PanGIA Analysis System, a Novel Machine Learning Platform for Non-Invasive Diagnosis of Multiple Cancers
Year: 2025
Type: article
Abstract: Introduction: The PanGIA Analysis System (PAS) is a dynamic new approach to interrogating complex biological systems. Similar to current language models such as Google Gemini or ChatGPT, PAS is powered by machine learning and trained on biochemical signatures that provide insight into the health state of users. PAS uses proprietary hydrogel arrays, called NuTec Slides, to capture unbiased bio-molecular profiles from a variety of liquid sample matrices. Urine is an oft-neglected bio-fluid that provides a unique opportunity to biopsy a person’s health status.
Source: The Journal of Liquid Biopsy
Authors: Abhignyan Nagesetti, Francis Lim, Nicholas Gonzalez, Miguel Javiel, Pablo Hernandez, Kyle Ambert, Robert Cardwell, Obdulio Piloto
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,080
OpenAlex ID: W4416630657