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1.
Complex In Vitro Model Characterization for Context of Use in Toxicologic Pathology: Use Cases by Collaborative Teams of Biologists, Bioengineers, and Pathologists.
Toxicol Pathol
; : 1926233241253811, 2024 Jun 18.
Artículo
en Inglés
| MEDLINE | ID: mdl-38888280
2.
Scientific and Regulatory Policy Committee Points to Consider: Primary Digital Histopathology Evaluation and Peer Review for Good Laboratory Practice (GLP) Nonclinical Toxicology Studies.
Toxicol Pathol
; 50(4): 531-543, 2022 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-35657014
3.
Scientific and Regulatory Policy Committee Brief Communication: 2019 Survey on Use of Digital Histopathology Systems in Nonclinical Toxicology Studies.
Toxicol Pathol
; 50(3): 397-401, 2022 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-35321602
4.
Mini Review: The Last Mile-Opportunities and Challenges for Machine Learning in Digital Toxicologic Pathology.
Toxicol Pathol
; 49(4): 714-719, 2021 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-33590805
5.
Developing a Qualification and Verification Strategy for Digital Tissue Image Analysis in Toxicological Pathology.
Toxicol Pathol
; 49(4): 773-783, 2021 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-33371797
6.
Using Deep Learning Artificial Intelligence Algorithms to Verify N-Nitroso-N-Methylurea and Urethane Positive Control Proliferative Changes in Tg-RasH2 Mouse Carcinogenicity Studies.
Toxicol Pathol
; 49(4): 938-949, 2021 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-33287665
7.
Proposal to Eliminate Urethane-Treated Positive Control Dose Groups in 26-Week Tg.rasH2 Carcinogenicity Studies.
Int J Toxicol
; 40(3): 207-210, 2021.
Artículo
en Inglés
| MEDLINE | ID: mdl-33813924
8.
Society of Toxicologic Pathology Digital Pathology and Image Analysis Special Interest Group Article*: Opinion on the Application of Artificial Intelligence and Machine Learning to Digital Toxicologic Pathology.
Toxicol Pathol
; 48(2): 277-294, 2020 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-31645203
9.
The Emergence of Microphysiological Systems (Organs-on-chips) as Paradigm-changing Tools for Toxicologic Pathology.
Toxicol Pathol
; 47(1): 4-10, 2019 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-30407146
10.
Interstitial Adipocytes in the Beagle Dog and New Zealand White Rabbit Choroid Plexus.
Toxicol Pathol
; 47(4): 553-555, 2019 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-30987534
11.
Duchenne and Becker Muscular Dystrophies: A Review of Animal Models, Clinical End Points, and Biomarker Quantification.
Toxicol Pathol
; 45(7): 961-976, 2017 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-28974147
12.
Using Automated Image Analysis Algorithms to Distinguish Normal, Aberrant, and Degenerate Mitotic Figures Induced by Eg5 Inhibition.
Toxicol Pathol
; 44(5): 663-72, 2016 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-26936079
13.
Tailored Pig Models for Preclinical Efficacy and Safety Testing of Targeted Therapies.
Toxicol Pathol
; 44(3): 346-57, 2016 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-26511847
14.
Response to Letter to the Editor Regarding "Interstitial Adipocytes in the Beagle Dog and New Zealand White Rabbit Choroid Plexus".
Toxicol Pathol
; 47(7): 901, 2019 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-31648620
15.
On-target and off-target-based toxicologic effects.
Toxicol Pathol
; 41(2): 310-4, 2013 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-23085982
16.
High molecular weight polyethylene glycol cellular distribution and PEG-associated cytoplasmic vacuolation is molecular weight dependent and does not require conjugation to proteins.
Toxicol Pathol
; 41(7): 970-83, 2013.
Artículo
en Inglés
| MEDLINE | ID: mdl-23788571
17.
Proliferative and nonproliferative lesions of the rat and mouse mammary, Zymbal's, preputial, and clitoral glands.
Toxicol Pathol
; 40(6 Suppl): 7S-39S, 2012 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-22949413
18.
Qualification of cardiac troponin I concentration in mouse serum using isoproterenol and implementation in pharmacology studies to accelerate drug development.
Toxicol Pathol
; 37(5): 617-28, 2009 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-19549929
19.
Validation of a Muscle-Specific Tissue Image Analysis Tool for Quantitative Assessment of Dystrophin Staining in Frozen Muscle Biopsies.
Arch Pathol Lab Med
; 143(2): 197-205, 2019 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-30168727
20.
The Gold Standard Paradox in Digital Image Analysis: Manual Versus Automated Scoring as Ground Truth.
Arch Pathol Lab Med
; 141(9): 1267-1275, 2017 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-28557614