Academic Journal
NIAID Biodosimetry Strategic Plan.
| Title: | NIAID Biodosimetry Strategic Plan. |
|---|---|
| Corporate Authors: | NIAID Staff and Biodosimetry Blue Ribbon Panel Participants |
| Source: | Radiation research [Radiat Res] 2026 Feb 09; Vol. 205 (2), pp. 199-205. Date of Electronic Publication: 2026 Feb 09. |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: Radiation Research Society Country of Publication: United States NLM ID: 0401245 Publication Model: Electronic Cited Medium: Internet ISSN: 1938-5404 (Electronic) Linking ISSN: 00337587 NLM ISO Abbreviation: Radiat Res Subsets: MEDLINE |
| Imprint Name(s): | Publication: Bozeman, MT : Radiation Research Society Original Publication: Charlottesville, VA : Kluge Carden Jennnings Pub. Co. |
| MeSH Terms: | Radiometry*/methods , National Institute of Allergy and Infectious Diseases (U.S.)* , Strategic Planning*, Humans ; United States ; National Institutes of Health (U.S.) ; Radioactive Hazard Release |
| Abstract: | In the face of emerging threats from natural disasters, nuclear accidents, and potential malicious use of radiation, the National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH) has created the "2024 NIH Strategic Plan and Research Agenda for Development of Radiation Biodosimetry Approaches Against Radiological and Nuclear Threats." This document represents a collaborative effort among leading experts in radiation biology, biomarkers, biodosimetry, and emergency response to address critical challenges in assessing radiation exposure and its potential health effects. Radiation biodosimetry, the science of determining radiation doses absorbed by individuals or using biological markers to predict health outcomes, is a cornerstone of effective medical management of patients following a radiological or nuclear incident. Accurate and timely biodosimetry is essential for identifying individuals in need of medical intervention, optimizing treatment strategies, and allocating resources efficiently. Building on and expanding the scope of the research originally envisioned for the overall program (as outlined in the original 2005 NIH Strategic Plan which was updated in a 2012 Progress Report), this 2024 document is devoted specifically to radiation biodosimetry. This Strategic Plan endeavors to outline a comprehensive framework to advance the field of radiation biodosimetry, encompassing basic and translational research, technology development, operational strategies, and implementation of cutting-edge artificial intelligence and machine learning modalities. Key components of this Strategic Plan include enhancing understanding of radiation-induced biological effects, developing novel biodosimetry methods, and fostering collaborations to enhance the translation of research findings into practical applications. By investing in basic through translational research, NIAID aims to accelerate the development of biodosimetry tools that are reliable, rapid, and accessible to a broad range of stakeholders, including emergency responders, healthcare providers, and the general public. The 2024 NIAID Strategic Plan and Research Agenda for Radiation Biodosimetry reflects a commitment to promoting public health preparedness and resilience in the face of radiological emergencies. The strategies outlined in this document will facilitate significant progress in radiation biodosimetry, ultimately improving our ability to protect and care for individuals affected by radiation exposure by enhancing our nation's preparedness for nuclear and radiological emergencies and reducing the impact of these incidents on public health. |
| Entry Date(s): | Date Created: 20251220 Date Completed: 20260209 Latest Revision: 20260209 |
| Update Code: | 20260210 |
| DOI: | 10.1667/RADE-25-00178.1 |
| PMID: | 41421381 |
| Database: | MEDLINE |
| FullText | Text: Availability: 0 |
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| Header | DbId: cmedm DbLabel: MEDLINE An: 41421381 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: NIAID Biodosimetry Strategic Plan. – Name: AuthorCorporate Label: Corporate Authors Group: Au Data: <searchLink fieldCode="CA" term="%22NIAID+Staff+and+Biodosimetry+Blue+Ribbon+Panel+Participants%22">NIAID Staff and Biodosimetry Blue Ribbon Panel Participants</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220401245%22">Radiation research</searchLink> [Radiat Res] 2026 Feb 09; Vol. 205 (2), pp. 199-205. <i>Date of Electronic Publication: </i>2026 Feb 09. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: Language Label: Language Group: Lang Data: English – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Radiation+Research+Society%22">Radiation Research Society </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0401245 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1938-5404 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200337587%22">00337587 </searchLink><i>NLM ISO Abbreviation: </i>Radiat Res <i>Subsets: </i>MEDLINE – Name: PublisherInfo Label: Imprint Name(s) Group: PubInfo Data: <i>Publication</i>: Bozeman, MT : Radiation Research Society<br /><i>Original Publication</i>: Charlottesville, VA : Kluge Carden Jennnings Pub. Co. – Name: SubjectMESH Label: MeSH Terms Group: Su Data: <searchLink fieldCode="MM" term="%22Radiometry%22">Radiometry*</searchLink>/<searchLink fieldCode="MM" term="%22Radiometry+methods%22">methods</searchLink> <br /><searchLink fieldCode="MM" term="%22National+Institute+of+Allergy+and+Infectious+Diseases+%28U%2ES%2E%29%22">National Institute of Allergy and Infectious Diseases (U.S.)*</searchLink> <br /><searchLink fieldCode="MM" term="%22Strategic+Planning%22">Strategic Planning*</searchLink><br /><searchLink fieldCode="MH" term="%22Humans%22">Humans</searchLink> ; <searchLink fieldCode="MH" term="%22United+States%22">United States</searchLink> ; <searchLink fieldCode="MH" term="%22National+Institutes+of+Health+%28U%2ES%2E%29%22">National Institutes of Health (U.S.)</searchLink> ; <searchLink fieldCode="MH" term="%22Radioactive+Hazard+Release%22">Radioactive Hazard Release</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In the face of emerging threats from natural disasters, nuclear accidents, and potential malicious use of radiation, the National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH) has created the "2024 NIH Strategic Plan and Research Agenda for Development of Radiation Biodosimetry Approaches Against Radiological and Nuclear Threats." This document represents a collaborative effort among leading experts in radiation biology, biomarkers, biodosimetry, and emergency response to address critical challenges in assessing radiation exposure and its potential health effects. Radiation biodosimetry, the science of determining radiation doses absorbed by individuals or using biological markers to predict health outcomes, is a cornerstone of effective medical management of patients following a radiological or nuclear incident. Accurate and timely biodosimetry is essential for identifying individuals in need of medical intervention, optimizing treatment strategies, and allocating resources efficiently. Building on and expanding the scope of the research originally envisioned for the overall program (as outlined in the original 2005 NIH Strategic Plan which was updated in a 2012 Progress Report), this 2024 document is devoted specifically to radiation biodosimetry. This Strategic Plan endeavors to outline a comprehensive framework to advance the field of radiation biodosimetry, encompassing basic and translational research, technology development, operational strategies, and implementation of cutting-edge artificial intelligence and machine learning modalities. Key components of this Strategic Plan include enhancing understanding of radiation-induced biological effects, developing novel biodosimetry methods, and fostering collaborations to enhance the translation of research findings into practical applications. By investing in basic through translational research, NIAID aims to accelerate the development of biodosimetry tools that are reliable, rapid, and accessible to a broad range of stakeholders, including emergency responders, healthcare providers, and the general public. The 2024 NIAID Strategic Plan and Research Agenda for Radiation Biodosimetry reflects a commitment to promoting public health preparedness and resilience in the face of radiological emergencies. The strategies outlined in this document will facilitate significant progress in radiation biodosimetry, ultimately improving our ability to protect and care for individuals affected by radiation exposure by enhancing our nation's preparedness for nuclear and radiological emergencies and reducing the impact of these incidents on public health. – Name: DateEntry Label: Entry Date(s) Group: Date Data: <i>Date Created: </i>20251220 <i>Date Completed: </i>20260209 <i>Latest Revision: </i>20260209 – Name: DateUpdate Label: Update Code Group: Date Data: 20260210 – Name: DOI Label: DOI Group: ID Data: 10.1667/RADE-25-00178.1 – Name: AN Label: PMID Group: ID Data: 41421381 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1667/RADE-25-00178.1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 199 Subjects: – SubjectFull: Humans Type: general – SubjectFull: United States Type: general – SubjectFull: National Institutes of Health (U.S.) Type: general – SubjectFull: Radioactive Hazard Release Type: general – SubjectFull: Radiometry methods Type: general – SubjectFull: National Institute of Allergy and Infectious Diseases (U.S.) Type: general – SubjectFull: Strategic Planning Type: general Titles: – TitleFull: NIAID Biodosimetry Strategic Plan. Type: main BibRelationships: IsPartOfRelationships: – BibEntity: Dates: – D: 09 M: 02 Text: 2026 Feb 09 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1938-5404 Numbering: – Type: volume Value: 205 – Type: issue Value: 2 Titles: – TitleFull: Radiation research Type: main |
| ResultId | 1 |