Results 81 to 90 of about 721,084 (255)
Computational Toxicology [PDF]
Chemical Research in Toxicology, 2020 Nicole C. Kleinstreuer +2 more
openaire +2 more sources
Human Genomics, 2011 In silico toxicology methods are practical, evidence-based and high throughput, with varying accuracy. In silico approaches are of keen interest, not only to scientists in the private sector and to academic researchers worldwide, but also to the public ...
Valerio Luis G
doaj +1 more source
Advanced in silico characterization of nanomaterials for nanoparticle toxicology [PDF]
arXiv, 2020 Nanomaterials possess a wide range of potential applications due to their novel properties compared to bulk matter, but these same properties may represent an unknown risk to health. Experimental safety testing cannot keep pace with the rate at which new nanoparticles are developed and, being lengthy and expensive, often hinders the development of ...
arxiv
Deep learning-based Segmentation of Rabbit fetal skull with limited and sub-optimal annotations [PDF]
arXiv, 2023 In this paper, we propose a deep learning-based method to segment the skeletal structures in the micro-CT images of Dutch-Belted rabbit fetuses which can assist in the assessment of drug-induced skeletal abnormalities as a required study in developmental and reproductive toxicology (DART).
arxiv
Population variability in animal health: Influence on dose-exposure-response relationships: Part II: Modelling and simulation [PDF]
, 2018 During the 2017 Biennial meeting, the American Academy of Veterinary Pharmacology and Therapeutics hosted a 1‐day session on the influence of population variability on dose‐exposure‐response relationships. In Part I, we highlighted some of the sources of
Bailey +40 more
core +3 more sources
Toxicology testing steps towards computers [PDF]
Lab Animal, 2019 Can the computer eliminate the lab animal? As computational methods become more advanced and data more freely available, in silico modeling approaches have growing potential to help reduce the number of animals needed to test chemical toxicity.
openaire +3 more sources
Graph-based sufficient conditions for indistinguishability of linear compartmental models [PDF]
arXiv, 2023 An important problem in biological modeling is choosing the right model. Given experimental data, one is supposed to find the best mathematical representation to describe the real-world phenomena. However, there may not be a unique model representing that real-world phenomena. Two distinct models could yield the same exact dynamics. In this case, these
arxiv
, 2016 In recent years scholars have built maps of science by connecting the academic fields that cite each other, are cited together, or that cite a similar literature.
Aristarán, Manuel +4 more
core +1 more source
QSAR study for carcinogenicity in a large set of organic compounds [PDF]
, 2012 In our continuing efforts to find out acceptable Absorption, Distribution, Metabolization, Elimination and Toxicity (ADMET) properties of organic compounds, we establish linear QSAR models for the carcinogenic potential prediction of 1464 compounds taken
Castro, Eduardo Alberto +3 more
core +2 more sources
Markov counting models for correlated binary responses [PDF]
arXiv, 2013 We propose a class of continuous-time Markov counting processes for analyzing correlated binary data and establish a correspondence between these models and sums of exchangeable Bernoulli random variables. Our approach generalizes many previous models for correlated outcomes, admits easily interpretable parameterizations, allows different cluster sizes,
arxiv