Bayesian modeling of a medieval plague and famine mass graves from Sedlec-Kutná Hora, Czech Republic
Sign Up to like & getrecommendations! Published in 2025 at "Radiocarbon"
DOI: 10.1017/rdc.2025.18
Abstract: Abstract Plague and famine are two of the worst killers in human history. Both struck the Czech lands in the Middle Ages not long after each other (the famine of 1318 CE and the plague… read more here.
Keywords: mass graves; plague famine; mass; bayesian modeling ... See more keywords
Spatial Bayesian modeling of GLCM with application to malignant lesion characterization
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2018.1473348
Abstract: ABSTRACT The emerging field of cancer radiomics endeavors to characterize intrinsic patterns of tumor phenotypes and surrogate markers of response by transforming medical images into objects that yield quantifiable summary statistics to which regression and… read more here.
Keywords: modeling; bayesian modeling; spatial bayesian; application ... See more keywords
Bayesian modeling framework for optimizing pre-hospital stroke triage decisions
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2024.2360590
Abstract: Ischemic stroke is responsible for significant morbidity and mortality in the United States and worldwide. Stroke treatment optimization requires emergency medical personnel to make rapid triage decisions concerning destination hospitals that may differ in their… read more here.
Keywords: bayesian modeling; modeling framework; triage decisions; stroke ... See more keywords
Bayesian Modeling of Spatial Molecular Profiling Data via Gaussian Process.
Sign Up to like & getrecommendations! Published in 2021 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btab455
Abstract: MOTIVATION The location, timing, and abundance of gene expression (both mRNA and proteins) within a tissue define the molecular mechanisms of cell functions. Recent technology breakthroughs in spatial molecular profiling, including imaging-based technologies and sequencing-based… read more here.
Keywords: profiling data; modeling spatial; bayesian modeling; molecular profiling ... See more keywords
3 Hands-on 1: Applying Bayesian modeling to improve nutrient utilization in cattle.
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Animal Science"
DOI: 10.1093/jas/skaf300.087
Abstract: The ability to ask important questions and provide compelling answers will determine the impact of your scientific research. Bayes Theorem provides foundational principles for developing full mathematical expressions that incorporate process models, sampling methods, observational… read more here.
Keywords: improve nutrient; applying bayesian; bayesian modeling; modeling improve ... See more keywords
Bayesian Modeling of Gene Regulatory Networks in Colorectal Cancer Organoids.
Sign Up to like & getrecommendations! Published in 2025 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2025.3626430
Abstract: Colorectal cancer remains a pressing challenge in global health, necessitating advanced biological models and analytical methodologies. Tumor organoids (tumoroids) have emerged as a compelling platform for cancer research, owing to their capacity to replicate the… read more here.
Keywords: colorectal cancer; bayesian modeling; gene; gene regulatory ... See more keywords
Refining the chronology of North America’s copper using traditions: A macroscalar approach via Bayesian modeling
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0266908
Abstract: North America’s ancient copper use, predicted to originate as early as 9000 cal BP, represents the earliest use of native copper for utilitarian tool production in the world. Although recent work has focused on establishing… read more here.
Keywords: copper; copper using; north america; copper use ... See more keywords
Bayesian Modeling of Biomolecular Assemblies with Cryo-EM Maps
Sign Up to like & getrecommendations! Published in 2017 at "Frontiers in Molecular Biosciences"
DOI: 10.3389/fmolb.2017.00015
Abstract: A growing array of experimental techniques allows us to characterize the three-dimensional structure of large biological assemblies at increasingly higher resolution. In addition to X-ray crystallography and nuclear magnetic resonance in solution, new structure determination… read more here.
Keywords: modeling biomolecular; cryo maps; bayesian modeling; structure ... See more keywords
Vancomycin Area under the Concentration-Time Curve Estimation Using Bayesian Modeling versus First-Order Pharmacokinetic Equations: A Quasi-Experimental Study
Sign Up to like & getrecommendations! Published in 2022 at "Antibiotics"
DOI: 10.3390/antibiotics11091239
Abstract: Aim: To evaluate the efficiency of Bayesian modeling software and first-order pharmacokinetic (PK) equations to calculate vancomycin area under the concentration-time curve (AUC) estimations. Methods: Unblinded, crossover, quasi-experimental study at a tertiary care hospital for… read more here.
Keywords: software; order pharmacokinetic; time; first order ... See more keywords
Bayesian Modeling of COVID-19 to Classify the Infection and Death Rates in a Specific Duration: The Case of Algerian Provinces
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph19159586
Abstract: COVID-19 causes acute respiratory illness in humans. The direct consequence of the spread of the virus is the need to find appropriate and effective solutions to reduce its spread. Similar to other countries, the pandemic… read more here.
Keywords: modeling covid; infection; covid; bayesian modeling ... See more keywords
Large data and Bayesian modeling—aging curves of NBA players
Sign Up to like & getrecommendations! Published in 2019 at "Behavior Research Methods"
DOI: 10.3758/s13428-018-1183-8
Abstract: Researchers interested in changes that occur as people age are faced with a number of methodological problems, starting with the immense time scale they are trying to capture, which renders laboratory experiments useless and longitudinal… read more here.
Keywords: modeling aging; large data; bayesian modeling; data bayesian ... See more keywords