Pneumonia has emerged as a life-threatening complication of COVID-19, accounting for nearly half of all ラーメンベット 出金 銀行 who have died from the novel coronavirus in the U.S. since the beginning of the pandemic. Even before the onset of the COVID-19 pandemic, pneumonia was responsible for more than 43,000 deaths in 2019.
Monitoring pneumonia remains a challenge because it manifests itself differently in almost every patient and can develop in any patient infected by coronavirus. Led by the ラーメンベット 禁止ゲーム of ラーメンベット 出金 銀行 at The University of Texas at Austin, a team of engineers, data scientists and physicians have been awarded a grant from the National Science Foundation's ASCENT program to develop a wearable device for ラーメンベット 出金 銀行 with pneumonia that enables medical personnel to track their progress remotely and use data to predict how their condition may change.
This project combines state-of-the-art technology across wearable devices, integrated circuits and machine learning. And the larger goal is to develop ways to safely monitor ラーメンベット 出金 銀行 remotely and maintain high-quality care, wherever they are.
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Parag Jain, a pediatric critical care physician at Texas Children’s Hospital and assistant professor of pediatrics at Baylor College of Medicine, will lead a clinical trial of the device. Using deep machine learning techniques, he will develop algorithms that can predict the progression of pneumonia using historical data. Once a prototype device is ready, likely in two to three years, the team will test it on 20 ラーメンベット 出金 銀行 at Texas Children’s Hospital, aged 13 to 18 years, with progressive pneumonia.
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"The pandemic really exposed gaps in care that ラーメンベット 出金 銀行 with severe disease have to be treated using bulky, constrained, conventional monitors," Lu said. "We need sensors with ‘brains’ that can tell doctors when the time is right for that critical intervention, whether the patient is in a hospital bed just a few steps away or in their own home."
