Machine learning methods for endocrine disrupting potential identification based on single-cell data
Humans are continuously exposed to a variety of toxicants and chemicals which is
exacerbated during and after environmental catastrophes such as floods, earthquakes, and …
exacerbated during and after environmental catastrophes such as floods, earthquakes, and …
Grouping of complex substances using analytical chemistry data: A framework for quantitative evaluation and visualization
A detailed characterization of the chemical composition of complex substances, such as
products of petroleum refining and environmental mixtures, is greatly needed in exposure …
products of petroleum refining and environmental mixtures, is greatly needed in exposure …
Classification of estrogenic compounds by coupling high content analysis and machine learning algorithms
R Mukherjee, B Beykal, AT Szafran… - PLoS Computational …, 2020 - journals.plos.org
Environmental toxicants affect human health in various ways. Of the thousands of chemicals
present in the environment, those with adverse effects on the endocrine system are referred …
present in the environment, those with adverse effects on the endocrine system are referred …
Combining experimental isotherms, minimalistic simulations, and a model to understand and predict chemical adsorption onto montmorillonite clays
An attractive approach to minimize human and animal exposures to toxic environmental
contaminants is the use of safe and effective sorbent materials to sequester them …
contaminants is the use of safe and effective sorbent materials to sequester them …
Advances in Data-Driven Modeling and Global Optimization of Constrained Grey-Box Computational Systems
B Beykal - 2020 - search.proquest.com
The effort to mimic a chemical plant's operations or to design and operate a completely new
technology in silico is a highly studied research field under process systems engineering. As …
technology in silico is a highly studied research field under process systems engineering. As …