AIMC Topic: Proto-Oncogene Mas

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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 Microscopy, Fluorescence Cellular Senescence Cell Death Hepatocytes High-Throughput Screening Assays Toxicity Tests Transcription Factor RelA Chemical and Drug Induced Liver Injury Primary Cell Culture Actin Cytoskeleton Proto-Oncogene Mas
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Genetic Analysis of Potential Biomarkers and Therapeutic Targets in Ferroptosis from Steroid-Induced Osteonecrosis of the Femoral Head Based on Machine Learning.

Journal of the College of Physicians and Surgeons--Pakistan : JCPSP Aug 1, 2024
OBJECTIVE: To locate the candidate therapeutic target genes involved in ferroptosis in steroid-induced osteonecrosis of the femoral head (SONFH).
Humans Machine Learning Biomarkers Steroids Computational Biology Ferroptosis Femur Head Necrosis Suppressor of Cytokine Signaling 1 Protein Proto-Oncogene Mas
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