OpenScribe is an open-source AI scribe that records patient encounters and generates structured clinical notes automatically. You keep full control over data, workflows, and patient privacy with no vendor lock-in.

Website for the JuliaHealth organization (powered by Franklin.jl).

Survival functions for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.

R SDK for OMOP/OHDSI vocabularies. Query 10M+ medical concepts across SNOMED, ICD-10, RxNorm, LOINC & 90+ terminologies via simple API

Python SDK for OMOP/OHDSI vocabularies - query 9M+ medical concepts across SNOMED, ICD-10, RxNorm, LOINC & 90+ terminologies via simple API

Single-file PyTorch pipeline for pathogen class prediction on MIMIC-III/IV EHR data. Hybrid Conv1D+BiLSTM+numeric model, streaming CSV ETL without pandas, ECE calibration, ROC/PR-AUC, and subgroup bias checks. Research and education only.

Detect anomalies in pharmacological profiles using machine learning

Python library to work with HPO (Human Phenotype Ontology) terms and their gene/disease associations

Responsive HTML/CSS/JS template that mimics Sectra PACS Info Panel styling, letting radiology teams embed division-specific quick links (RIS, protocols, teaching files, guidelines, etc.) directly inside PACS.

This is a package with miscellaneous tools, a set of computational tools and a graphical user interface (GUI) for privacy preserving federated survival model meta-analysis using the DataSHIELD platform. The primary function is to enable data and model documentation.

A curated list of awesome OHDSI tools, packages, and resources for OMOP CDM

A Julia-based machine learning framework to identify predictive biomarkers for chronic Hepatitis B progression from sparse clinical data.

Production-grade ML system predicting ICU 30-day readmission risk (MIMIC-IV, 48K patients). Complete pipeline: data cleaning → feature engineering (181 features) → LightGBM (0.79 AUC) → deployed Streamlit app. Healthcare AI portfolio project.

CODEHR: Clinical Open Dashboard for Electronic Health Records

About me (Soumya Banerjee)

An automated Python pipeline for clinical data remediation and multi-dimensional quality assessment of the UCI Diabetes 130-US Hospitals dataset, targeting 25% DQI improvement through MICE/KNN imputation

A domain world model for human function, combining ontology, interpretable reasoning, safety constraints, and auditable decision support.

Curriculum Vitae

Pymimic3 is a scalable experimentation platform for MIMIC-III, featuring ready-to-run models, fully tested utilities for concept drift research, and a parallelized, configurable data pipeline.

Desktop app and database to manage staff and medical appointments in a health center. [Co-author]