
MICHABO HEALTH SCIENCE LTD
MICHABO HEALTH SCIENCE LTD
1 Projects, page 1 of 1
Open Access Mandate for Publications and Research data assignment_turned_in Project2021 - 2026Partners:LATVIA MGI TECH SIA, UFZ, THE TRUSTEES OF INDIANA UNIVERSITY, Heidelberg University, LATVIA MGI TECH SIA +19 partnersLATVIA MGI TECH SIA,UFZ,THE TRUSTEES OF INDIANA UNIVERSITY,Heidelberg University,LATVIA MGI TECH SIA,CELL NETWORKS,MICHABO HEALTH SCIENCE LTD,altertox,altertox,WATCHFROG,UOXF,University of Birmingham,Clemson University,Helmholtz Association of German Research Centres,MICHABO HEALTH SCIENCE LTD,KIT,CELL NETWORKS,Misvik Biology Oy,Clemson University,Misvik Biology Oy,FUNDACIO CENTRE DE REGULACIO GENOMICA,LEITAT,LEITAT,THE TRUSTEES OF INDIANA UNIVERSITYFunder: European Commission Project Code: 965406Overall Budget: 19,305,600 EURFunder Contribution: 19,305,600 EURThe goal of PrecisionTox is to advance safety assessment of chemicals without the use of animal testing by establishing a new, 3Rs-compliant, cost-effective testing paradigm for chemical safety assessment — Precision Toxicology — that identifies molecular key event (KE) biomarkers predictive of chemically induced adverse health effects in humans and facilitates their uptake into regulatory and industry practice. This goal is supported by three core concepts: PhyloToxicology, which replaces mammal models with an evolutionarily diverse suite of non-sentient animal species from across the tree of life; Quantitative Susceptibility, which determines safety factors based on genetic variability; and Embedded Translation, which engages key stakeholders in project planning, selection of chemicals for investigation, and case studies for regulatory application. We accomplish this goal through six objectives: ● Stakeholder Integration, embedding the Stakeholder Advisory Group in project management (WP1); ● Comparative Toxicology, utilising high-throughput testing methods across five non-sentient species and human cell lines to observe toxic response (WP2); ● Molecular Data Production, applying metabolomics and transcriptomics to comparative toxicology samples to trace adverse outcomes via the molecular key events preceding them (WP3); ● Quantitative Susceptibility, applying quantitative genetics and gene expression profiling to understand variation in individual susceptibility and develop empirical exposure thresholds (WP4); ● Biomarker Discovery, PrecisionTox Data Commons, and NAM Toolbox, using machine learning to identify biomarkers for molecular key events and creating the dissemination and translation products for their use (WP5); and ● Regulatory Analysis and Application, partnering with JRC and regulatory agencies to identify opportunities for applying Precision Toxicology within existing regulatory structures and develop draft guidance for industry use and reporting (WP6).
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