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 32533217

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 ...

Actin Cytoskeleton Cell Death Cellular Senescence Chemical and Drug Induced Liver Injury DNA Damage Dose-Response Relationship, Drug Hep G2 Cells Hepatocytes High-Throughput Screening Assays Humans Image Processing, Computer-Assisted Machine Learning Microscopy, Fluorescence Phenotype Primary Cell Culture Proto-Oncogene Mas Risk Assessment Toxicity Tests Transcription Factor RelA

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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 39113509

OBJECTIVE: To locate the candidate therapeutic target genes involved in ferroptosis in steroid-induced osteonecrosis of the femoral head (SONFH).

Biomarkers Computational Biology Femur Head Necrosis Ferroptosis Humans Machine Learning Proto-Oncogene Mas Steroids Suppressor of Cytokine Signaling 1 Protein

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Proto-Oncogene Mas

Predicting direct hepatocyte toxicity in humans by combining high-throughput imaging of HepaRG cells and machine learning-based phenotypic profiling.

Genetic Analysis of Potential Biomarkers and Therapeutic Targets in Ferroptosis from Steroid-Induced Osteonecrosis of the Femoral Head Based on Machine Learning.

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