An overview of machine learning and big data for drug toxicity evaluation

AH Vo, TR Van Vleet, RR Gupta… - Chemical research in …, 2019 - ACS Publications
Drug toxicity evaluation is an essential process of drug development as it is reportedly
responsible for the attrition of approximately 30% of drug candidates. The rapid increase in …

Stem cells based in vitro models: trends and prospects in biomaterials cytotoxicity studies

U Ahmed, R Ahmed, MS Masoud, M Tariq… - Biomedical …, 2021 - iopscience.iop.org
Advanced biomaterials are increasingly used for numerous medical applications from the
delivery of cancer-targeted therapeutics to the treatment of cardiovascular diseases. The …

Application of machine learning in translational medicine: current status and future opportunities

N Terranova, K Venkatakrishnan, LJ Benincosa - The AAPS Journal, 2021 - Springer
The exponential increase in our ability to harness multi-dimensional biological and clinical
data from experimental to real-world settings has transformed pharmaceutical research and …

Application of Cell Painting for chemical hazard evaluation in support of screening-level chemical assessments

J Nyffeler, C Willis, FR Harris, MJ Foster… - Toxicology and Applied …, 2023 - Elsevier
Abstract 'Cell Painting'is an imaging-based high-throughput phenotypic profiling (HTPP)
method in which cultured cells are fluorescently labeled to visualize subcellular structures …

Generation and characterization of iPSC-derived renal proximal tubule-like cells with extended stability

V Chandrasekaran, G Carta, D da Costa Pereira… - Scientific reports, 2021 - nature.com
The renal proximal tubule is responsible for re-absorption of the majority of the glomerular
filtrate and its proper function is necessary for whole-body homeostasis. Aging, certain …

Nephrotoxic antisense oligonucleotide SPC5001 induces kidney injury biomarkers in a proximal tubule-on-a-chip

TTG Nieskens, O Magnusson, P Andersson… - Archives of …, 2021 - Springer
Antisense oligonucleotides (ASOs) are a promising therapeutic modality. However, failure to
predict acute kidney injury induced by SPC5001 ASO observed in a clinical trial suggests …

In silico prediction of potential drug‐induced nephrotoxicity with machine learning methods

Y Gong, D Teng, Y Wang, Y Gu, Z Wu… - Journal of Applied …, 2022 - Wiley Online Library
In recent years, drug‐induced nephrotoxicity has been one of the main reasons for the
failure of drug development. Early prediction of the nephrotoxicity for drug candidates is …

Freshly isolated primary human proximal tubule cells as an in vitro model for the detection of renal tubular toxicity

P Bajaj, G Chung, K Pye, T Yukawa, A Imanishi… - Toxicology, 2020 - Elsevier
Drug induced kidney injury (DIKI) is a common reason for compound attrition in drug
development pipelines with proximal tubule epithelial cells (PTECs) most commonly …

[HTML][HTML] A brief overview to systems biology in toxicology: the journey from in to vivo, in-vitro and–omics

FA Yahya, NFM Hashim, DAI Ali, TC Ling… - Journal of King Saud …, 2021 - Elsevier
Toxicology aims to comprehend and envisage the adverse outcomes of chemicals and
xenobiotics on the biological system. Predicting toxicity on the biological system is a …

High-content image-based single-cell phenotypic analysis for the testicular toxicity prediction induced by bisphenol A and its analogs bisphenol S, bisphenol AF, and …

L Yin, JS Siracusa, E Measel, X Guan… - Toxicological …, 2020 - academic.oup.com
Emerging data indicate that structural analogs of bisphenol A (BPA) such as bisphenol S
(BPS), tetrabromobisphenol A (TBBPA), and bisphenol AF (BPAF) have been introduced …