Health Universe provides the cloud infrastructure necessary for researchers, data scientists, and clinicians to explore and deploy cutting-edge health AI.
No more time wasted emailing authors, asking for data, or recreating complex software environments. With our cloud platform, you can easily run python apps from your browser, to make research more accessible and actionable. From basic models to state-of-the-art AI.
Our community brings together some of the brightest minds in science and medicine, to accelerate innovation and improve outcomes.
What this community is doing is brilliant. The impact that you'll have consolidating all these models under one roof is going to transform healthcare. I can't wait to see what happens."
Former Chief Science Officer for the Office of the National Coordinator for Health IT
Finally a group that is taking all these incredible AI models out of acedemia and allowing them to reach physicians at scale, which will fundamentally transform care and outcomes. This is going to be huge."Carm HuntressCEO, Credo Health
Health Universe aggregates a wide range of models, from basic science to translational medicine and clinical decision support.
For too long, health research has been plagued by walled gardens. Break out of silos with open source collaboration.
The community cloud supports basic applications such as clinical calculators all the way to Torch and Tensorflow models.
Applications that have been approved for clinical workflows include a validation check and comparative performance metrics.
We are a open-source platform that spans from researchers to clinicians, that is aggregating, organizing, and operationalizing 1-click models, from basic scientific research to state-of-the-art AI. We're a community bringing cutting-edge statistical models to researchers, drug developers, health policy researchers, and clinicians at the point of care to improve outcomes and lower costs. It's the future of health research.
Users contribute by linking a GitHub repository containing a model built in python. Researchers and clinicians can run models directly from Health Universe without having to install any software. The models are made instantly available and interactive using the open source UI library called Streamlit.
Clinical models are meant to inform decision making, but are not meant to be definitive. We support the belief, "humans in charge, AI in the loop." At this stage, machine learning requires human guidance and discretion. Performance metrics are included with each model. Typical metrics are AUC, accuracy, precision and recall. Apps with a "verified" seal have been vetted by pervailing standards.
Anyone who wants to advance health research. Typical contributors are graduate students, Ph.D students, post-graduates, and industry. Data scientists are also able to contribute by converting existing research into Streamlit compatible projects. We're always looking for new contributors!
Models must be developed in python and Streamlit. We also support FastAPI for more flexible use cases.
Health Universe provides additional features specific to healthcare. We offer researchers and clinicians critical information such as performance metrics, vetting and verification, model origins, SNOMED ontology, EHR integrations, FHIR standards, and more.
Once you have completed the development of your model, add UI to your project with Streamlit. Then submit your model to Health Universe. We'll spin up a dedicated container to host your model, install your project dependencies, and introduce your model to researchers and clinicians worldwide!