Problem
Identification of biomarkers is very useful when investigating the efficacy of a new drug or intervention for a disease. The challenge is to match biomarkers to specific physiological states which is very time consuming and error prone.
Use Case
- Matching protein mass spectrometry data to specific biomarkers using deep learning
- Proteins are chosen because cells are not needed – it is possible to use biological fluids
How to Customize
- Dataset consisting of mass spectrometry data to targeted biomarkers
- Applicable to biotech, biochemistry, materials science, etc.
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