Testing

A Particle-Based COVID-19 Simulator with Contact Tracing and Testing
Author(s)3: Askat Kuzdeuov, Aknur Karabay, Daulet Baimukashev, Bauyrzhan Ibragimov, Huseyin Atakan Varol
A Particle-Based COVID-19 Simulator with Contact Tracing and Testing 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

Goal: The COVID-19 pandemic has emerged as the most severe public health crisis in over a century. As of January 2021, there are more than 100 million cases and 2.1…

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Hand-held zoom micro-imaging system based on microfluidic chip for point-of-care testing (POCT) of vaginal inflammation
Author(s)3: Ning Yang, Jingxin Peng, Liang Wu, Xue Han, Naila Shaheen, Xiaobo Zou
Hand-held zoom micro-imaging system based on microfluidic chip for point-of-care testing (POCT) of vaginal inflammation 1050 574 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

Background: Vaginitis is a common and very private disease, and the current diagnosis is a frequent go to the hospital for testing. Objective: In order to improve the convenience and…

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Pathologic blood samples tolerate exposure to vibration and high turbulence in simulated drone flights, but plasma samples should be centrifuged after flight.
Author(s)3: Karl Arne Johannessen, Nina Kristin Steen Wear, Karin Toska, Morten Hansbø, Jens Petter Berg, Erik Fosse
Pathologic blood samples tolerate exposure to vibration and high turbulence in simulated drone flights, but plasma samples should be centrifuged after flight. 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

Abstract: Most of the previous studies of drone transport of blood samples examined normal blood samples transported under tranquil air conditions. We studied the effects of 1- and 2-hour drone…

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COVID-19 Artificial Intelligence Diagnosis using only Cough Recordings
Author(s)3: Jordi Laguarta, Ferran Hueto, Brian Subirana
COVID-19 Artificial Intelligence Diagnosis using only Cough Recordings 200 200 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
We hypothesized that COVID-19 subjects, especially including asymptomatics, could be accurately discriminated only from a forced-cough cell phone recording using Artificial Intelligence. To train our MIT Open Voice model we built a data collection pipeline of COVID-19 cough recordings through our website (opensigma.mit.edu) between April and May 2020 and created the largest audio COVID-19 cough balanced dataset reported to date with 5,320 subjects. read more

Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?
Author(s)3: Catherine P. Adans-Dester, Stacy Bamberg, Francesco Bertacchi, Brian Caulfield, Kara Chappie, Danilo Demarchi, M. Kelley Erb, Juan Estrada, Eric Fabara, Michael Freni, E. Karl Friedl, Roozbeh Ghaffari, Geoffrey Gill, Mark S. Greenberg, Reed W. Hoyt, Emil Jovanov, Christoph Kanzler, Dina Katabi, Meredith Kernan, Colleen Kigin, Sunghoon Ivan Lee, Steffen Leonhardt, Nigel Hamilton Lovell, Jose Mantilla, Thomas H. McCoy, Nell Meosky Luo, Glenn A. Miller, John Moore, Derek O'Keeffe, Jeffrey Palmer, Federico Parisi, Shyamal Patel, Ming Jack Po, Benito L. Pugliese, Thomas Quatieri, Tauhidur Rahman, Nathan Ramasarma, John A. Rogers, Guillermo U. Ruiz-Esparza, Stefano Sapienza, Gregory Schiurring, Lee Schwamm, Hadi Shafiee, Sara Kelly Silacci, Nathaniel M. Sims, Tanya Talkar, William J. Tharion, James A. Toombs, Christopher Uschnig, Gloria Vergara, Paul Wacnik, May D. Wang, James Welch, Lina Williamson, Ross Zafonte, Adrian Zai, Yuan-Ting Zhang, Guillermo J. Tearney, Rushdy Ahmad, David R. Walt, Paolo Bonato
Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic? 200 200 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
The aim of the study herein reported was to review mobile health (mHealth) technologies and explore their use to monitor and mitigate the effects of the COVID-19 pandemic. read more
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