System disruptions
We are currently experiencing disruptions on the search portals due to high traffic. We are working to resolve the issue, you may temporarily encounter an error message.
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Alignment and overall strategy for the handling of in silico methods in human health assessment of plant protection products in the Northern Zone
Number of Authors: 3
Responsible organisation
2025 (English)Report (Other academic)
Abstract [en]

A joint workshop on Alignment and overall strategy for the handling of in silico methods in human health assessment of plant protection products in the Northern Zone was organised in 2024. To avoid animal testing, computer models (in silico models) are sometimes used to predict the toxicity of unknown chemicals based on data from similar chemicals. Together with other non-animal approaches, in silico methods are a part of next generation risk assessment. However, assessing pitfalls and weighing the applicability and quality of in silico predictions may be challenging for regulatory use. The focus of the workshop was on the newly published OECD (Q)SAR framework (QAF) and its applicability in a regulatory setting. The new framework facilitates the assessment of in silico methods for regulatory risk assessors and makes in silico data more accessible. 

Place, publisher, year, edition, pages
Copenhagen: Nordisk Ministerråd, 2025. , p. 9
Series
Nordiske Arbejdspapirer ; 2025:902
National Category
Natural Sciences
Research subject
Education and Research; Environment and Climate; European Union; The Baltic Region; Chemicals; Food; Sustainable development
Identifiers
URN: urn:nbn:se:norden:org:diva-13487DOI: 10.6027/NA2025-902OAI: oai:DiVA.org:norden-13487DiVA, id: diva2:1936070
Available from: 2025-02-10 Created: 2025-02-10 Last updated: 2025-02-10

Open Access in DiVA

Download PDF(401 kB)78 downloads
File information
File name FULLTEXT01.pdfFile size 401 kBChecksum SHA-512
00d557742b3c9fce965aec4a2475d5c535d4213e05554206a6b5303e06c95b91e67bc10d59373af08e595e4b1d44d61d69dcd00ce4dcc0bc34af41db1d7d6f35
Type fulltextMimetype application/pdf

Other links

Publisher's full text
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 78 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 377 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf