C-19

The private laboratories which are testing the patients without any prescription should inform the positive patients first to the BMC about their result.

With 20,000 recordings collected in Delhi, engineers crank up efforts for an algorithm based on the idea that infection may be detected through tiny changes in how people speak

CyLab is Carnegie Mellon University's security and privacy research institute. We bring together experts from all schools across the University, encompassing the fields of engineering, computer science, public policy, information systems, business, humanities and social sciences.

Researchers at universities including Carnegie Mellon University, Harvard, and MIT are collecting voice data to train algorithms to diagnose COVID-19.

Help track Coronavirus in your area

Help track Coronavirus in your area

MIT Lincoln Laboratory researchers are detecting vocal changes in Covid-19 patients even when these changes are too subtle for people to hear or even notice in themselves.

Goal: We propose a speech modeling and signal-processing framework to detect and track COVID-19 through asymptomatic and symptomatic stages. Methods: The approach is based on complexity of neuromotor coordination across speech subsystems involved in respiration, phonation and articulation, motivated by the distinct nature of COVID-19 involving lower (i.e., bronchial, diaphragm, lower tracheal) versus upper (i.e., laryngeal, pharyngeal, oral and nasal) respiratory tract inflammation, as well as by the growing evidence of the virus’ neurological manifestations. Preliminary results: An exploratory study with audio interviews of five subjects provides Cohen's d effect sizes between pre-COVID-19 (pre-exposure) and post-COVID-19 (after positive diagnosis but presumed asymptomatic) using: coordination of respiration (as measured through acoustic waveform amplitude) and laryngeal motion (fundamental frequency and cepstral peak prominence), and coordination of laryngeal and articulatory (formant center frequencies) motion. Conclusions: While there is a strong subject-dependence, the group-level morphology of effect sizes indicates a reduced complexity of subsystem coordination. Validation is needed with larger more controlled datasets and to address confounding influences such as different recording conditions, unbalanced data quantities, and changes in underlying vocal status from pre-to-post time recordings.

Researchers in several countries are working to develop a smartphone application to rapidly and accurately detect Covid-19 from spoken words, coughs, and other phrases.

COVID Voice Detector can be downloaded now. The app determines whether you're infected with COVID-19 by the sound of your voice.

Researchers have developed a new app that uses artificial intelligence technology to determine whether a person has COVID-19 based on the sound of their cough. The app has a 70% accuracy rate.

How does the smartphone-based COVID-19 test work and what's the science behind it? Where will the voice sample test be available in Mumbai? All your questions are answered here.

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September 3, 2020 The first randomized controlled trial (RCT) of vitamin D in COVID-19 has just been published. The results are astounding: vitamin D nearly abolished the odds of requiring treatment in ICU. Although the number of deaths was too small to say for sure, vitamin D may actually abolish the risk of death from …

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Alzheimer's Disease Facts and Figures report – get the latest statistics on the impact of Alzheimer's and dementia in the United States.

The AWS Diagnostic Development Initiative (DDI) provides support for innovation in rapid and accurate patient testing for 2019 Novel Corona-Virus (COVID-19), and other diagnostics solutions to mitigate future outbreaks.

Amazon Web Services commits $20 million for customers working on diagnostics solutions.

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"Online channel[s are] going to be the primary marketplace[s] for even the most premium of medical devices in the future," Amazon's global healthcare leader Chris Holt told Healthcare Dive.

Amazon must ensure its workers receive adequate protection during the COVID-19 pandemic.