Active Learning AI Mass Spec Analysis Platform

Status
Idea

Mass spectrometry is a powerful tool for diagnosing diseases and discovering biomarkers, but analyzing the data is complicated and often requires expert interpretation. This slows down the process and increases the chance of missing important signs. This team is designing smarter software that can automate the analysis, making it faster, easier, and more accurate for use in real-world medical settings.

2022-011

The Problem

Mass spectrometry is a powerful tool for diagnosing diseases and discovering biomarkers, but analyzing the data is complicated and often requires expert interpretation. This slows down the process and increases the chance of missing important signs. There is a need for smarter software that can automate the analysis, making it faster, easier, and more accurate for use in real-world medical settings.

The Solution

Tulane researchers are developing smart software that uses artificial intelligence to quickly analyze complex lab results. The system helps doctors and scientists find signs of disease or useful biological markers faster than traditional methods, making research and diagnostics more efficient. 

The Opportunity

Healthcare systems will benefit from this intelligent software, which supports diagnostics, decision-making, and streamlined clinical workflows.

Meet the Team

Jia Fan, Ph.D.
Jia Fan, Ph.D.
Assistant Professor

Director, Tulane Proteomic Core Facility
Headshot portrait of Samuel Jativa smiling.
Samuel Jativa
Licensing Officer

 

Contact Us Today

Talk to a Tulane Innovation Institute Program Director to learn more and get connected to the inventor.

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Aileen Dingus

Aileen J. Dingus, MSE

Program Director

adingus1@tulane.edu