The ILSI Research Foundation disseminates science through publications. Use the filter option to view publications by date, title, and type. To clear the filter, click reset.
This summary publication captures the findings from four African consultations organized by the New Partnership for Africa’s Development (NEPAD) to identify risk hypotheses and data needs for future environmental risk assessment of gene drives in the mosquito Anopheles gambiae.
The need for functional risk assessment bodies in general, and in the biosafety field in particular, demands continued efforts and commitment from regulatory agencies, if results that are sustainable in time are to be achieved. Dr. Carmen Vicién, ILSI Research Foundation in-country partner, was a co-author of this paper, which references the ILSI Research Foundation’s involvement in the Partnership for Biosafety Risk Assessment and Regulation in Paraguay and the use of ILSI Research Foundation eLearning courses in Kenya.
This article attempts to develop a framework that would enable assessment of the impacts of plant diseases, referred collectively to as crop health, on food security via its components. Given the number of components and interactions at play, a systems modelling approach is required to address the functioning of food systems exposed to plant disease risks.
Reducing the incidence of malaria has been a public health priority for nearly a century. However, before new technologies and associated vector control strategies can be developed and exploited, it will be necessary to understand and assess the likelihood of any potential harms to humans or the environment. To begin this process, the Foundation for the National Institutes of Health and the ILSI Research Foundation organized an expert workshop to consider the potential risks related to the use of gene drives in Anopheles gambiae for malaria control in Africa.
The International Life Sciences Institute Crop Composition Database (ILSI-CCDB) Version 5 was released to the public in October 2014, and is an open-access source of comprehensive nutritional composition data for six conventionally bred crops (canola, cotton, field corn, rice, soybean, and sweet corn). This article focuses on the improvements to the database through Version 5, including increased utility and ease of use that provides a high quality representation of variability in crop nutritional composition.