Identify under-and un-diagnosed MASH patients with deep clinical data and advanced AI


Identification of both probable and confirmed non-alcoholic fatty liver disease (NAFLD) and MASH* (metabolic dysfunction-associated steatohepatitis) is hampered by asymptomatic disease, under-diagnosis in routine care, lack of condition-specific treatments and poor billing code specificity.

*Formerly known as NASH


Leveraging deep clinical data on millions of patients, OM1:

  • Used AI to identify patients who were fast progressors from NAFLD to MASH
  • Developed AI algorithms to automatically learn the characteristics of confirmed MASH cases
  • Characterized the likelihood that a patient who is not a confirmed MASH patient is in fact a MASH patient and apply it to a sample database of over 44 million at risk patients

Key Takeaways

  • The OM1 MASH Score is a highly predictive score that indicates the probability that a patient has MASH.
  • Our score can help identify large populations of under-diagnosed patients with high confidence.
  • This approach can potentially be the foundation for early detection to a large number of under-diagnosed and/
    or poorly coded conditions using AI.