Neglected/Infectious Disease Knowledge Systems
Interactive application with grid-based views of the Tuberculosis knowledgebase and knowledgegraph.
Interactive application with grid-based views of the Chikungunya knowledgebase
Interactive application with grid-based views of the Nipah Virus knowledgebase.
Interactive application with grid-based views of the Coronavirus knowledgebase and knowledgegraph.
The Open Source Pharma Foundation and Ingentium are collaborating on the implementation of an open information commons for the collaborative development of new disease treatments using an open source methodology. Together, Wwe have created a cloud based infrastructure. This project is initially focused on Tuberculosis, Nipah Virus, and Chikungunya Virus, and takes advantage of the Ingentium machine learning tools to create knowledge bases and knowledge graphs for each of these areas. The Mayo Clinic Center for Tuberculosis, which is a WHO Collaborating Center for Digital Health and Precision Medicine for Tuberculosis, is, at the invitation of OSPF, a collaborator on the Tuberculosis knowledge base/knowledge graph. Our vision is to build living knowledge bases focused on the specific content needed to enable drug discovery and development for different neglected diseases.
You will be able to open an account on your first attempt (email and password required). Your account will be activated once you respond to the verification email. To access knowledge graph applications Neo4j and Linkurious, you will need a separate username and password. Please contact email@example.com to request access or if you have any additional queries, please write to firstname.lastname@example.org or email@example.com.