Building predictive in vitro pulmonary toxicity assays using high-throughput imaging and artificial intelligence

10.1007/s00204-018-2213-0

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Main Authors:	Lee, J.-Y.J, Miller, J.A, Basu, S, Kee, T.-Z.V, Loo, L.-H
Other Authors:	DEPT OF PHARMACOLOGY
Format:	Article
Published:	Springer Verlag 2020
Subjects:	amiodarone aristolochic acid bleomycin butylcresol cadmium chloride carbamazepine DNA doxorubicin lithium chloride myrcene nitrofurantoin nystatin ochratoxin paraquat patulin phalloidin phenylenediamine skatole tenofovir xenobiotic agent Article artificial intelligence automation BEAS-2B cell line cell viability assay chemical structure controlled study diagnostic accuracy diagnostic test accuracy study DNA damage response DNA strand breakage HBEC cell line (bronchial epithelium) high throughput in vitro phenotypic profiling for toxicity prediction high throughput screening human human cell in vitro study in vivo study lung cell line lung toxicity phenotype predictive value priority journal sensitivity and specificity A-549 cell line bronchus cell line cell survival chemistry drug effect lung pathology procedures toxicity testing A549 Cells Artificial Intelligence Bronchi Cell Line Cell Survival High-Throughput Screening Assays Humans Lung Predictive Value of Tests Sensitivity and Specificity Toxicity Tests Xenobiotics
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/179035
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Institution:	National University of Singapore

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spelling	sg-nus-scholar.10635-1790352023-08-07T09:33:59Z Building predictive in vitro pulmonary toxicity assays using high-throughput imaging and artificial intelligence Lee, J.-Y.J Miller, J.A Basu, S Kee, T.-Z.V Loo, L.-H DEPT OF PHARMACOLOGY amiodarone aristolochic acid bleomycin butylcresol cadmium chloride carbamazepine DNA doxorubicin lithium chloride myrcene nitrofurantoin nystatin ochratoxin paraquat patulin phalloidin phenylenediamine skatole tenofovir xenobiotic agent Article artificial intelligence automation BEAS-2B cell line cell viability assay chemical structure controlled study diagnostic accuracy diagnostic test accuracy study DNA damage response DNA strand breakage HBEC cell line (bronchial epithelium) high throughput in vitro phenotypic profiling for toxicity prediction high throughput screening human human cell in vitro study in vivo study lung cell line lung toxicity phenotype predictive value priority journal sensitivity and specificity A-549 cell line bronchus cell line cell survival chemistry drug effect high throughput screening lung pathology procedures toxicity testing A549 Cells Artificial Intelligence Bronchi Cell Line Cell Survival High-Throughput Screening Assays Humans Lung Predictive Value of Tests Sensitivity and Specificity Toxicity Tests Xenobiotics 10.1007/s00204-018-2213-0 Archives of Toxicology 92 6 2055-2075 2020-10-22T07:24:25Z 2020-10-22T07:24:25Z 2018 Article Lee, J.-Y.J, Miller, J.A, Basu, S, Kee, T.-Z.V, Loo, L.-H (2018). Building predictive in vitro pulmonary toxicity assays using high-throughput imaging and artificial intelligence. Archives of Toxicology 92 (6) : 2055-2075. ScholarBank@NUS Repository. https://doi.org/10.1007/s00204-018-2213-0 03405761 https://scholarbank.nus.edu.sg/handle/10635/179035 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Springer Verlag Unpaywall 20201031
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	amiodarone aristolochic acid bleomycin butylcresol cadmium chloride carbamazepine DNA doxorubicin lithium chloride myrcene nitrofurantoin nystatin ochratoxin paraquat patulin phalloidin phenylenediamine skatole tenofovir xenobiotic agent Article artificial intelligence automation BEAS-2B cell line cell viability assay chemical structure controlled study diagnostic accuracy diagnostic test accuracy study DNA damage response DNA strand breakage HBEC cell line (bronchial epithelium) high throughput in vitro phenotypic profiling for toxicity prediction high throughput screening human human cell in vitro study in vivo study lung cell line lung toxicity phenotype predictive value priority journal sensitivity and specificity A-549 cell line bronchus cell line cell survival chemistry drug effect high throughput screening lung pathology procedures toxicity testing A549 Cells Artificial Intelligence Bronchi Cell Line Cell Survival High-Throughput Screening Assays Humans Lung Predictive Value of Tests Sensitivity and Specificity Toxicity Tests Xenobiotics
spellingShingle	amiodarone aristolochic acid bleomycin butylcresol cadmium chloride carbamazepine DNA doxorubicin lithium chloride myrcene nitrofurantoin nystatin ochratoxin paraquat patulin phalloidin phenylenediamine skatole tenofovir xenobiotic agent Article artificial intelligence automation BEAS-2B cell line cell viability assay chemical structure controlled study diagnostic accuracy diagnostic test accuracy study DNA damage response DNA strand breakage HBEC cell line (bronchial epithelium) high throughput in vitro phenotypic profiling for toxicity prediction high throughput screening human human cell in vitro study in vivo study lung cell line lung toxicity phenotype predictive value priority journal sensitivity and specificity A-549 cell line bronchus cell line cell survival chemistry drug effect high throughput screening lung pathology procedures toxicity testing A549 Cells Artificial Intelligence Bronchi Cell Line Cell Survival High-Throughput Screening Assays Humans Lung Predictive Value of Tests Sensitivity and Specificity Toxicity Tests Xenobiotics Lee, J.-Y.J Miller, J.A Basu, S Kee, T.-Z.V Loo, L.-H Building predictive in vitro pulmonary toxicity assays using high-throughput imaging and artificial intelligence
description	10.1007/s00204-018-2213-0
author2	DEPT OF PHARMACOLOGY
author_facet	DEPT OF PHARMACOLOGY Lee, J.-Y.J Miller, J.A Basu, S Kee, T.-Z.V Loo, L.-H
format	Article
author	Lee, J.-Y.J Miller, J.A Basu, S Kee, T.-Z.V Loo, L.-H
author_sort	Lee, J.-Y.J
title	Building predictive in vitro pulmonary toxicity assays using high-throughput imaging and artificial intelligence
title_short	Building predictive in vitro pulmonary toxicity assays using high-throughput imaging and artificial intelligence
title_full	Building predictive in vitro pulmonary toxicity assays using high-throughput imaging and artificial intelligence
title_fullStr	Building predictive in vitro pulmonary toxicity assays using high-throughput imaging and artificial intelligence
title_full_unstemmed	Building predictive in vitro pulmonary toxicity assays using high-throughput imaging and artificial intelligence
title_sort	building predictive in vitro pulmonary toxicity assays using high-throughput imaging and artificial intelligence
publisher	Springer Verlag
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/179035
_version_	1779152419884630016

Building predictive in vitro pulmonary toxicity assays using high-throughput imaging and artificial intelligence

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