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Case Study

Developed an image classification model for quick clinical results

About the Client

An international provider of genomic services to the patients like next-gen sequencing, DNA sequencing

Client Need

  • Owing to sample contaminations one of the batches was being redone for COVID testing.​ The lab team was manually trying to identify such batches with contaminated samples.

Our Solution

  • Developed an image classification model to assist the manual lab efforts and predict the probability of a batch being redone for testing.


  • Predicted the probability of redoing a batch with desired values for accuracy and recall

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