A flexible, modular, and easy to use library to facilitate federated learning research and development in healthcare settings

Library for handling atomistic graph datasets focusing on transformer-based implementations, with utilities for training various models, experimenting with different pre-training tasks, and a suite of pre-trained models with huggingface integrations

An application to predict delirium prevalence rates at hospitals

A pipeline for creating clinical reasoning benchmarks from electronic health records

An application to predict risk of delirium at time of admission

Health services recommendation project

An application to monitor clinical AI models

A toolkit for developing foundation models using Electronic Health Record (EHR) data.

A tool to query relational EHR databases