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 ...

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 ...
Technology Networks

Machine Learning Model Predicts Liver Cancer Risk Using Routine Clinical Data

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
Medindia on MSN

Can liquid biopsy transform liver disease detection?

India, April 2 -- A new study published in Science Translational Medicine highlights how a simple blood test could reveal ...
Devdiscourse

Quantum vs classical AI: Traditional models still lead in phishing detection

Quantum machine learning is being explored as the next frontier in cybersecurity, but new research shows it remains far from replacing established artificial intelligence systems in detecting phishing ...

Janmejaya Mishra’s Work Highlights The Expanding Role Of AI And Machine Learning In Predictive Intelligence Systems

Principal Developer Janmejaya Mishra explores how AI and machine learning are advancing predictive intelligence systems ...

CorVista Health to Present New Data on Non-Invasive Point of Care Test for Ischemia with Non-Obstructive Coronary Arteries Using Machine Learning at ACC.26

CorVista Health today announced the upcoming poster presentation of new data on its non-invasive point of care test for ...
TechCrunch

Financial firms should leverage machine learning to make anomaly detection easier

Anomaly detection is one of the more difficult and underserved operational areas in the asset-servicing sector of financial institutions. Broadly speaking, a true anomaly is one that deviates from the ...