About this event
About the series
The Hyve is thrilled to announce the webinar series "Beyond Traditional Approaches in Drug Safety: The Power of Semantic Modeling and Knowledge Graphs", aiming to explore novel solutions to support and advance data-driven processes in pharmacovigilance.
In the ever-evolving world of medicine, drug safety monitoring is critical to ensure patient safety. However, the presence of complex and multi-source data complicates the data representation, understanding, and subsequent analysis to detect and monitor adverse drug effects. This series will focus on the applications of Semantic Modeling and Knowledge Graphs in the field of pharmacovigilance that aim to tackle these challenges and offer novel frameworks in drug safety.
About this webinar
The first webinar of the series, "Integrating Biomedical Ontologies with OMOP: Opportunities for Drug Safety Monitoring" will explore the convergence of data harmonization and semantic models in the context of drug safety monitoring.
The first part of the session will host a presentation by Dr. Tiffany Callahan (IBM Research Almaden) titled "Ontologizing Health Systems to Facilitate Translational Discovery and Improve Drug Safety". Systems pharmacology is an emerging discipline that aims to provide a holistic understanding of the molecular mechanisms underlying drug interactions within the context of diverse genetic and environmental factors. Recent advancements provide unprecedented opportunities to go beyond the traditional epidemiological exposure-to-outcome paradigm to more intelligent models. This presentation will introduce novel methods designed to support these models, presenting new opportunities for drug safety monitoring.
The subsequent panel discussion will feature experts in the field, including Dr. Tiffany Callahan, Sofia Bazakou from The Hyve's Real World Data team, and Elpida Kontsioti from The Hyve’s Research Data Management team. Key themes to be explored include:
The Hyve is the data & informatics service provider for life science organizations looking to align their data infrastructure with research needs. We enable open science by developing and implementing open-source solutions, FAIRifying data and expert consulting in life sciences.
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