GigaTIME: Multimodal AI generates virtual population for tumor microenvironment modeling (Cell)

Python toolkit for Medicaid claims data analysis — preprocessing, cleaning, risk adjustment (Elixhauser, CDPS-Rx), quality measures (PQI, BETOS, low-value care), and patient-level analytic file construction for MAX and TAF CMS data. Built on Dask for scalable processing of large-scale healthcare claims datasets.

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

Example code for the handbook "Comparative effectiveness and personalized medicine using real-world data"

Code for the paper "Clinical connectivity map for drug repurposing: using laboratory results to bridge drugs and diseases". Accepted by BMC Medical Informatics and Decision Making, 2021

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

Code and Datasets for the paper "A deep learning framework for drug repurposing via emulating clinical trials on real-world patient data", published on Nature Machine Intelligence in 2021.

ATLAS is an open source software tool for researchers to conduct scientific analyses on standardized observational data

[Experimental] Federated Partial Identification for Causal Inference with OMOP CDM

AI-powered FDA drug label intelligence platform — production RAG with 5-stage retrieval, multi-agent orchestration, clinical guardrails, and 54 automated tests

Make EHR easier to work with

Read Personalis datasets into MultiAssayExperiment objects

Author: Cong Zhu. Purpose: code for paper "Investigating safety profiles of human papillomavirus vaccine across group differences using VAERS data and MedDRA."

Production-grade Real-World Evidence platform for vaccine researchers. Next.js 16 · React 19 · Supabase · TypeScript. Features PICO protocol builder, PRISMA screening pipeline, RoB 2/ROBINS-I assessment, meta-analysis forest plots, real-time CRDT collaboration (Yjs), and FDA/EMA/CDISC regulatory exports. 76 API routes · 27 DB tables · 1,400+ tests.

EHR-based observational survival analysis of ICU patients with COPD using the MIMIC-IV database. This project evaluates the association between early RAAS inhibitor exposure and in-hospital mortality using time-to-event methods.

EHR-based observational analysis of non-ICU hospital admissions using the MIMIC-IV database. This study examines the relationship between early RAAS inhibitor exposure and in-hospital mortality with multivariable regression and survival analysis.

An interactive platform for CPRD Aurum data extraction, code list development, and cohort assembly

A literature review exploring how missing data was handled across the pipeline of commonly used UK clinical prediction models

Date cleaning and preprocessing | Data wrangling | Date merging | Data visualization | Descriptive & inferential statistics | Report Writing | Real world data

Stroke2Work analyzes return-to-work and health outcomes in stroke survivors, using statistical models to identify patient subgroups most likely to benefit, optimize work reintegration timing, and segment individuals by projected recovery and long-term quality-of-life.