Project Virtual Human (VHP4Safery)

Project Overview:

The Virtual Human Platform for Safety (VHP4S) is an innovative project focused on improving safety assessments in healthcare. Using Retrieval Augmented Generation (RAG) system to support research and decision-making for three key health conditions: Parkinson’s disease, kidney disease, and thyroid disorders. At the core of this project, its creating detailed knowledge graphs for each of these conditions. Think of these graphs as interconnected maps of information that include data on symptoms, treatments, outcomes, and more. By building these maps, it can give the system a solid foundation of knowledge to work from. This way, when someone asks a question or needs specific information, the system can provide relevant, clear, and helpful responses. The DSP team is involved in setting up the technical environment to host working sessions amongst the researchers and putting the final product into production through deployment.

DSP Support to the VHP:

As an initial step the Data Science Pool (DSP), participated in a hackathon to work with researchers from the VHP research network . The main contributions of the DSP included providing infrastructural (setting up the work environment for the hackathon participant in the cloud) and other technical support. This was to make sure that the DSP team is involved in the initial and integral parts of the project. Towards the end of the project, the DSP team will deploy the project into production.

For more information on this project, please visit: VHP4Safety (sciencrew.com).

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