Assessing prediction models for food safety
Future-proofing food safety through science and insight
Summary
We partnered with a global food comapny to evaluate predictive models for risk across priority crops. Our structured research uncovered previously unknown models, assessed cutting-edge approaches, and identified potential academic and commercial partners. These insights informed critical decisions for the client’s research strategy and roadmap development.
Client challenge
As part of its strategy for predicting mycotoxin risks across priority crop-toxin pairs, our client needed:
- An assessment of predictive models available in published literature for key crops
- A review of potential partners, both commercial and academic, working in this space
Our approach
- Defined scope and relevant model types in collaboration with the client
- Conducted structured searches of academic literature to identify published models and related research
- Reviewed and assessed models, extracting key data to create a structured summary
- Identified potential collaboration partners through targeted searches
- Delivered a comprehensive report outlining state-of-the-art modelling and partnership opportunities
Client benefit
Our detailed assessment enabled the client to make critical decisions for their internal research strategy. The findings informed next steps, including roadmap development, model validation, and experimental design support, helping the client strengthen food safety and risk prediction capabilities.
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