Results 131 to 140 of about 306 (181)
A robust Bayesian dose optimization design with backfill and randomization for phase I/II clinical trials. [PDF]
Qiu Y, Li M.
europepmc +1 more source
Abstract INTRODUCTION Midlife cardiovascular burden contributes to cognitive decline and dementia. However, research in diverse populations remains scarce. METHODS We included 402 San Antonio Heart Study participants (1979–1988; midlife mean age 57.9 ± 3.8, 58.5% women, 52% Mexican American) later enrolled in the San Antonio Longitudinal Study of Aging
Janette Vazquez +8 more
wiley +1 more source
What's New? Using 21 SNPs, two novel PRS were constructed and used to develop two new machine‐learning classifiers, one for the detection of prostate cancer and the other for the prediction of its aggressiveness and subsequent mortality. The classifier for disease detection is built using the PRS as the sole feature, whereas the one for disease ...
Leandro Rodrigues Santiago +3 more
wiley +1 more source
ABSTRACT Purpose To develop a robust deep learning framework for noncontrast‐enhanced functional lung MRI, overcoming the limitations of spectral decomposition in the presence of physiological nonstationarity. Methods We introduce VQ‐Wave (Ventilation/Q‐perfusion Waveform‐based Assessment of Variable Evolutions), a physics‐driven spatiotemporal ...
Grzegorz Bauman +3 more
wiley +1 more source
ABSTRACT Equity concerns are a primary constraint in the adoption of algorithms across various settings. We ask how providing decision‐makers with a predictive risk model affects racial disparities in the context of the child protection system. We exploit the implementation of the Allegheny Family Screening Tool (AFST), a tool that aims to help child ...
Katherine Rittenhouse +2 more
wiley +1 more source
A Context‐Aware Decision Support Framework for Scientific Experiment Configuration
ABSTRACT Introduction Defining an experimental configuration is a complex decision problem for early‐stage researchers, who must map goals, constraints, and requirements onto datasets, algorithms, and parameter settings that directly affect experimental outcomes.
Pouriya Miri +3 more
wiley +1 more source
Image Databases for Pollen Grain Classification: Availability, Quality, and Challenges
Overview of the study process, from identifying gaps in pollen image databases to a systematic search across six libraries, resulting in 73 final studies, 18 datasets (10 public), and a seven‐point standardization framework proposed under FAIR principles.
Heloise Acco Tives Bedin +4 more
wiley +1 more source
Reconstructing time-to-event data from published Kaplan-Meier curves. [PDF]
Wei Y, Royston P.
europepmc +1 more source
ChatGPT Assisted Scale Development: Attitude Scale for Outdoor Learning Activities
ABSTRACT This study examined the development of a scale to measure pre‐service teachers' attitudes towards outdoor learning activities and the role of ChatGPT in this process. Although the literature has highlighted the potential of artificial intelligence (AI) tools to accelerate and support research, their use in labor‐intensive processes such as ...
Abdullah Faruk Kılıç +1 more
wiley +1 more source
Comb-BOIN12: A Utility-Based Bayesian Optimal Interval Design for Dose Optimization in Cancer Drug-Combination Trials. [PDF]
Lu M, Zhang J, Yuan Y, Lin R.
europepmc +1 more source

