ILSI entities around the world publish scientific articles on original research, literature reviews and gap analyses, as well as meeting proceedings in peer-reviewed journals and publications. Not one of the 1,000+ articles that ILSI has published over the last 45 years has ever been retracted. ILSI also publishes books, monographs, white papers, other scientific reports, annual reports and newsletters.
ILSI's flawless scientific publication track record, its commitment to the highest scientific standards and its adherence to rigorous scientific principles demonstrate its scientific integrity.
ILSI's publications are listed below by publication date, from the newest article to the oldest. You can also filter the list by title or publication type.
Publication Date
Oldest to Newest
Outlook and Challenges of Nanotechnologies for Food Packaging
2016
- ILSI Europe
The High Prevalence of Anemia in Cambodian Children and Women Cannot Be Satisfactorily Explained by Nutritional Deficiencies or Hemoglobin Disorders
Nutrients, 2016
- ILSI Southeast Asia Region
This article was published in the Nutrients, 2016, 8(6):348. doi:3390/ nu8060348.
Development of a construct-based risk assessment framework for genetic engineered crops
Transgenic Research, 2016
Discussion of a science-based evaluation approach for transformation events with “identical or similar constructs.”
Development of a Publicly Available, Comprehensive Database of Fiber and Health Outcomes: Rationale and Methods.
PloS one, 2016
This paper summarizes the rationale, methodology, and resulting database listing studies testing fiber and physiological health outcomes iden- tified by experts at the Ninth Vahouny Conference.
Considerations when using longitudinal cohort studies to assess dietary exposure to inorganic arsenic and chronic health outcomes
Food and Chemical Toxicology, 2016
The primary limiting factor in longitudinal studies is incomplete data on inorganic arsenic levels in foods combined with the aggregation of consumption of foods with varying arsenic levels into a single category, resulting in exposure misclassification.
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