System and Method for Detection of Disease using Machine Learning
Summary
The USPTO has published a new patent application (US20260088169A1) detailing systems and methods for detecting systemic disease from bacterial samples using machine learning. The application, filed by inventors Mark Driscoll and Daniel Fasulo, focuses on correlating microbiome sequence data with disease states or risk.
What changed
This document is a USPTO patent application (US20260088169A1) for a system and method to detect systemic disease using machine learning on bacterial samples. The invention utilizes a high-throughput microbial profiling platform to diagnose disease or identify risk by correlating patient microbiome sequence data with disease states. The application was filed on September 23, 2024.
As this is a patent application, it does not impose direct regulatory obligations on healthcare providers or manufacturers. However, it signals potential future technological advancements in disease diagnostics and risk assessment. Compliance officers in the healthcare and pharmaceutical sectors should be aware of emerging technologies that may impact diagnostic tools, data analysis, and patient risk stratification in the future.
Source document (simplified)
SYSTEM AND METHOD FOR DETECTION OF DISEASE
Application US20260088169A1 Kind: A1 Mar 26, 2026
Inventors
Mark Driscoll, Daniel Fasulo
Abstract
The present invention provides systems and methods for the detection of systemic disease from bacterial content samples obtained from a subject. Also provided are methods of training a machine learning algorithm to correlate patient microbiome sequence data with a disease state or disease development risk. These systems and methods utilize a high-resolution, database-independent, high-throughput microbial profiling platform to diagnose systemic disease in patients or to identify those patients at risk of developing systemic disease. Also provided are systems and kits for carrying out the methods.
CPC Classifications
G16H 50/20 G16B 30/00 G16B 40/20 G16H 10/40 G16H 50/30 G16H 50/70
Filing Date
2024-09-23
Application No.
18445677
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