Amazon is powering the coronavirus diagnostics of the future. Here's how:
by one Wall Street analyst last year to be worth half a trillion dollars, offers a number of services to its customers, including storage, web hosting, and — of particular interest to researchers fighting the COVID-19 pandemic — machine learning applications. $20 million in cloud credits
Another participant is Beijing’s ETComm, which provides telemedicine services for medical institutions in China to remotely diagnose cardiovascular disease. The company completed more than 18,400 remote diagnoses of COVID-19 complications via its electrocardiogram reading platform built on AWS. Doctors at the University of California San Diego have received AWS credits for ausing artificial intelligence to speed up the diagnosis of pneumonia in COVID-19 patients based on chest x-rays.
The accuracy concerns in early accounts of COVID-19 lab tests “likely result from manufacturing and procedural failures,” says David Boyle, chief scientific officer and co-lead of the diagnostics program at global public health nonprofit PATH. Part of the problem is the speed at which some of the tests, which analyze for the presence of the virus in a patient sample, were fast-tracked by the federal government due to the nature of the crisis.
Back in Vancouver, Nicolaou and Parker hope that by matching patterns, such as the percentage of the lungs with the ground glass pattern, doctors could help better diagnose patients and link the severity of lung damage to different stages, from hospital admission to ventilation, and, in the worst case, death. The team is compiling what Nicolaou says will be the largest dataset of COVID-19 positive images from around the world.
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