Multi-Task Deep Learning Identifies Four MASLD Subtypes for Precision Cardiovascular–Liver–Kidney–Metabolic Management (IMAGE)
Caption
Leveraging a multi-task deep LASSO model, a novel MASLD clustering system was developed, defining distinct subtypes with unique clinical profiles and differential risks for hepatic and extrahepatic complications. This classification facilitates the precise integration of MASLD risk stratification and management within the cardiovascular–liver–kidney–metabolic framework.
Credit
Yan Bi and Tianwei Gu from Nangjing Drum Tower Hospital, and Yinghuan Shi from Nanjing University
Usage Restrictions
Cannot be used without permission
License
Original content