System and method for analyzing spectral data using artificial intelligence
An AI-based system addresses the challenges of analyzing complex medical fluid samples by automatically identifying biological molecules, enhancing speed, accuracy, and reducing the need for multiple tests and devices.
WO2025071913A1 Publication Date: 2025-04-03VIONIX BIOSCIENCES INC
5 Cites 0 Cited by
Patent Information
- Application Number
- PCT/US2024/045977
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-09-09
- Filing Date
- 2024-09-10
- Publication Date
- 2025-04-03
AI Technical Summary
Technical Problem
Current spectroscopic analysis techniques struggle with efficiently analyzing complex medical fluid samples containing multiple elements and macromolecules, often requiring multiple tests and devices, which increases time and cost.
Method used
An AI-based system that automatically identifies biological molecules in fluid samples by receiving multi-dimensional training data from spectrometers, developing characteristic profiles, and generating reports on identified molecules based on experimental data.
Benefits of technology
The system significantly improves the speed and accuracy of analyzing medical fluid samples, reducing the need for multiple tests and devices, and providing precise identification of molecules and their concentrations.
✦ Generated by Eureka AI based on patent content.
Abstract
A system provides for an ability to automatically identify one or more chemical components of a sample, especially a biological fluid sample, based on analysis of spectral data by at least one artificial intelligence module. The artificial intelligence module is able to be trained on a plurality of spectral data samples having known concentrations of individual chemicals and elements. The system is preferably used for spectral techniques such as UV / vis and near-infrared (NIR) spectrophotometry, but is also able to be used for other forms of spectroscopic techniques, including mass spectrometry, infrared (IR) spectrometry, X-ray spectroscopy, Raman spectrometry, or nuclear magnetic resonance (NMR) spectrometry.
Need to check novelty before this filing date? Find Prior Art