Application of multivariate modeling for radiation injury assessment: a proof of concept. - Wikidata - awgldk - TriplyDB

Application of multivariate modeling for radiation injury assessment: a proof of concept.

Application of multivariate modeling for radiation injury assessment: a proof of concept.

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Detection of Acute Radiation Sickness: A Feasibility Study in Non-Human Primates Circulating miRNAs for Triage in Radiological Events State-of-the-Art Advances in Radiation Biodosimetry for Mass Casualty Events Involving Radiation Exposure

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P2860

Application of multivariate modeling for radiation injury assessment: a proof of concept.

http://www.wikidata.org/entity/Q34073414

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2014 nî lūn-bûn

@nan

2014 թուականի Օգոստոսին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի օգոստոսին հրատարակված գիտական հոդված

@hy

2014年の論文

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2014年論文

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2014年論文

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2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

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2014年论文

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name

Application of multivariate modeling for radiation injury assessment: a proof of concept.

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Application of multivariate modeling for radiation injury assessment: a proof of concept.

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Application of multivariate modeling for radiation injury assessment: a proof of concept.

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type

label

Application of multivariate modeling for radiation injury assessment: a proof of concept.

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Application of multivariate modeling for radiation injury assessment: a proof of concept.

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Application of multivariate modeling for radiation injury assessment: a proof of concept.

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Application of multivariate modeling for radiation injury assessment: a proof of concept.

@ast

Application of multivariate modeling for radiation injury assessment: a proof of concept.

@en

Application of multivariate modeling for radiation injury assessment: a proof of concept.

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Computational and Mathematical Methods in Medicine

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Application of multivariate modeling for radiation injury assessment: a proof of concept.

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David J Sandgren

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David L Bolduc

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G David Ledney

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Rolf Bünger

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Vilmar Villa

http://www.w3.org/2001/XMLSchema#string

William F Blakely

http://www.w3.org/2001/XMLSchema#string

P2860

The Radiation Injury Severity Classification system: an early injury assessment tool for the frontline health-care provider

Gene expression signatures that predict radiation exposure in mice and humans

WHO-REMPAN for global health security and strengthening preparedness and response to radiation emergencies.

Post-irradiation approaches to treatment of radiation injuries in the context of radiological terrorism and radiation accidents: a review.

Gene expression signatures of radiation response are specific, durable and accurate in mice and humans.

Hematological changes as prognostic indicators of survival: similarities between Gottingen minipigs, humans, and other large animal models.

Diagnosis of partial body radiation exposure in mice using peripheral blood gene expression profiles.

Major radiation exposure--what to expect and how to respond.

Usefulness and limits of biological dosimetry based on cytogenetic methods.

Pathophysiological principles underlying the blood cell concentration responses used to assess the severity of effect after accidental whole-body radiation exposure: an essential basis for an evidence-based clinical triage.

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685286

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scholarly article

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10.1155/2014/685286

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2014

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2014-08-07T00:00:00Z

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