25 papers · ranked by Valyu relevance
Anthony Hardy, Diane Benford, Thorhallur Halldorsson, Michael John Jeger + 23 more
'Michael John Jeger' 'Katrine Helle Knutsen' 'Simon More' 'Alicja Mortensen' 'Hanspeter Naegeli' 'Hubert Noteborn' 'Colin Ockleford' 'Antonia Ricci' 'Guido Rychen' 'Vittorio Silano' 'Roland Solecki' 'Dominique Turck' 'Marc Aerts' 'Laurent Bodin' 'Allen Davis' 'Lutz Edler' 'Ursula Gundert‐Remy' 'Salomon Sand' 'Wout…
Signe M. Jensen, Felix M. Kluxen, Jens C. Streibig, Nina Cedergreen + 2 more
'Christian Ritz' 'Monika Mortimer'] The benchmark dose (BMD) methodology is used to derive a hazard characterization measure for risk assessment in toxicology or ecotoxicology. The present paper’s objective is to introduce the R extension package bmd, which facilitates the estimation of BMD and the benchmark dose lower…
Jessica A. Wignall, Andrew J. Shapiro, Fred A. Wright, Tracey J. Woodruff + 3 more
'Tracey J. Woodruff' 'Weihsueh A. Chiu' 'Kathryn Z. Guyton' 'Ivan Rusyn'] Background: Benchmark dose (BMD) modeling computes the dose associated with a prespecified response level. While offering advantages over traditional points of departure (PODs), such as no-observed-adverse-effect-levels (NOAELs), BMD methods have…
Alex Stringer, Tuğba Akkaya Hocagil, Richard J. Cook, Louise Ryan + 2 more
'Sandra W. Jacobson' 'Joseph L. Jacobson'] Benchmark dose analysis aims to estimate the level of exposure to a toxin that results in a clinically-significant adverse outcome and quantifies uncertainty using the lower limit of a confidence interval for this level. We develop a novel framework for benchmark dose analysis…
Qijun Fang, Walter W. Piegorsch, Susan J. Simmons, Xiaosong Li + 2 more
'Cuixian Chen' 'Yishi Wang'] An important objective in biomedical risk assessment is estimation of minimum exposure levels that induce a pre-specified adverse response in a target population. The exposure/dose points in such settings are known as Benchmark Doses (BMDs). Recently, parametric Bayesian estimation for…
Ipsita Das
This article proposes a method of estimating benchmark dose (BMD) using a family of link functions in binomial response models dealing with model uncertainty problems. Researchers usually estimate the BMD using binomial response models with a single link function. Several forms of link function have been proposed to…
Qingwen FANG, Walter W. Piegorsch, Katherine Barnes
An important objective in environmental risk assessment is estimation of minimum exposure levels, called Benchmark Doses (BMDs) that induce a pre-specified Benchmark Response (BMR) in a target population. Established inferential approaches for BMD analysis typically involve onesided, frequentist confidence limits…
Jia Hu, Mei Li, Tian-xu Han, Jian-wei Chen + 4 more
'Yi-kai Zhou' 'Emmanuel A. Burdmann'] Background A number of factors, including gender, age, smoking habits, and occupational exposure, affect the levels of urinary cadmium. Few studies have considered these influences when calculating the benchmark dose (BMD) of cadmium. In the present study, we aimed to calculate…
Carol Potera
Benchmark dose (BMD) modeling has been touted as a more accurate method for conducting chemical risk assessments.1 In this issue of EHP, a team of researchers applied BMD modeling to hundreds of chemicals whose health effects are already known in an effort to optimize the approach.2 To calculate the highest safe oral…
Qiong Chen, Chen Peng, Haoteng Xu, Zhuojie Su + 4 more
The health implications of microplastics (MPs), especially those originating from hot drinks in disposable paper cups (DPCs), are increasingly alarming. We investigated the accumulation and metabolic and reproductive toxicological effects of MPs from DPCs filled with hot water in various tissues in a pregnant mouse…
Kimberley E. Sala-Hamrick, Anagha Tapaswi, Katelyn M. Polemi, Vy. K Nguyen + 1 more
The impact of chemical exposures on breast cancer progression is poorly characterized and may influence the development of more severe and aggressive subtypes. There is a suite of toxicants, including metals, pesticides, and personal care product compounds, which are commonly detected at high levels in US Center for…
Francesco De Pretis, Yun Zhou, Kan Shao
Following a previous article that focused on integrating epidemiological data from prospective cohort studies into toxicological risk assessment, this paper shifts the focus to case-control studies. Specifically, it utilizes the odds ratio (OR) as the main epidemiological measure, aligning it with the benchmark dose…
John W. Wills, Angela White, Danielle S. G. Harte, Ruby Buckley + 2 more
The management of N-nitrosamine impurities challenges pharmaceutical development and regulation worldwide. Because most medicinal exposures are shorter than lifetime and absolute impurity exclusion is impossible, reliable approaches to define duration-specific intake limits are essential. On the premise that…
Pavel Mozgunov, Thomas Jaki, Xavier Paolettí
An important tool to evaluate the performance of any design is an optimal benchmark proposed by O'Quigley and others (2002, Biostatistics 3(1), 51-56) that provides an upper bound on the performance of a design under a given scenario. The original benchmark can be applied to dose finding studies with a binary endpoint…
Kenny S. Crump, John P. Gibbs
The presence of low concentrations of perchlorate in some drinking water sources has led to concern regarding potential effects on the thyroid. In a recently published report, the National Academy of Sciences indicated that the perchlorate dose required to cause hypothyroidism in adults would probably be > 0.40…
Melanie Walker, Giuseppe Orlando, Amish Asthana, Gabriel C. Oniscu + 1 more
Mitochondrial transplantation is an emerging regenerative therapy aimed at preventing ischemia– reperfusion injury (IRI) by restoring oxidative metabolism in vulnerable tissues. While early clinical studies have demonstrated feasibility in pediatric myocardium and safety in adult stroke patients, dosing strategies…
Pavel Mozgunov, Xavier Paoletti, Thomas Jaki
Title: Summary An important tool to evaluate the performance of a dose-finding design is the nonparametric optimal benchmark that provides an upper bound on the performance of a design under a given scenario. A fundamental assumption of the benchmark is that the investigator can arrange doses in a monotonically…
Esben Budtz-Jøergensen, Philippe Grandjean,
Developmental exposure to perfluorinated substances is associated with deficient IgG antibody responses to childhood vaccines as an indication of depressed immune system functions. As this outcome may represent a critical effect of these substances, calculation of benchmark dose (BMD) results would be useful for…
S. S Abdullah, Ahmed Alsadig, A. Sulieman, Isam H. Mattar + 4 more
The purpose to this work is to validate and benchmark the delivered dose accuracy during radiotherapy treatment (without marker at scar site) to the dose calculated by treatment planning that included a marker on scar site. Dose distributions in breast cancer 3-dimensional conformal treatment planning (3D CRT)…
Ian Knight, Khanh Tang, Olivier Mailhot, John Irwin
Molecular docking is a widely used technique for leveraging protein structure in ligand discovery, but as a method, it remains difficult to utilize due to limitations that have not been adequately addressed. Despite some progress towards automation, docking still requires expert guidance, hindering its adoption by a…
Authors not listed
Physics-based docking methods have long been the cornerstone of structure-based virtual screening (VS). However, the emergence of machine learning (ML)-based docking approaches has opened up new possibilities for enhancing VS technologies. In this study, we explore the integration of DiffDock-L, a leading ML-based pose…
Kobi Felton, Jan Rittig, Alexei Lapkin
In the fine chemicals industry, reaction screening and optimisation are essential to development of new products. However, this screening can be extremely time and labor intensive, especially when intuition is used. Machine learning offers a solution through iterative suggestions of new experiments based on past…
Authors not listed
The construction of large benchmark sets has accelerated advancement of quantum chemistry methods, especially in density functional theory and lower-cost methods. However, these large benchmark sets can be unsuitable for cutting-edge method development, because research codes developed for fundamentally new approaches…
Kobi Felton, Jan Rittig, Alexei Lapkin
In the fine chemicals industry, reaction screening and optimisation are essential to development of new products. However, this screening can be extremely time and labor intensive, especially when intuition is used. Machine learning offers a solution through iterative suggestions of new experiments based on past…
Authors not listed
Therapeutic drug monitoring enables personalized cancer medicine by dosing patients with chemotherapy based on the patient’s own unique rate of drug clearance and metabolic degradation. These rates significantly influence the plasma concentration which influences patient outcomes. This is especially true for the…