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 ...

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

CorVista Health, a leader in noninvasive cardiovascular diagnostics, today announced new data evaluating a physiologic signal–based machine-learning model for detecting cardiac ischemia. The data was ...

Single-cell imaging and machine learning reveal hidden coordination in algae's response to light stress

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

Unlocking Data Science Potential Understanding Machine Learning and Data Analysis with JupyterLab

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...
Chromatography Online

Real-Time Pork Breed and Boar Taint Classification Using REIMS

A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...