Challenges in MASH discovery
Because MASH is deeply systemic (affecting glucose metabolism, immune response, and lipid synthesis), single-target drugs are rarely sufficient. Also, many traditional models fail to mirror the full spectrum of the human disease, leading to high failure rates in clinical trials.
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A ourely diet induced model was developed to mirrorthe human condition. High fat, high carb diet fed zebrafish develops a progressive steatosis followed by lobular inflammation, ballooning and fibrosis. Morphometric methods were used for the first level of screening
Morphometric Traits: Extracts specific metrics such as collagen fiber width, fiber length, and reticular network density.
Nuclear Morphology: Calculates quantitative features like nuclear elongation, vacuolation, and texture homogeneity, tracking cellular senescence along the liver zonation
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Spatial Morphology Measurements





Histology Scoring
1 - Steatosis
2 - Ballooning
3 - Lobular Inflammation
4 - Fibrosis
5 - Cirrhosis
Solutuions for Pre-clinical studies in MASH
Histology grading with AI assisted workflows were employed to generate a high degree of precision in screening.
​Key Quantifiable Histological Readouts
• Steatosis: Explicitly measures the total fat area fraction and fat droplet distribution.
• Lobular Inflammation: Maps out and measures inflammation density across specific zones.
• Hepatocellular Ballooning: Quantifies cellular injury, swelling, and nuclear deformation.
• Fibrosis Architecture: Measures collagen architectural traits (e.g., septa and nodule formations) crucial for tracking anti-fibrotic drug efficacy
AI-assisted workflows demonstrated outright superiority over manual reads for identifying complex MASH features (specifically hepatocellular ballooning and precise zone inflammation) and determining correct trial eligibility.
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