Results 221 to 230 of about 2,535,602 (380)

Acute cardiovascular effects associated with the use of prescription medications: A Danish nationwide screening study

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aim This study aims to conduct a hypothesis‐generating screening for acute cardiovascular effects of prescription medications. Methods This Danish nationwide screening study was conducted among incident cases of cardiovascular diseases, including myocardial infarction (MI), ischemic stroke (IS), heart failure (HF), venous thromboembolism (VTE),
Saad Hanif Abbasi, Lars Christian Lund, Jesper Hallas, Martin Thomsen Ernst, Anton Pottegård   +4 more
wiley   +1 more source

A Semiparametric Bayesian Multivariate Model for Survival Probabilities After Acute Myocardial Infarction [PDF]

, 2013
Elena Prandoni, Alessandra Guglielmi, Francesca Ieva, Anna Maria Paganoni   +3 more
openalex   +1 more source

A Comprehensive Model for Separating Systematic Bias and Noise in Metabolomic Timecourse Data—A Nonlinear B‐Spline Mixed‐Effects Approach

Biotechnology and Bioengineering, EarlyView.
A nonlinear B‐spline mixed effects model for the simultaneous detection and correction of systematic error in timecourse metabolomics data. Systematic errors–such as those from dilution or incomplete extraction–affect all metabolites similarly and can be corrected by fitting all metabolites together in a single model.
Kathy Sharon Isaac, Stanislav Sokolenko
wiley   +1 more source

Bayesian Generalized Probability Calculus for Density Matrices

, 2009
Manfred K. Warmuth, Dima Kuzmin
openalex   +2 more sources

Neural electrodes for brain‐computer interface system: From rigid to soft

BMEMat, EarlyView.
Here, we review the development trends of neural electrodes in BCI. This paper highlights the critical role of electrodes in BCI systems, analyzes the limitations of rigid electrodes, and introduces various flexible electrodes. Furthermore, we discuss application scenarios and prospects of BCI electrode technology, aiming to provide valuable references
Dan Yang, Gongwei Tian, Jianhui Chen, Yan Liu, Esha Fatima, Jichuan Qiu, Nik Ahmad Nizam Nik Malek, Dianpeng Qi   +7 more
wiley   +1 more source

Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive Bayesian classification

, 2011
Geoffrey I. Webb, Janice R. Boughton, Fei Zheng, Kai Ming Ting, Houssam Salem   +4 more
openalex   +1 more source

The utility of Bayesian predictive probabilities for interim monitoring of clinical trials [PDF]

, 2014
Benjamin R. Saville, Jason T. Connor, Gregory D. Ayers, JoAnn Alvarez   +3 more
openalex   +1 more source

Artificial intelligence‐assisted design, synthesis and analysis of smart biomaterials

BMEMat, EarlyView.
Smart biomaterials are rapidly emerging as tools for tissue engineering, and artificial intelligence has played essential roles in biomaterial studies. By bridging the literature gap in AI‐based design, synthesis and analysis of smart biomaterials, the current review shares perspectives on how biomaterial scientists can practically incorporate AI for ...
Pengfei Jiang, Yefei Dai, Yujun Hou, Joshua Stein, Shichen Steven Lin, Chaochen Zhou, Yannan Hou, Rongrong Zhu, Ki‐Bum Lee, Letao Yang   +9 more
wiley   +1 more source

Analysis of Ruddlesden‐Popper and Dion‐Jacobson 2D Lead Halide Perovskites Through Integrated Experimental and Computational Analysis

Battery Energy, Volume 4, Issue 2, March 2025.
Optimized ML framework for predicting RP and Dj phases in perovskite solar cells. ABSTRACT Two‐dimensional (2D) lead halide perovskites (LHPs) have captured a range of interest for the advancement of state‐of‐the‐art optoelectronic devices, highly efficient solar cells, next‐generation energy harvesting technologies owing to their hydrophobic nature ...
Basir Akbar, Kil To Chong, Hilal Tayara
wiley   +1 more source

Ten quick tips to get you started with Bayesian statistics. [PDF]

PLoS Comput Biol
Gimenez O, Royle A, Kéry M, Nater CR.
europepmc   +1 more source