Algorithmic Screening for Liver Cirrhosis

An algorithm that helps predict the risk of developing liver cirrhosis through a blood test.

 

The non-invasive tests available today suffer from low accuracy making them suboptimal for screening the general population. A more accurate screening methodology is needed to direct high-risk individuals to clinical follow-ups. Nationwide EHR presents an opportunity to identify such patients and pave the way to earlier cirrhosis diagnosis.

Inventors

Prof. Ziv Neeman, HaEmek Medicl Center
Dr. Rawi Hazzan, HaEmek Medicl Center

Contact info

Avital Pritz, Director of Medical Devices and Digital Health

For further information please contact:

avital@mor-research.com

To develop a screening software based on blood tests for early prediction of high-risk individuals susceptible to developing NASH/NAFLD

One of the obstacles in drug development for NASH/NAFLD is late diagnosis. This technology/method would help identify the relevant sub-population that could most benefit from it.

POC was completed with 80% prediction rate, article being published

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