Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Lloyd T Elliott"'
Autor:
Stephen M Smith, Lloyd T Elliott, Fidel Alfaro-Almagro, Paul McCarthy, Thomas E Nichols, Gwenaëlle Douaud, Karla L Miller
Publikováno v:
eLife, Vol 9 (2020)
Brain imaging can be used to study how individuals’ brains are aging, compared against population norms. This can inform on aspects of brain health; for example, smoking and blood pressure can be seen to accelerate brain aging. Typically, a single
Externí odkaz:
https://doaj.org/article/aec871cafe71411183c2a93996f14086
Autor:
Jonas Bambi, Hanieh Sadri, Ken Moselle, Ernie Chang, Yudi Santoso, Joseph Howie, Abraham Rudnick, Lloyd T. Elliott, Alex Kuo
Publikováno v:
BioMedInformatics, Vol 4, Iss 3, Pp 1884-1900 (2024)
Background: As patients interact with a healthcare service system, patterns of service utilization (PSUs) emerge. These PSUs are embedded in the sparse high-dimensional space of longitudinal cross-continuum health service encounter data. Once extract
Externí odkaz:
https://doaj.org/article/2c83e687207d4a1fad44b1a30009ce37
The effects of genetic and modifiable risk factors on brain regions vulnerable to ageing and disease
Autor:
Jordi Manuello, Joosung Min, Paul McCarthy, Fidel Alfaro-Almagro, Soojin Lee, Stephen Smith, Lloyd T. Elliott, Anderson M. Winkler, Gwenaëlle Douaud
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract We have previously identified a network of higher-order brain regions particularly vulnerable to the ageing process, schizophrenia and Alzheimer’s disease. However, it remains unknown what the genetic influences on this fragile brain netwo
Externí odkaz:
https://doaj.org/article/f392aeae61674a35ae9159c1f37dfbd2
Publikováno v:
Frontiers in Astronomy and Space Sciences, Vol 10 (2023)
Deep learning has increasingly been applied to supervised learning tasks in astronomy, such as classifying images of galaxies based on their apparent shape (i.e., galaxy morphology classification) to gain insight regarding the evolution of galaxies.
Externí odkaz:
https://doaj.org/article/750514d99533456488b162c0b29500d4
Publikováno v:
Journal of Agricultural, Biological and Environmental Statistics. 28:43-58
We address two computational issues common to open-population
Publikováno v:
Canadian Journal of Statistics. 50:734-750
Serology tests for SARS-CoV-2 provide a paradigm for estimating the number of individuals who have had an infection in the past (including cases that are not detected by routine testing, which has varied over the course of the pandemic and between ju
Publikováno v:
The Canadian Journal of Statistics
Asymptomatic and pauci‐symptomatic presentations of COVID‐19 along with restrictive testing protocols result in undetected COVID‐19 cases. Estimating undetected cases is crucial to understanding the true severity of the outbreak. We introduce a
Autor:
Shijia Wang, Shufei Ge, Benjamin Sobkowiak, Liangliang Wang, Louis Grandjean, Caroline Colijn, Lloyd T. Elliott
Publikováno v:
Journal of computational biology : a journal of computational molecular cell biology.
Even with daily case counts, the true scope of the COVID-19 pandemic in Canada is unknown due to undetected cases. We estimate the pandemic scope through a new multi-site model using publicly available disease count data including detected cases, rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb7f5c5628963f0ff94924fc1a1a01f1
https://doi.org/10.1101/2022.07.11.22277508
https://doi.org/10.1101/2022.07.11.22277508
Publikováno v:
Journal of Computational Biology
Genetic similarity is a measure for the genetic relatedness among individuals. The standard method for computing similarity matrices involves the inner product of observed genetic variant matrices. Such an approach is inaccurate or impossible if geno