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pro vyhledávání: '"Daxuan Deng"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Studying survivorship and causes of death in patients with advanced or metastatic cancer remains an important task. We characterize the causes of death among patients with metastatic cancer, across 13 cancer types and 25 non-cancer causes an
Externí odkaz:
https://doaj.org/article/9c0786bfef25455b916deb684d6d526a
Publikováno v:
Partial Differential Equations in Applied Mathematics, Vol 5, Iss , Pp 100280- (2022)
Spatiotemporal dynamics of many natural processes, such as elasticity, heat propagation, sound waves, and fluid flows are often modeled using partial differential equations (PDEs). Certain types of PDEs have closed-form analytical solutions, some per
Externí odkaz:
https://doaj.org/article/8a3c61c2f2f04097bee0a26953481086
Publikováno v:
Partial differential equations in applied mathematics : a spin-off of Applied Mathematics Letters. 5
Spatiotemporal dynamics of many natural processes, such as elasticity, heat propagation, sound waves, and fluid flows are often modeled using partial differential equations (PDEs). Certain types of PDEs have closed-form analytical solutions, some per
Autor:
Rachel E Solnick, Rafael Cortes, Ethan Chang, Paul Dudas, Daxuan Deng, Cornelius Jamison, Okeoma Mmeje, Keith E. Kocher
BackgroundEmergency departments (EDs) are the primary source of healthcare for many patients diagnosed with sexually transmitted infections (STIs). Expedited partner therapy (EPT), treating the partner of patients with STIs without an exam of the par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c55f35924823ed7f659da2483a9e2a7
https://doi.org/10.1101/2023.04.01.23287999
https://doi.org/10.1101/2023.04.01.23287999
Autor:
Rongqian Zhang, Yupeng Zhang, Yuyao Liu, Yunjie Guo, Yueyang Shen, Daxuan Deng, Yongkai Joshua Qiu, Ivo D. Dinov
Publikováno v:
Neural Comput Appl
Many modern techniques for analyzing time-varying longitudinal data rely on parametric models to interrogate the time-courses of univariate or multivariate processes. Typical analytic objectives include utilizing retrospective observations to model c