problem
In 2017, an estimated 10 million incident TB cases and 1.6 million TB deaths occurred, representing reductions of 1.8% and 3.9% from 2016, respectively.
(Sources: CDC)
Annual tuberculosis incidence (per 100,000 population), by region — worldwide, 2017 (CDC)
use case
AI Dynamics developed TB diagnostics from routine blood test results using publicly available datasets. Our deep learning platform created AI model using age, gender, and 58 blood derived readings. Continuously adding data to the model will only help to optimize and improve it more with time.
Results
NeoPulse – TB model successfully predicted active TB with 88% accuracy, which is higher than existing model*.
- Input: 58 blood derived readings
- Output: Active TB or other
- Model: Deep Neural Network with 5 layers
(*Wu et al., 2019)
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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.
Read up on our latest blogs in the field of Bioinformatics
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Blood test-based active TB prediction model by NeoPulse for affordable diagnostics
November 2, 2021
What are the various applications of Artificial Intelligence in Bioinformatics?
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.
October 5, 2021