The rapid development of machine learning (ML) models has enabled the analyses of large datasets for predictive and confirmatory analytics. Pairing ML with images of diagnostic test kit results and/or raw data outputs from a device have provided new ways to detect targets of interest for food safety applications.
We are looking for a partner to develop ML models for datasets that are provided by our organization. The data sets may be images of diagnostic test kit results, digital readouts from a device or other output. The model should be able to effectively identify the result of an event with accuracy equal to a gold standard test.
The Q&A is now closed.