TMCnet

Machine Learning Advances in Predictive Cyber Threat Detection

Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...
EurekAlert!

Attention detection using EEG signals and machine learning: A review

An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...
InvestorsHub on MSN

Broadcom introduces AI-driven fraud detection tool for payment authentication

Broadcom Inc. (NASDAQ:AVGO) has launched Arcot Smart Ruleset, a machine learning–based fraud detection platform designed to ...

CorVista Health Demonstrates High-Sensitivity for Noninvasive Detection of CAD including INOCA (Ischemia with No Obstructed Coronary Arteries) at ACC.26

Machine-learning physiologic signal model achieved 90% sensitivity and 99% negative predictive value for ischemia detection in symptomatic patients The model showed strong sensitivity in both ...

PanGIA Biotech Announces Peer-Reviewed Study in Diagnostics Showing 97.8% Sensitivity in Detecting Prostate Cancer Using a Urine-Based Liquid Biopsy with Machine Learning

PanGIA Biotech, Inc. ("PanGIA") announced a peer-reviewed clinical study published in Diagnostics, "Urine-Based Machine Learning Assay Detects Prostate Cancer," (1) demonstrating clinical validation ...
Frontiers

AI & Machine Learning in the Diagnosis and Care of Head and Neck Cancers

Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...