Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

A research team led by Prof. Li Hai from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has ...

The CAC-DAD score will need to be externally validated in lower risk patients before it can be used clinically, several ...

From a long-term investment strategy perspective, the study found that bitcoin maintains more stable portfolio weight ratios ...

Endoscopic spine patients were less likely to need readmission 30 days after surgery compared to traditional methods, according to a first-of-its-kind study published in the May 2025 issue of The ...

Research data and fraud prevention business Rep Data has launched a machine learning-led anti-survey fraud tool.

Researchers develop an AI model that uses ECG data to predict the risk for adverse vascular events in patients with migraine.

Autism spectrum disorder (ASD), a neurodevelopmental condition, is often associated with difficulties in social communication ...

In this article, a temperature drift compensation method based on a multivariate temperature field is proposed to fill this gap. Combining the theoretical basis of FOG and the structure of a ...

The shares of VLUE are also leading the S&P 500 index by over 400 bps YTD, and are the second-best performing factor over the past month behind High Beta. While its weekly RS-Ratio rotated into the ...

The first prediction tool of its kind for early-stage classic Hodgkin lymphoma provides estimates using continuous variables capturing nonlinear context.