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Improving Tuberculosis Monitoring with Deep Learning

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Despite being treatable, tuberculosis kills 1.6 million people every year.
This is because TB treatment is time- and cost-intensive, requiring extensive patient monitoring. Medical professionals review any number of patient samples a day, identifying and counting every single cell. This can take up to 40 minutes per case.

BacillAI is a solution by Cambridge Consultants, developed on the NVIDIA DGX POD reference architecture with NetApp storage, known as ONTAP AI, that can identify, count, and classify TB cells in a matter of minutes. A product like BacillAi could help clinicians determine the state of a patient’s health faster and more consistently than is currently possible. Patients would also have improved chances of fighting the disease.

Learn more: https://nvda.ws/3dja7vb

#healthcare #AI
NVIDIA, Healthcare, Prevention
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