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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The vendor’s services are integral to providing AI solutions for a wider audience. They had an effective project management style, accented by a quick working style.
AI is good at finding complex associations between data. It can explore not just individual factors that contribute to the problem but also investigate secondary and tertiary factors that can explain a condition. This ability makes AI particularly useful in Bioinformatics.