In this episode, Grace Kitzmiller of AWS and Dr. Michael Snyder of Stanford University’s School of Medicine discuss AWS’ Diagnostic Development Initiative (DDI), a two-year, $20 million commitment that uses cloud computing to scale up diagnostic innovations.
In the wake of the pandemic, Stanford University School of Medicine’s Healthcare Innovation Lab developed a smartwatch-enabled alarm system powered by AWS cloud, designed for early detection of COVID-19 by identifying increased heart rates prior to the infection. Dr. Snyder explains how the application works by pulling heart rate information from the smartwatch, applying an early detection algorithm, and pushes back the signal to a smartphone to set off alerts for possible infections.
Grace shares three gaps that AWS strives to address through the Diagnostic Development Initiative: accurate detection, reprioritization of diagnostic research, and scaling up computing power for machine learning and analytics. Take a listen.
Note: Those interested in participating in the Stanford COVID-19 wearables study can sign up here. Developers interested in the AWS Diagnostic Development Initiative program can apply here.
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By Rohit Mahajan
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In this episode, Grace Kitzmiller of AWS and Dr. Michael Snyder of Stanford University’s School of Medicine discuss AWS’ Diagnostic Development Initiative (DDI), a two-year, $20 million commitment that uses cloud computing to scale up diagnostic innovations.
In the wake of the pandemic, Stanford University School of Medicine’s Healthcare Innovation Lab developed a smartwatch-enabled alarm system powered by AWS cloud, designed for early detection of COVID-19 by identifying increased heart rates prior to the infection. Dr. Snyder explains how the application works by pulling heart rate information from the smartwatch, applying an early detection algorithm, and pushes back the signal to a smartphone to set off alerts for possible infections.
Grace shares three gaps that AWS strives to address through the Diagnostic Development Initiative: accurate detection, reprioritization of diagnostic research, and scaling up computing power for machine learning and analytics. Take a listen.
Note: Those interested in participating in the Stanford COVID-19 wearables study can sign up here. Developers interested in the AWS Diagnostic Development Initiative program can apply here.
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