Drug-Induced Liver Injury (DILI) Rule Engine and Risk Prediction API
Expert-system rules engine for DILI risk flagging using LFT-derived ratios and medication risk rules, built for deployment on Google Cloud and integration into clinical pipelines.
Tech Stack
Overview
A clinical decision-support style package + API that evaluates liver function tests and medication history to flag potential drug-induced liver injury risk using auditable clinical rules, with a data pipeline backed by Google Cloud services.
The Problem
DILI screening is often delayed because clinicians must compute derived ratios across multiple labs, interpret injury patterns consistently, and cross-check medication risk , while lab and medication data lives across separate systems and formats.
The Solution
Implemented a rules-based DILI evaluation framework using established heuristics (Hy's Law criteria and R-ratio patterning) to classify hepatocellular/cholestatic/mixed injury patterns from LFT inputs. Built a FastAPI service with Pydantic validation and SQLAlchemy + Alembic for persistence, and integrated Google Cloud (BigQuery + GCP) for querying and analyzing longitudinal lab and medication data.
Results & Impact
Generates consistent, explainable DILI risk flags and injury-pattern classifications from lab and medication inputs, with cloud-backed querying and reproducible rule execution suitable for integration into downstream alerting or clinical data pipelines.