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http://dx.doi.org/10.1126/science.adp4153 | DOI Listing |
Mol Divers
September 2025
Laboratory of Molecular Design and Drug Discovery, School of Science, China Pharmaceutical University, Nanjing, 211198, China.
Drug absorption significantly influences pharmacokinetics. Accurately predicting human oral bioavailability (HOB) is essential for optimizing drug candidates and improving clinical success rates. The traditional method based on experiment is a common way to obtain HOB, but the experimental method is time-consuming and costly.
View Article and Find Full Text PDFJ Comp Eff Res
September 2025
British Heart Foundation, University of Glasgow, Glasgow, UK.
Composite endpoints amalgamate multiple clinical outcomes into a single measure, offering efficiency gains in clinical trials through increased event rates and reduced sample sizes, thus accelerating clinical development and regulatory approval. However, employing composite endpoints introduces complexities into health technology assessments (HTAs), particularly in economic modeling, due to the varying clinical significance and cost implications of the components. In this paper, we explore best modeling practice for HTAs that are based on clinical trials that employ composite endpoints.
View Article and Find Full Text PDFERJ Open Res
September 2025
School of Psychology, University of Waikato, Hamilton, New Zealand.
Background: While some research shows that dogs are able to detect lung cancer at above-chance levels using breath samples, the relative utility of other sample types has not been established. We evaluated the comparative utility of human breath and saliva samples for lung cancer detection using dogs.
Methods: Seven dogs assessed breath and saliva samples from 154 patients attending a general respiratory clinic.
Natl Sci Rev
September 2025
Department of Earth Sciences, Durham University, Durham DH1 3LE, UK.
Rhenium and osmium are both siderophilic and chalcophilic, exhibiting a strong affinity for organic-rich materials. This makes the Re-Os chronometer a valuable complement to geochronometers based on lithophile elements. In this review, we begin by discussing how the elemental abundances and isotopic compositions impact sample selection, analytical strategy, and data interpretation.
View Article and Find Full Text PDFBayesian Anal
January 2025
Department of Statistics, University of Washington, Seattle, USA.
We introduce the BREASE framework for the Bayesian analysis of randomized controlled trials with binary treatment and outcome. Approaching the problem from a causal inference perspective, we propose parameterizing the likelihood in terms of the aseline isk, fficacy, and dverse ide ffects of the treatment, along with a flexible, yet intuitive and tractable jointly independent beta prior distribution on these parameters, which we show to be a generalization of the Dirichlet prior for the joint distribution of potential outcomes. Our approach has a number of desirable characteristics when compared to current mainstream alternatives: (i) it naturally induces prior dependence between expected outcomes in the treatment and control groups; (ii) as the baseline risk, efficacy and risk of adverse side effects are quantities commonly present in the clinicians' vocabulary, the hyperparameters of the prior are directly interpretable, thus facilitating the elicitation of prior knowledge and sensitivity analysis; and (iii) we provide analytical formulae for the marginal likelihood, Bayes factor, and other posterior quantities, as well as an exact posterior sampling algorithm and an accurate and fast data-augmented Gibbs sampler in cases where traditional MCMC fails.
View Article and Find Full Text PDF