Gene expression data from 537 patients

Gene expression data from 537 patients 846 x 226

NeoPulse®’s training configuration

  • Input: 20,531 gene expression data
    Output: the probability of cancer
  • Number of generated models: 4
  • The architecture of Deep Learning algorithm: auto


A lung carcinoma diagnostics model with high performance was built, using gene expression data.

  • Some models showed 100% accuracy with test data
  • AUC score: 0.97 ± 0.053

Confusion matrix

Lung cancer diagnostics 1102x1000


Lung cancer diagnostics ROC 1076 x 746
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Seong-jin Kim
Hyundai Elevator

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.

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Serena Miran
Megazone Cloud

Everybody seems confident in AI, and they actually enjoy solving various AI problems.

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Balachandran Rajendran
Dell, Unstructured Data Solutions

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.

Our latest research work with Stanford University

Deep learning detection of prostate cancer recurrence with 18F-FACBC (fluciclovine, Axumin®) positron emission tomography

automagically transform raw data into intelligence


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