Integration of a microfluidic multicellular coculture array with machine learning analysis to predict adverse cutaneous drug reactions-Reference-Cited by-同舟云学术

Integration of a microfluidic multicellular coculture array with machine learning analysis to predict adverse cutaneous drug reactions

Published:2022 Issue:10 Volume:22 Page:1890-1904
ISSN:1473-0197
Container-title:Lab on a Chip
language:en
Short-container-title:Lab Chip

Author:

Chong Lor Huai¹²³,Ching Terry¹⁴⁵,Farm Hui Jia⁶,Grenci Gianluca¹⁷^ORCID,Chiam Keng-Hwee²,Toh Yi-Chin¹⁸⁹¹⁰^ORCID

Affiliation:

1. Department of Biomedical Engineering, National University of Singapore, 4 Engineering Drive 3, #04-08, Singapore 117583, Singapore

2. Bioinformatics Institute, ASTAR, 30 Biopolis St, Singapore 138671, Singapore

3. School of Pharmacy, Monash University Malaysia, Bandar Sunway, Selangor, 47500, Malaysia

4. Pillar of Engineering Product Development, Singapore University of Technology and Design, 8 Somapah Road, Singapore 487372, Singapore

5. Digital Manufacturing and Design Centre, Singapore University of Technology and Design, 8 Somapah Rd, Singapore 487372, Singapore

6. Department of Computer Science, University of Oxford, Oxford, OX1 3QD, UK

7. Mechanobiology Institute, 5A Engineering Drive 1, Singapore 117411, Singapore

8. School of Mechanical Medical & Process Engineering, Queensland University of Technology, 2 George St, Brisbane, QLD 4000, Australia

9. Centre for Biomedical Technologies, Queensland University of Technology, 60 Musk Ave, Kelvin Grove, QLD 4059, Australia

10. ARC Training Centre for Cell and Tissue Engineering Technologies, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove, QLD 4059, Australia

Abstract

Our multicellular coculture array with the integration of machine learning analysis is able to predict adverse cutaneous drug reactions.

Funder

Singapore-MIT Alliance for Research and Technology Centre

Mechanobiology Institute, Singapore

Australian Research Council

Ministry of Education - Singapore

Publisher

Royal Society of Chemistry (RSC)

Subject

Biomedical Engineering,General Chemistry,Biochemistry,Bioengineering

Link

http://pubs.rsc.org/en/content/articlepdf/2022/LC/D1LC01140E

Reference52 articles.

1. Mechanisms of Skin Toxicity Associated with Metabotropic Glutamate Receptor 5 Negative Allosteric Modulators

2. The lymphocyte transformation test in the diagnosis of drug hypersensitivity

3. New genetic findings lead the way to a better understanding of fundamental mechanisms of drug hypersensitivity

4. Basophil Activation Test Application in Drug Hypersensitivity Diagnosis: An Empirical Approach

5. In vitro Models to Evaluate Drug-Induced Hypersensitivity: Potential Test Based on Activation of Dendritic Cells

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