Cerebrospinal Fluid-Based Traumatic Brain Injury Diagnostic Enabled by PanGIA Analysis System, a Novel Machine Learning Platform for Biomolecular Pattern Recognition
Year: 2025
Type: article
Abstract: Introduction: The PanGIA Analysis System (PAS) is a novel, machine learning-based approach to interrogate complex biological systems by training on bio-molecular signatures of individuals. These signatures are achieved by incubating a sample with proprietary hydrogel arrays (called Nutec Slides), designed to generate colorimetric signal from chemical analytes captured from a variety of liquid sample matrices based on their chemical and physical properties. Traumatic Brain Injury (TBI) is a leading cause of cognitive and behavioral deficits, disability, and death worldwide, as a result from mechanical forces applied to the brain during head impacts and motor vehicle crashes.
Source: The Journal of Liquid Biopsy
Authors: Francis Lim, Abhignyan Nagesetti, Nicholas Gonzalez, Miguel Javiel, Pablo Hernandez, Kyle Ambert, Robert Cardwell, Obdulio Piloto
Language: English
Subfield: Clinical Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,080
OpenAlex ID: W4416630897