Publications by authors named "T A Doktorova"

Article Synopsis
  • Gene expression biomarkers can help identify both genotoxic and non-genotoxic carcinogens, which could reduce the need for animal testing.
  • In August 2022, a workshop reviewed current methods for using transcriptomic profiling to detect genotoxic chemicals, examining 1341 papers to find reliable biomarkers.
  • The analysis identified two promising in vivo biomarkers and three in vitro biomarkers that show over 92% predictive accuracy and can be adapted for various testing conditions, with support from workshop participants for their regulatory adoption.
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Purpose: This study analyzes the influence of various factors on the hypotensive effect of selective laser trabeculoplasty (SLT) in patients with primary open-angle glaucoma (POAG).

Material And Methods: A retrospective study of the SLT effect was performed in 582 patients (756 eyes; mean age - 71.9±9.

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Purpose: This article studies the relationship between structural changes according to the findings of optical coherence tomography (OCT) and OCT angiography (OCTA), microperimetry (MP), multifocal electroretinography (mfERG) parameters in topographically corresponding areas of the macular region in idiopathic full-thickness macular holes (FTMH).

Material And Methods: OCT, OCTA, MP and mfERG were performed in 14 eyes with FTMH stages I-IV according to Gass. In 13 points at a distance of 0-2.

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Unlabelled: Drug-induced liver injury (DILI) is one of the leading reasons for discontinuation of a new drug development project. Diverse machine learning or deep learning models have been developed to predict DILI. However, these models have not provided an adequate understanding of the mechanisms leading to DILI.

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The need to reduce, refine and replace animal experimentation has led to a boom in the establishment of new approach methodologies (NAMs). This promising trend brings the hope that the replacement of animals by using NAMs will become increasingly accepted by regulators, included in legislation, and consequently more-often implemented by industry. The majority of NAMs, however, are still not very well understood, either due to the complexity of the applied approach or the data analysis workflow.

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