Zobrazeno 1 - 7
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pro vyhledávání: '"Dorota Młynarczyk"'
Autor:
Dorota Młynarczyk, Pedro Puig, Carmen Armero, Virgilio Gómez-Rubio, Joan F. Barquinero, Mònica Pujol-Canadell
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-8 (2022)
Abstract To predict the health effects of accidental or therapeutic radiation exposure, one must estimate the radiation dose that person received. A well-known ionising radiation biomarker, phosphorylated $$\gamma $$ γ -H2AX protein, is used to eval
Externí odkaz:
https://doaj.org/article/70a23331d17648f9bd6db97c09dd7fa7
Publikováno v:
Mathematics, Vol 9, Iss 5, p 577 (2021)
The analysis of population-wide datasets can provide insight on the health status of large populations so that public health officials can make data-driven decisions. The analysis of such datasets often requires highly parameterized models with diffe
Externí odkaz:
https://doaj.org/article/9ec464b0fb414e038f0a8c2e95590285
Autor:
Dorota, Młynarczyk, Pedro, Puig, Carmen, Armero, Virgilio, Gómez-Rubio, Joan F, Barquinero, Mònica, Pujol-Canadell
Publikováno v:
Scientific reports. 12(1)
To predict the health effects of accidental or therapeutic radiation exposure, one must estimate the radiation dose that person received. A well-known ionising radiation biomarker, phosphorylated [Formula: see text]-H2AX protein, is used to evaluate
Autor:
Dorota Młynarczyk, Pedro Puig, Carmen Armero, Virgilio Gómez-Rubio, Joan F. Barquinero, Mònica Pujol-Canadell
To predict the health effects of accidental or therapeutic radiation exposure, one must estimate the radiation dose that person received. A well-known ionising radiation biomarker, phosphorylated $$\gamma $$ γ -H2AX protein, is used to evaluate cell
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d02defb6d3430a748c14282a5e7f7fb
https://ddd.uab.cat/record/269175
https://ddd.uab.cat/record/269175
Publikováno v:
Mathematics, Vol 9, Iss 577, p 577 (2021)
Mathematics; Volume 9; Issue 5; Pages: 577
Mathematics; Volume 9; Issue 5; Pages: 577
The analysis of population-wide datasets can provide insight on the health status of large populations so that public health officials can make data-driven decisions. The analysis of such datasets often requires highly parameterized models with diffe
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