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.
Seong-jin Kim
Hyundai Elevator
CDO
We were able to successfully train an AI model to recognize complex industrial parts using Neopulse 3.0 on AWS. The AI solution was built very quickly and was able to recognize objects in unpredictable, real-world environments with high accuracy.
Serena Miran
Megazone Cloud
Manager
Everybody seems confident in AI, and they actually enjoy solving various AI problems.
Balachandran Rajendran
Dell, Unstructured Data Solutions
CTO
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.
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January 25, 2022