Rudmann, Daniel published the artcileUsing Deep Learning Artificial Intelligence Algorithms to Verify N-Nitroso-N-Methylurea and Urethane Positive Control Proliferative Changes in Tg-RasH2 Mouse Carcinogenicity Studies, Application of 1-Methylurea, the main research area is nitrosomethylurea urethane TgRasH carcinogenicity deep learning artificial intelligence algorithm; Tg-rasH2; artificial intelligence; carcinogenicity; convolutional neural network; deep learning; safety assessment.
In Tg-rasH2 carcinogenicity mouse models, a pos. control group is treated with a carcinogen such as urethane or N-nitroso-N-methylurea to test study validity based on the presence of the expected proliferative lesions in the transgenic mice. We hypothesized that artificial intelligence-based deep learning (DL) could provide decision support for the toxicol. pathologist by screening for the proliferative changes, verifying the expected pattern for the pos. control groups. Whole slide images (WSIs) of the lungs, thymus, and stomach from pos. control groups were used for supervised training of a convolutional neural network (CNN). A single pathologist annotated WSIs of normal and abnormal tissue regions for training the CNN-based supervised classifier using INHAND criteria. The algorithm was evaluated using a subset of tissue regions that were not used for training and then addnl. tissues were evaluated blindly by 2 independent pathologists. A binary output (proliferative classes present or not) from the pathologists was compared to that of the CNN classifier. The CNN model grouped proliferative lesion pos. and neg. animals at high concordance with the pathologists. This process simulated a workflow for review of these studies, whereby a DL algorithm could provide decision support for the pathologists in a nonclin. study.
Toxicologic Pathology published new progress about Adenoma. 598-50-5 belongs to class isoquinoline, name is 1-Methylurea, and the molecular formula is C2H6N2O, Application of 1-Methylurea.
Referemce:
Isoquinoline – Wikipedia,
Isoquinoline | C9H7N – PubChem