[HTML][HTML] Topical phage therapy in a mouse model of Cutibacterium acnes-induced acne-like lesions

…, V Lerer, S Sheffer-Levi, SA Oren, T Shlomov… - Nature …, 2023 - nature.com
Acne vulgaris is a common neutrophil-driven inflammatory skin disorder in which Cutibacterium
acnes (C. acnes) is known to play a key role. For decades, antibiotics have been widely …

[HTML][HTML] Antibiotic susceptibility of Cutibacterium acnes strains isolated from Israeli Acne Patients

…, A Rimon, V Lerer, T Shlomov… - Acta dermato …, 2020 - ncbi.nlm.nih.gov
Antibiotic-resistant Cutibacterium acnes has been reported worldwide, but data from Israeli
patients with acne is currently lacking. This study evaluated the antibiotic susceptibility of C. …

Microscope-based automated quantification of liver fibrosis in mice using a deep learning algorithm

…, V Morello, P Michieli, T Shlomov… - Toxicologic …, 2021 - journals.sagepub.com
In preclinical studies that involve animal models for hepatic fibrosis, accurate quantification
of the fibrosis is of utmost importance. The use of digital image analysis based on deep …

[PDF][PDF] Towards phage therapy for acne vulgaris: Topical application in a mouse model of‎ Cutibacterium acnes-induced acne-like lesions

…, V Lerer, S Sheffer-Levi, S Alkalky-Oren, T Shlomov… - 2022 - scholar.archive.org
Acne vulgaris is a common neutrophil-driven in ammatory skin disorder in which Cutibacterium
acnes (C. acnes) plays a signi cant role. For decades antibiotics have been widely used …

Towards phage therapy for acne vulgaris: Topical application in a mouse model

…, V Lerer, S Sheffer-Levi, S Alkalky-Oren, T Shlomov… - bioRxiv, 2022 - biorxiv.org
Acne vulgaris is a common neutrophile-driven inflammatory skin disorder in which
Cutibacterium acnes (C. acnes) bacteria play a significant role. Until now, antibiotics have been …

Utilization of a deep learning algorithm for microscope-based fatty vacuole quantification in a fatty liver model in mice

Y Ramot, G Zandani, Z Madar… - Toxicologic …, 2020 - journals.sagepub.com
Quantification of fatty vacuoles in the liver, with differentiation from lumina of liver blood
vessels and bile ducts, is an example where the traditional semiquantitative pathology …

Using deep learning artificial intelligence algorithms to verify N-nitroso-N-methylurea and urethane positive control proliferative changes in Tg-RasH2 mouse …

D Rudmann, J Albretsen, C Doolan… - Toxicologic …, 2021 - journals.sagepub.com
In Tg-rasH2 carcinogenicity mouse models, a positive control group is treated with a carcinogen
such as urethane or N-nitroso-N-methylurea to test study validity based on the presence …

Evaluation of the use of single-and multi-magnification convolutional neural networks for the determination and quantitation of lesions in nonclinical pathology studies

J Kuklyte, J Fitzgerald, S Nelissen, H Wei… - Toxicologic …, 2021 - journals.sagepub.com
Digital pathology platforms with integrated artificial intelligence have the potential to increase
the efficiency of the nonclinical pathologist’s workflow through screening and prioritizing …

A Digitized Atlas of Mouse Liver Lesions, Laboratory, Version 3, Beth Mahler, Amy Brix, Jerry Ward, and Robert Maronpot

J Popp - 2005 - journals.sagepub.com
The transmittal of knowledge on the morphologic characteristics of lesions has traditionally
been a tedious although rewarding endeavor. The use of photographs was essential for this …

Comparison of computerized image analysis with traditional semiquantitative scoring of Perls' Prussian Blue stained hepatic iron deposition

AP Hall, W Davies, K Stamp, I Clamp… - Toxicologic …, 2013 - journals.sagepub.com
Image analysis is now routinely employed as a tool in toxicologic pathology to help quantitate
end points of efficacy and safety. It is regarded as a proficient and a sensitive technique to …