AIMC Topic: DNA Damage
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Inter-laboratory automation of the in vitro micronucleus assay using imaging flow cytometry and deep learning.
Archives of toxicology
Jul 10, 2021
The in vitro micronucleus assay is a globally significant method for DNA damage quantification used for regulatory compound safety testing in addition to inter-individual monitoring of environmental, lifestyle and occupational factors. However, it re...
Application of artificial intelligence for detection of chemico-biological interactions associated with oxidative stress and DNA damage.
Chemico-biological interactions
May 27, 2021
In recent years, various AI-based methods have been developed in order to uncover chemico-biological interactions associated with DNA damage and oxidative stress. Various decision trees, bayesian networks, random forests, logistic regression models, ...
Machine learning for sperm selection.
Nature reviews. Urology
May 17, 2021
Infertility rates and the number of couples seeking fertility care have increased worldwide over the past few decades. Over 2.5 million cycles of assisted reproductive technologies are being performed globally every year, but the success rate has rem...
Machine learning uncovers independently regulated modules in the Bacillus subtilis transcriptome.
Nature communications
Dec 11, 2020
The transcriptional regulatory network (TRN) of Bacillus subtilis coordinates cellular functions of fundamental interest, including metabolism, biofilm formation, and sporulation. Here, we use unsupervised machine learning to modularize the transcrip...
Machine learning guided prediction of liquid chromatography-mass spectrometry ionization efficiency for genotoxic impurities in pharmaceutical products.
Journal of pharmaceutical and biomedical analysis
Nov 20, 2020
The limitation and control of genotoxic impurities (GTIs) has continued to receive attention from pharmaceutical companies and authorities for several decades. Because GTIs have the ability to damage deoxyribonucleic acid (DNA) and the potential to c...
Piperidine based 1,2,3-triazolylacetamide derivatives induce cell cycle arrest and apoptotic cell death in .
Journal of advanced research
Nov 10, 2020
The fungal pathogen , is a serious threat to public health and is associated with bloodstream infections causing high mortality particularly in patients with serious medical problems. As this pathogen is generally resistant to all the available clas...
In vitro and in silico genetic toxicity screening of flavor compounds and other ingredients in tobacco products with emphasis on ENDS.
Journal of applied toxicology : JAT
Jul 13, 2020
Electronic nicotine delivery systems (ENDS) are regulated tobacco products and often contain flavor compounds. Given the concern of increased use and the appeal of ENDS by young people, evaluating the potential of flavors to induce DNA damage is impo...
Flavoring Agents
Quantitative Structure-Activity Relationship
Mutagenicity Tests
Histones
Electronic Nicotine Delivery Systems
Consumer Product Safety
Models, Molecular
DNA Damage
Flow Cytometry
Humans
Tumor Suppressor Protein p53
Mice
Machine Learning
Rats
Biomarkers
Cell Line
Animals
Phosphorylation
Risk Assessment
Predicting direct hepatocyte toxicity in humans by combining high-throughput imaging of HepaRG cells and machine learning-based phenotypic profiling.
Archives of toxicology
Jun 12, 2020
Accurate prediction of drug- and chemical-induced hepatotoxicity remains to be a problem for pharmaceutical companies as well as other industries and regulators. The goal of the current study was to develop an in vitro/in silico method for the rapid ...
Humans
Machine Learning
Phenotype
Risk Assessment
Image Processing, Computer-Assisted
Hep G2 Cells
Dose-Response Relationship, Drug
DNA Damage
Primary Cell Culture
Actin Cytoskeleton
Proto-Oncogene Mas
High-Throughput Screening Assays
Toxicity Tests
Transcription Factor RelA
Chemical and Drug Induced Liver Injury
Microscopy, Fluorescence
Cellular Senescence
Cell Death
Hepatocytes
Sperm quality of rats exposed to difenoconazole using classical parameters and surface-enhanced Raman scattering: classification performance by machine learning methods.
Environmental science and pollution research international
Nov 7, 2019
Difenoconazole is a fungicide extensively used in agriculture. The aim of this study was to evaluate the effects of difenoconazole fungicide on the sperm quality of rats. Wistar rats were divided into four groups: control and exposed to 5 (D5), 10 (D...
Classification of DNA damages on segmented comet assay images using convolutional neural network.
Computer methods and programs in biomedicine
Nov 6, 2019
BACKGROUND AND OBJECTIVE: Identification and quantification of DNA damage is a very significant subject in biomedical research area which still needs more robust and effective methods. One of the cheapest, easy to use and most successful method for D...
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