AI-guided histopathological discovery in MASLD, linking disease mechanisms with prognosis (A02)

• Subject Area: Gastroenterology
• Term: since 2025
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 535081457

Project A02 leverages AI-driven analysis of routine histopathological liver slides to detect and define regions that represent MASLD disease stages and reflect progression risk. The focus lies on identifying molecular alterations and key regions in tissue driving disease dynamics. By combining AI models, in depth molecular and cellular phenotyping and mechanistic exploration of the events that lead to metabolic injury and cell stress, the project aims to develop novel pathophysiological hypotheses that could enhance diagnostic tools and lead to new therapies.

• DFG Programme: CRC/Transregios
• Subproject of: TRR 412: Metabolic dysfunction-associated steatotic liver disease: Translating mechanisms to tailored therapeutic concepts
• Applicant Institution: shared FU Berlin and HU Berlin through:; Charité - Universitätsmedizin Berlin
• Project Heads: Privatdozent Dr. Cornelius Engelmann; Professor Dr. Jakob Nikolas Kather