Results 171 to 180 of about 6,570,426 (256)
Trends and Future Directions in Organic Chemistry for Drug Discovery
Organic synthesis is being reshaped by the convergence of catalytic innovation, automation, artificial intelligence, and emerging therapeutic modalities. Late‐stage functionalization, photoredox and electrochemical methods, biocatalysis, flow chemistry, DELs, and proximity‐based drugs are examined as components of closed‐loop discovery.
Paweł Kozyra, Maciej Masłyk
wiley +1 more source
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin +2 more
wiley +1 more source
Dynamic survival risk prediction with time‐varying high‐dimensional images
Abstract Integrating longitudinal data with survival models is a prevalent strategy for dynamic survival risk prediction while accounting for subjects' longitudinally observed variables. However, existing methods primarily focus on scalar longitudinal data and seldom tackle the complexities associated with high‐dimensional longitudinal imaging data ...
Bingfan Liu +7 more
wiley +1 more source
Which Small-Sample Correction Should be Used When Analyzing Stepped-Wedge Designs With Time-Varying Treatment Effects? [PDF]
Ouyang Y, Taljaard M, Hughes JP, Li F.
europepmc +1 more source
The life and work of Ernest Sydney Keeping
Abstract This article reviews the life and contributions of Ernest S. Keeping (1895–1984), a British‐born physicist who became a mathematics professor at the University of Alberta in 1929. He played a pivotal role in shaping the university's Mathematics Department, serving as its head from 1954 to 1961, and continuing to teach until 1970, nine years ...
David R. Bellhouse, Christian Genest
wiley +1 more source
Development of a mixed-effects longitudinal spline regression method for growth data analysis. [PDF]
Bangsawang IL +2 more
europepmc +1 more source
Abstract Irregular observation times are common in longitudinal observational studies and can affect causal inferences. We use data from electronic health records of Kaiser Permanente Washington patients in the United States who initiated an antidepressant medication between 2008 and 2018, with a confirming diagnosis of depression. We are interested in
Janie Coulombe +2 more
wiley +1 more source
A Framework for the Estimation of Quality-Adjusted Life-Years Using Joint Models of Longitudinal and Survival Data. [PDF]
Crowther MJ +5 more
europepmc +1 more source
Marketing authorizations for oncology drugs are often based on single‐arm trials (SATs), and real‐world data‐based external comparator cohorts (ECCs) are increasingly explored to contextualize results. In retrospective studies, comparators may be identified by time of diagnosis but included based on time of relapse; such sampling strategies can ...
Mikkel Runason Simonsen +6 more
wiley +1 more source
Causal effect on the number of life years lost due to a specific event: average treatment effect and variable importance. [PDF]
Ziersen SC, Martinussen T.
europepmc +1 more source

