Objective To develop a vocal biomarker for fatigue monitoring in people with COVID-19.
Design Prospective cohort study. Setting Predi-COVID data between May 2020 and May …

People with COVID-19 can experience impairing symptoms that require enhanced
surveillance. Our objective was to train an artificial intelligence-based model to predict the …

Background: The COVID-19 disease has multiple symptoms, with anosmia and ageusia
being the most prevalent, varying from 75% to 95% and from 50% to 80% of infected …

The COVID-19 pandemic accelerated the use of remote patient monitoring in clinical
practice or research for safety and emergency reasons, justifying the need for innovative …

Background Between 10% and 20% of people with a COVID-19 infection will develop the so-
called long COVID syndrome, which is characterized by fluctuating symptoms. Long COVID …

Background: The COVID-19 pandemic has resulted in enormous costs to our society.
Besides finding medicines to treat those infected by the virus, it is important to find effective …

The UK COVID-19 Vocal Audio Dataset is designed for the training and evaluation of
machine learning models that classify SARS-CoV-2 infection status or associated respiratory …

Background Recent work has shown the potential of using audio data (eg, cough, breathing,
and voice) in the screening for COVID-19. However, these approaches only focus on one-off …

Background Vocal biomarker–based machine learning approaches have shown promising
results in the detection of various health conditions, including respiratory diseases, such as …

Many virological tests have been implemented during the Coronavirus Disease 2019
(COVID-19) pandemic for diagnostic purposes, but they appear unsuitable for screening …