Results 131 to 140 of about 72,918 (293)
Few studies have quantified the effects of non‐pharmacological interventions (e.g., rescue breathing) in the setting of community opioid overdose. We extended a previously validated model for opioid antagonists by incorporating the mechanism of rescue breathing, and quantified combinatorial effects between rescue breathing and various formulations of ...
Bradlee Thrasher +12 more
wiley +1 more source
Optimizing androgen receptor prioritization using high-throughput assay-based activity models
Introduction: Computational models using data from high-throughput screening assays have promise for prioritizing and screening chemicals for testing under the U.S. Environmental Protection Agency’s Endocrine Disruptor Screening Program (EDSP).
Ronnie Joe Bever +11 more
doaj +1 more source
Carbon Dots: An Emerging Frontier for Green and Sustainable Civil Engineering Materials
Traditional civil engineering materials (CE materials) are usually involved with high‐energy consumption during manufacturing, significant maintenance costs, and substantial environmental impacts throughout their life cycles. The progress of nanotechnology is catalyzing a green and sustainable transformation within the field.
Weiwen Hao +5 more
wiley +1 more source
New techniques and methods for study of environmental health effects
The health effects associated with environmental pollutants remain one of the major public health issues at present. The research method focusing on the population as the research subjects is limited by reliable cohorts, and the research method targeting
Xianan ZHANG +5 more
doaj +1 more source
Abstract Quantitative risk assessments of chemicals are routinely performed using in vivo data from rodents; however, there is growing recognition that non‐animal approaches can be human‐relevant alternatives. There is an urgent need to build confidence in non‐animal alternatives given the international support to reduce the use of animals in toxicity ...
Marc A. Beal +14 more
wiley +1 more source
Artificial intelligence (AI) and machine learning (ML) are increasingly transforming the landscape of cosmetic formulation, enabling the development of safer, more effective, and personalized products.
Antonio Di Guardo +6 more
doaj +1 more source
Abstract Regulatory genetic toxicology focuses on DNA damage and subsequent gene mutations. However, genotoxic agents can also affect epigenetic marks, and incorporation of epigenetic data into the regulatory framework may thus enhance the accuracy of risk assessment.
Roger Godschalk +4 more
wiley +1 more source
Computational Tools to Facilitate Early Warning of New Emerging Risk Chemicals
Innovative tools suitable for chemical risk assessment are being developed in numerous domains, such as non-target chemical analysis, omics, and computational approaches. These methods will also be critical components in an efficient early warning system
Farina Tariq +15 more
doaj +1 more source
Abstract As a part of the International Workshop on Genotoxicity Testing (IWGT) in 2022, a workgroup was formed to evaluate the level of validation and regulatory acceptance of transcriptomic biomarkers that identify genotoxic substances. Several such biomarkers have been developed using various molecular techniques and computational approaches. Within
Matthew J. Meier +7 more
wiley +1 more source
Bridging science and curriculum: preparing future leaders in computational toxicology
Computational toxicology plays an important role in chemical safety assessments. Computational methods are applied to early-stage screening in drug discovery, hazard identification, and regulatory safety assessment.
Frances Hall, Candice Johnson
doaj +1 more source

