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.
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.
Everybody seems confident in AI, and they actually enjoy solving various AI problems.
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 Dynamics applied LRP to a cancer classification model, built on gene expression data, to identify a set of genes important for classifying cancer patients.
