Chady Meroueh, M.D.

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SUMMARY

Chady Meroueh, M.D., is a gastrointestinal and liver pathologist. Dr. Meroueh's research integrates machine learning and spatial transcriptomics to advance diagnostic and prognostic tools for patients with liver disease. He studies alcohol-associated liver disease and metabolic dysfunction-associated steatotic liver disease. His research also includes metabolic syndrome-associated liver disease linked to alcohol use. Using whole-slide imaging, artificial intelligence (AI) and spatial biology, Dr. Meroueh aims to improve diagnostic accuracy, define zonal injury pathways and develop multimodal prognostic algorithms. His work addresses gaps in precision medicine for steatohepatitis and related conditions, supporting personalized patient care.

Focus areas

• Machine learning for liver pathology. Dr. Meroueh develops algorithms to classify alcohol-associated liver disease, metabolic dysfunction-associated steatotic liver disease and metabolic syndrome-associated liver disease linked to alcohol use from whole-slide images. These tools quantify key histological features, such as steatosis, ballooning, inflammation and fibrosis. They also predict disease severity using morphometric analysis aligned with established scoring systems.
• Spatial transcriptomics in liver disease. Dr. Meroueh applies spatially resolved transcriptomic profiling to identify zonal injury pathways and molecular signatures unique to metabolic syndrome-associated liver disease linked to alcohol use. His work uncovers how gene expression patterns vary across different liver zones and stages of fibrosis, providing insights into disease mechanisms.
• Multimodal prognostic modeling. Dr. Meroueh aims to integrate machine learning-derived histologic features, spatial transcriptomic data and clinical metadata to create a first-in-class prognostic scoring system. His multimodal approach aims to predict outcomes and guide individualized treatment strategies for steatohepatitis.
• Digital pathology and informatics innovation. Dr. Meroueh advances digital pathology through AI-driven image analysis and graph neural networks to identify histopathologic predictors of disease progression. His work enhances diagnostic workflows and supports precision medicine initiatives.

Significance to patient care

Dr. Meroueh's research helps improve patient care by making liver disease findings more accurate and personalized. Medical teams can give better treatment when they can clearly tell apart different liver conditions. By using AI and cell-level tests, Dr. Meroueh's work helps care teams find the type and severity of disease faster and better predict how it may develop. This helps patients get the right treatment sooner and lowers the chance of serious complications. It also can improve survival.

Professional highlights

• National Institutes of Health:
  • Principal investigator, Multimodal Approach for Diagnosis and Prognosis of Metabolic and Alcohol-Associated Steatotic Liver Diseases, National Institute on Alcohol Abuse and Alcoholism, 2025-2030.
  • Principal investigator, Spatial Transcriptomics and Artificial Intelligence-Driven Analysis in Metabolic Syndrome-Associated Alcoholic Liver Disease, National Institute of Diabetes and Digestive and Kidney Diseases, 2024-2029.
  • Co-investigator, Lipotoxicity and Liver Inflammation, National Institute of Diabetes and Digestive and Kidney Diseases, 2024-2028.
• Invited speaker, Artificial Intelligence in Alcohol-Associated Liver Disease, The Liver Meeting, American Association for the Study of Liver Diseases, 2024.
• Peer reviewer, Hepatology, 2024.
• Peer reviewer, Science Advances, 2024.
• Peer reviewer, Human Pathology, 2023.