A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient’s risk of hepatocellular carcinoma (HCC), the most common ...

Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how ...

Based on this trend, ConfluxCapital has launched a fully automated AI trading platform designed to lower the barrier to entry in the cryptocurrency market. Users require no experience and no ...

A new study shows that deep learning can accurately predict the impact of environmental regulations before they are implemented, outperforming traditional expert models. Applied to the Clean Water Act ...

Traders are showing signs of increased speculative appetite for Ethereum, but what do machine learning algorithms think about its momentum?

Attorneys at Haynes Boone survey recent litigation, agency activity, and legislative trends shaping antitrust risk for users and vendors of pricing algorithms and offer practical steps to reduce legal ...

Machine learning algorithm predicts Bitcoin price for April 1, 2026, as the asset navigates volatility amid geopolitical uncertainty.

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...