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Exploring tau protein and amyloid-beta propagation: A sensitivity analysis of mathematical models based on biological data

Brain Multiphysics(2024)10.1016/j.brain.2024.100098Source: DataRank Database

Exploring tau protein and amyloid-beta propagation: A sensitivity analysis of mathematical models based on biological data is a research paper published in Brain Multiphysics (2024). On theSindex it has a DataRank of 0. It has been cited 9 times.

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Open Access9 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (7 grants)OA: goldTopics (9)IDs (PubMed)SDGs (1)

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Authors (1)

Mattia Corti ORCID

Live enrichment

PubMed:38711430

National Institutes of Health

Grant: 5P01AG003991-38

Healthy Aging and Senile Dementia

European Commission

Grant: 101115663

NEw generation MEthods for numerical SImulationS

National Institutes of Health

Grant: 1P30AG066444-01

Alzheimer's Disease Research Center

National Institutes of Health

Grant: 4R01AG043434-05

DRIVING PERFORMANCE IN PRECLINICAL ALZHEIMER'S DISEASE

National Institutes of Health

Grant: 4UL1TR000448-10

Washington University Institute of Clinical and Translational Sciences

National Institutes of Health

Grant: 5P01AG026276-07

Antecedent Neuroimaging Biomarkers

National Institutes of Health

Grant: 5R01EB009352-03

THE XNAT IMAGING INFORMATICS PLATFORM

goldLicense: CC BY NC

publisherhttps://api.elsevier.com/content/article/PII:S2666522024000091?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2666522024000091?httpAccept=text/plain

https://doi.org/10.1016/j.brain.2024.100098

https://dx.doi.org/10.48550/arxiv.2404.14169

https://pubmed.ncbi.nlm.nih.gov/38711430

Fields of Study

0301 basic medicine03 medical and health sciences0302 clinical medicine

Keywords

FOS: Biological sciencesFOS: MathematicsMathematics - Numerical AnalysisNumerical Analysis (math.NA)Quantitative Biology - Quantitative MethodsQuantitative Methods (q-bio.QM)

Sustainable Development Goals

SDG 3: 3. Good health