Improving Tuberculosis Monitoring with Deep Learning

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 c