Tanay Tandon of Athelas on the future of blood diagnostics using machine-learning

Analyzing a person’s blood (and the cells within it) is often used to diagnose many health conditions and illnesses, from infections to leukemia and bone marrow disorders. Generally it's a long and expensive process. You have to go to the doctor, have a sample taken, wait for a couple of days for a trained professional to analyze the blood, and finally get your diagnosis.

Athelas is using machine learning to dramatically improve the speed and efficiency of testing blood cells. From a simple finger prick’s worth of blood, Athelas devices can monitor and help healthcare professionals to remotely care for patients. To date over 40,000 people have used Athelas devices to monitor a range of conditions including hypertension and diabetes. With a recent valuation of $1.5B, the company is poised for major impact.

| SUBSCRIBE TO THE ROBOT BRAINS PODCAST TODAY | Visit therobotbrains.ai and follow us on YouTube at TheRobotBrainsPodcast, Twitter @therobotbrains, and Instagram @therobotbrains.

| Host: Pieter Abbeel | Executive Producers: Alice Patel & Henry Tobias Jones | Audio Production: Kieron Matthew Banerji | Title Music: Alejandro Del Pozo Hosted on Acast. See acast.com/privacy for more information.