Third Virtual Summer School 3Rs for ONE Science: Alternative methods: From complexity to predictivity

Francesca Caloni; Olga Introzzi; Alessandra Caccianiga; Leonora Buzanska; Arno C. Gutleb; Helena Kándárova; Laura Ceriotti; Giulia Ranaldi; Hassan Rashidi; Doris Wilflingseder

doi:10.14573/altex.2207112

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Published: Oct 18, 2022

DOI: https://doi.org/10.14573/altex.2207112

Francesca Caloni , Olga Introzzi, Alessandra Caccianiga, Leonora Buzanska, Arno C. Gutleb, Helena Kándárova, Laura Ceriotti, Giulia Ranaldi, Hassan Rashidi, Doris Wilflingseder
[show affiliations]

Francesca Caloni

Università degli Studi di Milano, Department of Environmental Science and Policy (ESP), Milan, Italy

Olga Introzzi

Fondazione Alessandro Volta, Como, Italy

Alessandra Caccianiga

Fondazione Alessandro Volta, Como, Italy

Leonora Buzanska

Department of Stem Cell Bioengineering, Mossakowski Medical Research Institute Polish Academy of Sciences, Warsaw, Poland

Arno C. Gutleb

Luxembourg Institute of Science and Technology, Environmental Research and Innovation (ERIN) Department, Luxembourg, Luxembourg

Helena Kándárova

Centre of Experimental Medicine (CEM), Institute of Experimental Pharmacology and Toxicology, Slovak Academy of Sciences, Bratislava, Slovakia; Faculty of Chemical and Food Technology (FChFT), Institute of Biochemistry and Microbiology, Slovak University of Technology (STU), Bratislava, Slovakia

Laura Ceriotti

VitroScreen, Milan, Italy

Giulia Ranaldi

Food and Nutrition Research Centre, Council for Agricultural Research and Economics, CREA-AN, Rome, Italy

Hassan Rashidi

NIHR Great Ormond Street Hospital Biomedical Research Centre, UCL Great Ormond Street Institute of Child Health, University College London, London, UK

Doris Wilflingseder

Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria

[hide affiliations]

How to Cite

Caloni, F. (2022) “Third Virtual Summer School 3Rs for ONE Science: Alternative methods: From complexity to predictivity”, ALTEX - Alternatives to animal experimentation, 39(4), pp. 710–711. doi: 10.14573/altex.2207112.

Issue

Vol. 39 No. 4 (2022)

Section

Meeting Reports

This work is licensed under a Creative Commons Attribution 4.0 International License.

Articles are distributed under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is appropriately cited (CC-BY). Copyright on any article in ALTEX is retained by the author(s).

References

Cakir, B. and Park, I. H. (2022). Getting the right cells. Elife 11, e80373. doi:10.7554/eLife.80373

Gomez-Lechon, M. J., Tolosa, L., Conde, I. et al. (2014). Competency of different cell models to predict human hepatotoxic drugs. Expert Opin Drug Metab Toxicol 10, 1553-1568. doi:10.1517/17425255.2014.967680

Lauschke, V. M., Vorrink, S. U., Moro, S. M. L. et al. (2016). Massive rearrangements of cellular MicroRNA signatures are key drivers of hepatocyte dedifferentiation. Hepatology 64, 1743-1756. doi:10.1002/hep.28780

Renner, H., Becker, K. J., Kagermeier, T. E. et al. (2021). Cell-type-specific high throughput toxicity testing in human midbrain organoids. Front Mol Neurosci 14, 715054. doi:10.3389/fnmol.2021.715054

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