Results 131 to 140 of about 73,306 (292)

Computational Toxicology: A New Frontier in Predictive Toxicology

International Journal of Innovative Research in Computer and Communication Engineering
Computational toxicology, a field that bridges toxicology with computational tools, is transforming how adverse effects of chemicals on human health and the environment are predicted. This innovative approach reduces reliance on animal testing, accelerates safety assessments, and lowers costs for industries like pharmaceuticals and environmental ...
C K Gomathy, V Geetha, H. Surendar, S. Sri Ramakrishnan, V. Sanjay   +4 more
openaire   +1 more source

Advanced Methods for Dose-Response Assessment: Bayesian Approaches—Final Report [PDF]

Resources for the Future (RFF), in conjunction with the U.S. Environmental Protection Agency, the Society for Risk Analysis, and the Electric Power Research Institute, held a workshop September 18–20, 2000, at the RFF Conference Center in Washington, D.C.
Wilson, James
core  

Comparing Transcriptomic Responses to Chemicals Across Six Species Using the EcoToxChip RNASeq Database

Environmental Toxicology and Chemistry, EarlyView.
Abstract The EcoToxChip project includes RNA‐sequencing data from experiments involving model (Japanese quail, fathead minnow, African clawed frog) and ecological (double‐crested cormorant, rainbow trout, northern leopard frog) species at multiple life stages (whole embryo and adult) exposed to eight chemicals of environmental concern known to perturb ...
Krittika Mittal, Jessica Ewald, Doug Crump, Jessica Head, Markus Hecker, Natacha Hogan, Jianguo Xia, Niladri Basu   +7 more
wiley   +1 more source

Risk assessment for condylar stress fracture in elite racing Thoroughbreds using standing computed tomography‐based virtual mechanical testing

Equine Veterinary Journal, EarlyView.
Abstract Background Condylar stress fracture of the third metacarpal bone (MC3) is a common catastrophic injury in Thoroughbred racehorses and is associated with parasagittal groove (PSG) subchondral osteolysis. Standing computed tomography (sCT) imaging enables sensitive identification of this fatigue‐induced early subchondral bone injury (SBI), but ...
Nicola L. Brown, Soroush Irandoust, Elleana J. Thom, R. Christopher Whitton, Corinne R. Henak, Peter Muir   +5 more
wiley   +1 more source

Validation of a handheld smartphone markerless gait‐analysis tool using an estimated groundline in horses

Equine Veterinary Journal, EarlyView.
Abstract Background A handheld smartphone‐based computer vision algorithm (RealHorse® [RH]) offers accessible alternatives for equine gait analysis but requires validation against a gold‐standard three‐dimensional multicamera optical motion capture system (Qualisys® [QS]).
Karsten Key, Jakob Kirkegaard, Katja Berg, Kristian Ringkjær Andresen, Sabrina Skov Hansen   +4 more
wiley   +1 more source

Model Averaging Software for Dichotomous Dose Response Risk Estimation [PDF]

Model averaging has been shown to be a useful method for incorporating model uncertainty in quantitative risk estimation. In certain circumstances this technique is computationally complex, requiring sophisticated software to carry out the computation ...
A. John Bailer, Matthew W. Wheeler
core   +1 more source

When Rare Is Not Small: Amyotrophic Lateral Sclerosis Initiatives and Therapy

Exploration, EarlyView.
In the precision‐medicine era, rare diseases must not be sidelined in translational infrastructure. The Mr. Cai Lei—led “Ice‐Breaking Team” turns an amyotrophic lateral sclerosis patient community into a sustainable ecosystem, realigning philanthropy, data, and research and development to reshape rare‐disease pipelines and guide precision therapies ...
Yang Liu, Xue Xia, Yingfang Chen, Haoying Yang, Xiaochen Chen, Lei Cai, Bingyang Shi   +6 more
wiley   +1 more source

Microengineering the Liver: Strategies for Constructing Functional Liver‐on‐a‐Chip Devices

Exploration, EarlyView.
This review summarizes recent advances in liver‐on‐a‐chip (LOC) technologies, including fabrication strategies and functional integration approaches, and discusses their promising applications in drug screening and related biomedical fields. ABSTRACT Reliable in vitro liver models are indispensable for researching liver diseases and developing ...
Jie Wang, Ziwei Liang, Jiapu Wang, Zongyi Li, Shaojie Wang, Yan Wei, Xin Xie, Di Huang   +7 more
wiley   +1 more source

Bioengineered Isoflavone–Probiotic Functional Foods for Sustainable Modulation of Metabolic and Reproductive Health in PCOS

Food Bioengineering, EarlyView.
Synergistic isoflavone‐probiotic action modulated metabolic, microbial and ovarian pathway ABSTRACT Polycystic ovary syndrome (PCOS) is a prevalent metabolic–endocrine disorder characterized by insulin resistance, hyperandrogenism, chronic inflammation, oxidative stress, and ovarian dysfunction, with growing evidence implicating gut microbiota ...
Jeyavelkumaran Renukadevi, Panneerselvam Sneha, Dhanapal Saravanan Mridula, Keerthivasan Nimithasree, Valliappan Sanjay   +4 more
wiley   +1 more source

Machine Learning Approaches for GC–MS Data Interpretation in Flavour and Fragrance Analysis

Flavour and Fragrance Journal, EarlyView.
The review explores machine learning integration in GC‐MS data analysis for the fragrance and flavour industry, highlighting recent advances and techniques in a context constrained by data scarcity and intellectual property concerns. ABSTRACT This review explores the integration of machine learning (ML) in the analysis of mass spectrometry data ...
Jean‐Baptiste Coffin, Romain Krafft, Sylvain Antoniotti, Sébastien Fiorucci   +3 more
wiley   +1 more source