Related Experiment Video
Updated: Mar 17, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Ontology-based Vaccine and Drug Adverse Event Representation and Theory-guided Systematic Causal Network Analysis
1Unit for Laboratory Animal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA. Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI 48109, USA. Center for Computational Medicine and Biology, University of Michigan Medical School, Ann Arbor, MI 48109, USA. Comprehensive Cancer Center, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Abstract:
Compared with controlled terminologies (e.g., MedDRA, CTCAE, and WHO-ART), the community-based Ontology of AEs (OAE) has many advantages in adverse event (AE) classifications. The OAE-derived Ontology of Vaccine AEs (OVAE) and Ontology of Drug Neuropathy AEs (ODNAE) serve as AE knowledge bases and support data integration and analysis. The Immune Response Gene Network Theory explains molecular mechanisms of vaccine-related AEs. The OneNet Theory of Life treats the whole process of a life of an organism as a single complex and dynamic network (i.e., OneNet). A new "OneNet effectiveness" tenet is proposed here to expand the OneNet theory. Derived from the OneNet theory, the author hypothesizes that one human uses one single genotype-rooted mechanism to respond to different vaccinations and drug treatments, and experimentally identified mechanisms are manifestations of the OneNet blueprint mechanism under specific conditions. The theories and ontologies interact together as semantic frameworks to support integrative pharmacovigilance research.
Related Concept Videos
Pharmacovigilance
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
Pharmacodynamics: Overview and Principles
Most drugs' effects result from their interactions with drug receptors or targets within the body. These interactions trigger specific responses at the cellular or systemic level. Drug receptors can be found on the surfaces of cells or...
Pharmacodynamic Models: Overview
Pharmacodynamic Models: Direct Effect Model and Indirect Response Model
Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model
Pharmacodynamic Models: Additive and Proportional Drug Effect Model
