Neal Dunkinson, VP Solutions & Professional Services, and Samir Courdy, Senior VP Informatics, present “POSEIDON – Precision Oncology Software Environment Interoperable Data Ontologies Network” at the Bio-IT World Innovative Practices Award 2023. The presentation showcases POSEIDON’s role in enabling interoperability and data integration for precision oncology through a network of ontologies.
Precision Oncology Software Environment Interoperable Data Ontologies Network (POSEIDON) is an enterprise-wide data platform developed by The City of Hope Research Informatics and the Center for Precision Medicine to support their precision medicine program.
Built on the DNAnexus technology stack with custom features and functionality created by City of Hope Research Informatics, POSEIDON unifies patient data and comprehensive germline and somatic genomic profiling for every patient, supporting data from more than 670,000 patients.
Within the POSEIDON platform, SciBite supports We are nominating COH for the data harmonization; with data standards being managed with CENtree, SciBite’s award-winning ontology management platform, and normalization being provided by SciBite’s named entity recognition engine, TERMite.
POSEIDON enables de-identified and harmonized clinical and multi-omic data to be analysed and visualised by researchers, supporting cohort discovery and exploration as well as preliminary feasibility testing to derive patient specific insights from real-world data (RWD) and real-world evidence (RWE). POSEIDON supports clinico-genomic research at City of Hope, driving the development of more effective therapeutics and improving outcomes.
SciBite has won the Innovative Practice Award at Bio-IT World 2023 for its collaboration with the City of Hope and also for its pivotal role as the ontology ecosystem in AbbVie’s Innovative Practices Award win.Read
Precision medicine is changing the way that we think about the treatment of disease, moving from broad-acting therapies to therapies tailored to the individual patient. This increasingly relies on real-world data (RWD), encompassing a diverse range of sources, spanning multi-omic molecular characterisation of the patient’s condition, clinical presentation, treatment, and broader medical histories.Read
Get in touch with us to find out how we can transform your data
© Copyright © 2024 Elsevier Ltd., its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies.