DNA methylation data can be used to estimate biological age, but results across commercial tests differ, raising questions ...

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...

What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

A new agentic AI application aims to speed up drug development, helping bring new medical treatments to patients faster.

Alumna, author and machine learning expert Vivienne Ming explains why the best defense against AI's downsides is investing in ...

Wind and solar power have grown faster than almost anyone predicted, but projecting their future expansion remains ...

Recent advances in de novo protein design are transforming biology into an increasingly generative discipline. Fueled by progress in machine learning, we can now generate novel proteins in silico with ...

CU Anschutz researcher Michael A. David, PhD, is turning to a subset of AI to enhance the field of orthopedics and helping others do the same.

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Forecasters tracking tropical cyclones around the world have gotten a huge boost from Google DeepMind ...

Abstract: Predicting students' academic achievement is a difficult and challenging task, especially with the advancement of machine learning technology. However, despite the belief that learning ...