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Proper Citation: AETIONOMY (RRID:SCR_000232)
Description: Consortium founded to establish mechanism-based taxonomies for Alzheimer's and Parkinson's disease and other neurodegenerative disorders (NDD), with the goal of facilitating development of more effective and targeted treatments. To do this, the consortium collects and analyzes data to: * Create new ways to combine underutilized data currently available in the literature, public databases, and from private companies * Determine how to dynamically organize and structure different types of knowledge about NDD * Determine how to apply this knowledge to construct new patient group classification * Identify correlations between disease features at molecular, tissue or organ-specific, and clinical levels * Identify sub-groups of patients based on the molecular cause of their disease, as opposed to the nature and location of their symptoms * Deliver data, tools, and recommendations for the biomedical community in the treatment of NDD A mechanism-based taxonomy is hoped to advance the: # Description and organization of the indication-specific data # Linking of data to disease models, based on causal and correlative relationships The expected outcome of AETIONOMY is a new NDD taxonomy system that distinguishes mixed pathologies, allowing for new features or classes to be added into the taxonomy, all with the goal of aiding drug and biomarker discovery.
Abbreviations: AETIONOMY
Resource Type: organization portal, portal, data or information resource, consortium
Keywords: drug development, drug, taxonomy, biomarker, etiology, epidemiology, neuroimaging, mechanism, clinical, clinical trial, database, classification, biological pathway, bio.tools
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Fraunhofer Institute for Algorithms and Scientific Computing SCAI; North Rhine-Westphalia; Germany |
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Source: SciCrunch Registry
