Revolutionizing Medical Diagnostics with Acoustic AI
Pioneering micro/nano omnidirectional acoustic sensing technology for early disease detection.
Deep Learning for Non-invasive Continuous Glucose Monitoring
Research and Development of wearable devices running hybrid physics and data science models to accurately measure glucose levels
Brief Introduction
SAINTPHAREUX is at the forefront of developing groundbreaking medical sensing technologies. Our interdisciplinary team combines expertise in sensor physics, machine learning, and computational fluid dynamics to create innovative solutions for early disease detection and improved patient care.
Computational Fluid Dynamics for Arterial Blockage Detection
Machine Learning for Medical Applications
Micro/Nano Acoustic Sensing
Early Detection of Vascular Disorders
High-Accuracy, Low-Fidelity Acoustic Sensing for Vaso-Occlusion Detection
Our latest project integrates advanced signal processing with machine learning algorithms to extract high-quality diagnostic information from low-fidelity acoustic data, potentially revolutionizing early detection of vascular disorders.
New Frontiers in Medical Acoustic Sensing
Our team's recent book chapter explores the potential of micro/nano omnidirectional acoustic sensing in transforming early disease detection.
Presentation
Recent conference presentation on acoustic sensing innovations
Collaboration
New collaboration with University of Texas Center for Digital Healthcare Innovation on machine learning applications
Upcoming
Upcoming webinar on the future of medical sensing technologies
Technology Highlight
Bridging Low-Fidelity Sensing and High-Accuracy Diagnostics
Discover how our unique integration of acoustic sensing with computational fluid dynamics models is pushing the boundaries of medical diagnostics.
Explore Our TechnologyCurrent Faculty & Associates
Our goal is to make early disease detection more accessible and accurate than ever before
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