A reproducible single-cell workflow for human liver fibrosis, MASH, and cirrhosis target discovery.

A clinical-grade biophysical simulation of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) and Cirrhosis. Built with Spring Boot, Next.js, and Three.js, it translates FIB-4 laboratory parameters into real-time WebGL organ deformations and ECG electrophysiology models.

Machine learning project for predicting liver cirrhosis patient outcomes using clinical and laboratory data. Includes EDA, preprocessing, Random Forest classification, SMOTE balancing, hyperparameter tuning, permutation importance, and stakeholder-focused medical visualizations.