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Accurate Mapping of Human Travel Patterns with Global Smartphone Data

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Research
19 May 2020
Understanding people's short- and long-distance travel patterns can inform economic development, urban planning, and responses to natural disasters, wars and conflicts, disease outbreaks like the COVID-19 pandemic, and more. A new global mapping method, developed by scientists from Boston Children's Hospital and the University of Oxford, provides global estimates of human mobility at much greater resolution than was possible before.
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High Five! It's Possible to Create Proximity Online

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Research
18 May 2020
Despite physical distance, it's possible to create proximity between family members located in different places. This is according to a study from Linköping University that has investigated how video calls bring family members together. The results show that proximity in video calls is established mainly by way of the body and the senses, e.g. by giving a digital high five.
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New AI Diagnostic can Predict COVID-19 without Testing

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Research
15 May 2020
Researchers at King's College London, Massachusetts General Hospital and health science company ZOE have developed an artificial intelligence diagnostic that can predict whether someone is likely to have COVID-19 based on their symptoms. Their findings are published today in Nature Medicine.
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The COVID-19 pandemic reveals the potential of telehealth to improve care

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Research
13 May 2020
Two new articles provide insights on the use of telehealth or virtual care in the age of COVID-19 and beyond, pointing to its value to not only prevent contagious diseases but also to provide access to effective and equitable care.

In a Nature Partner Journal's Digital Medicine perspective, Lee H. Schwamm, MD, Director of the Center for TeleHealth at Massachusetts General Hospital and Vice President of Virtual Care at Partners Healthcare, and his colleagues stress that virtual care, by collapsing the barriers of time and distance, is ideal for providing care that is patient-centered, lower cost, more convenient and with greater productivity than traditional methods for delivering care, especially during a pandemic.

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Supercomputer Simulations Present Potential Active Substances Against Coronavirus

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Research
05 May 2020
Several drugs approved for treating hepatitis C viral infection were identified as potential candidates against COVID-19, a new disease caused by the SARS-CoV-2 coronavirus. This is the result of research based on extensive calculations using the MOGON II supercomputer at Johannes Gutenberg University Mainz (JGU). One of the most powerful computers in the world,
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Telemedicine Transforms Response to COVID-19 Pandemic in Disease Epicenter

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Research
04 May 2020
A rapid increase in "virtual" visits during the COVID-19 pandemic could transform the way physicians provide care in the United States going forward, according to a new study led by researchers from NYU Grossman School of Medicine.

The findings, published online in the Journal of the American Informatics Association, captures the largest experience to date of the speed, scale and rapid expansion of video-enabled visits by patients and providers in varied and diverse settings.

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Cancer Care Model could Help Us Cope with COVID-19

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Research
27 April 2020
As the UK government looks for an exit strategy to Britain's COVID-19 lockdown a nanomedicine expert from The University of Manchester believes a care model usually applied to cancer patients could provide a constructive way forward.

Kostas Kostarelos, is Professor of Nanomedicine at The University of Manchester and is leading the Nanomedicine Lab, which is part of the National Graphene Institute and the Manchester Cancer Research Centre.

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More eHealth News ...

  1. Electronic Skin Fully Powered by Sweat can Monitor Health
  2. Stabilizing Brain-Computer Interfaces
  3. Smartphone Application for Coronavirus Contact Tracing
  4. World-First Breakthrough in Ventilator Splitting
  5. Social Media can Forecast Economic Impact of Disasters Including COVID-19 Pandemic
  6. Successful Online Management of COVID-19 Infection
  7. Experimental AI Tool Predicts which COVID-19 Patients Develop Respiratory Disease
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