI model validation after a 16-month effort to get a nationwide network of AI assurance labs up and running.

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data.

In this work, we demonstrate the machine learning-driven optimization of a photoredox tertiary amine synthesis with six continuous variables (e.g., concentration, temperature, residence time) and ...

Q&A Predicting the Future Using Azure Machine Learning By David Ramel 05/13/2025 The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach ...