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 ...

Doctors have long known that sleep is essential for good health, but for millions of people, sleep is not as simple as it ...

Enterprise AI startup Kumo is making the case that the next phase of enterprise AI will be shaped by structured and ...

Researchers say a new AI system can identify disease-causing mutations and explain their biological effects, potentially ...

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

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 ...

One new addition to the toolbox is called Google DeepMind (GDMI), a suite of AI-powered weather models introduced in June ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

AI systems are "trained" using massive datasets, and the quality of this data determines the model's performance. AI can ...

AI-driven interventions reduce the odds of hospitalization within 7 days by 8% in patients with end-stage kidney disease receiving hemodialysis, according to a recent study.

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...