01
ACLF and decompensated cirrhosis
Defining disease turning points and how precipitants and organ-failure patterns shape short-term outcomes.
ACLFCirrhosisClinical trajectories
Research map
From clinical trajectories to testable mechanisms
Connecting cohorts, mechanisms, biomarkers, and translation across the evolving course of severe liver disease.
02
Natural history and dynamic prediction
Using longitudinal measurements and multistate models to turn static scores into updateable trajectory estimates.
Longitudinal cohortsRisk stratificationPrediction
03
Inflammation, immune dysregulation, and resolution
Combining single-cell and spatial omics to identify cellular and molecular programs that drive progression or promote resolution.
ImmunologySingle-cellSpatial omics
04
Infection in cirrhosis and liver failure
Studying links between infection recognition, host response, and organ decompensation to improve early stratification.
InfectionHost responseOrgan failure
05
Biomarkers and multi-omics translation
Discovering clinically testable diagnostic and prognostic signals across metabolomics, transcriptomics, and phenotypes.
BiomarkersMetabolomicsTranslation
06
Hepatitis B and MASLD
Examining how chronic liver disease context and metabolic factors influence long-term liver-related risk.
HBVMASLDLiver-related events