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Utilization of AI/ML for image analyses of targets important to food safety
Food & nutritionWhat questions do you have about this RFP?
Get them answered by the team at the company.
Background
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.
What we're looking for
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.
Solutions of interest include:
- Machine Learning
- Artificial Intelligence
- Imaging
- Hyperspectral Imaging
- NIR or MIR
Our must-have requirements are:
- Provide examples of previous models that have been able to accurately detect or measure a target.
Acceptable technology readiness levels (TRL):
Levels 2-4
What we can offer you
Eligible partnership models:
Sponsored research
Gift (Unrestricted grant)
Benefits:
Sponsored Research
We are able to provide funding for model development with a general range of $100,000 to $250,000. Final funding amounts to be discussed at the appropriate stage of engagement.Gift (Unrestricted grant)
We are able to provide gifts for model development, funding amounts to be discussed at the appropriate stage of engagement.Compounds and Reagents
We will provide all standards needed for model development.Data
We will provide all materials and gold standard paired data for the initiative.Q&A with the company
The Q&A is now closed.
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Most upvoted
Q.
Can you provide any additional information about the datasets/description of inputs and output tasks?
CT
March 11, 2024
3
Is this response helpful?
0
0
A.
Yes, that is good! How can we go into the 1:1 discussion step?
CT
March 12, 2024
2
Q.
Is there an estimated timeline you can provide for this project?
CC
Christina Certo, Corporate Relations, University of Michigan, Ann Arbor
March 4, 2024
1
Q.
Would you be able to share any samples (or examples) from the data sets that investigators would be working with (sample data/images of diagnostic test kit results, sample digital readouts, etc.)?
BM
Brad Mallard, Corporate Relations, University of North Carolina, Chapel Hill
March 5, 2024
1
Q.
Are you also interested in an interactive dashboard or just the model?
RN
March 6, 2024
1
Q.
In which way can the applicant can get partial dataset (sample data and detailed problem description) for proposal preparation since information shown in this page is too general?
1
Q.
What database configuration is your data stored in? Has your data been scrubbed for outliers, or will this be part of the scope of work?
1
Is this response helpful?
0
0
Q.
Hi, I would also like to learn more about the data input to grasp the fidelity level of the data, for example large foreign object level or microbial level?
1
Q.
Is the data already collected/predetermined? Does the work include the co-design of data collection to ensure optimal inputs for the model? Could you provide more data on expected data consistency and quality?
LS
Luke Spencer, Research Development, University of Auckland
March 19, 2024
1
A.
Hi Luke. The data collection will occur concurrently with the project so that paired data may be analyzed. We can provide some preliminary data on non-paired samples for model development prior to paired experimentation. The data will be created by a gold-standard method with an anticipated 5-10% SD.
Is this response helpful?
0
0
Q.
Could you provide some more background information about what challenges led you to pursue this area of development?
1
Q.
Hi sir, Is there the model is specific for image pairing or numerical data regarding food quality or food security
1
Q.
Are you able to provide some hyperspectral images prior to submitting a proposal?
AH
April 3, 2024
1
Q.
If awarded, what's the expected start date?
1
Q.
Can you provide any additional information about the datasets/description of inputs and output tasks?
1
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