Improving Tuberculosis Monitoring with Deep Learning
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NVIDIA1.78 млн
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05.06.23 – 5 2581:18Опубликовано 12 октября 2020, 19:40
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: nvda.ws/3dja7vb
#healthcare #AI
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: nvda.ws/3dja7vb
#healthcare #AI
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