Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Aurélie, Fischer"'
Autor:
Aurélie Fischer, Gloria Aguayo, India Pinker, Pauline Oustric, Tom Lachaise, Paul Wilmes, Jérôme Larché, Charles Benoy, Guy Fagherazzi
Publikováno v:
Digital Health, Vol 10 (2024)
Background People living with Long COVID (PWLC), which is still a poorly understood disease, often face major issues accessing proper care and frequently feel abandoned by the healthcare system. PWLC frequently report impaired quality of life because
Externí odkaz:
https://doaj.org/article/ab0edcf967734555b2b02560af5d5b17
Autor:
Carine de Beaufort, Guy Fagherazzi, Aurélie Fischer, Till Seuring, Franchesca Aguirre Vergara, Gloria A Aguayo
Publikováno v:
BMJ Open, Vol 13, Iss 9 (2023)
Introduction Type 1 diabetes (T1D) requires continuous management to obtain a good metabolic control and prevent acute complications. This often affects psychological well-being. People with T1D frequently report diabetes distress (DD). Psychological
Externí odkaz:
https://doaj.org/article/114ea0b0ff934da78446cab065f7c372
The Long COVID experience from a patient's perspective: a clustering analysis of 27,216 Reddit posts
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
ObjectiveThis work aims to study the profiles of Long COVID from the perspective of the patients spontaneously sharing their experiences and symptoms on Reddit.MethodsWe collected 27,216 posts shared between July 2020 and July 2022 on Long COVID-rela
Externí odkaz:
https://doaj.org/article/c133202ee89f464790fe8ff46eb46727
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
Psychological disturbances are frequent following COVID-19. However, there is not much information about whether pre-existing psychological disorders are associated with the severity and evolution of COVID-19. We aimed to explore the associations bet
Externí odkaz:
https://doaj.org/article/e9fa70c5452d4f98920daf61201d4ce4
Autor:
Eduardo Higa, Abir Elbéji, Lu Zhang, Aurélie Fischer, Gloria A Aguayo, Petr V Nazarov, Guy Fagherazzi
Publikováno v:
JMIR Medical Informatics, Vol 10, Iss 11, p e35622 (2022)
BackgroundThe 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 patients, respectively. An automatic assessment tool for these symptoms will help monitor
Externí odkaz:
https://doaj.org/article/ec5810a1337f4da5a5d5ffc6cc7d3667
Autor:
Lu Zhang, Guy Fagherazzi, Aurélie Fischer, Gloria Aguayo, Abir Elbéji, Eduardo Higa, Vladimir Despotovic, Petr V Nazarov
Publikováno v:
BMJ Open, Vol 12, Iss 11 (2022)
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 2021.Participants A total of 1772 voice recordings were used to train an AI-based
Externí odkaz:
https://doaj.org/article/553a0ca5acf14ffe8a3f38b96b04ca41
Autor:
Guy Fagherazzi, Lu Zhang, Abir Elbéji, Eduardo Higa, Vladimir Despotovic, Markus Ollert, Gloria A Aguayo, Petr V Nazarov, Aurélie Fischer
Publikováno v:
PLOS Digital Health, Vol 1, Iss 10, p e0000112 (2022)
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 presence of COVID-19 symptoms and derive a digital vocal biomarker for easily
Externí odkaz:
https://doaj.org/article/490b0da76ed74b4d874dd8aac3b5671c
Autor:
Guy Fagherazzi, Adrian Ahne, Aurélie Fischer, Charline Bour, Gloria Aguayo, David Marcic, Philippe Kayser
Publikováno v:
BMJ Open Diabetes Research & Care, Vol 10, Iss 5 (2022)
Introduction The current evaluation processes of the burden of diabetes are incomplete and subject to bias. This study aimed to identify regional differences in the diabetes burden on a universal level from the perspective of people with diabetes.Res
Externí odkaz:
https://doaj.org/article/23b7074e879c40e387fe41b8c61b21ba
Autor:
Guy Fagherazzi, Lu Zhang, Gloria Aguayo, Jessica Pastore, Catherine Goetzinger, Aurélie Fischer, Laurent Malisoux, Hanen Samouda, Torsten Bohn, Maria Ruiz-Castell, Laetitia Huiart
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Given the rapid increase in the incidence of cardiometabolic conditions, there is an urgent need for better approaches to prevent as many cases as possible and move from a one-size-fits-all approach to a precision cardiometabolic prevention
Externí odkaz:
https://doaj.org/article/fada0620fe1a4356a0fc65174288dcb6
Publikováno v:
Digital Biomarkers, Vol 5, Iss 1, Pp 78-88 (2021)
Diseases can affect organs such as the heart, lungs, brain, muscles, or vocal folds, which can then alter an individual’s voice. Therefore, voice analysis using artificial intelligence opens new opportunities for healthcare. From using vocal biomar
Externí odkaz:
https://doaj.org/article/1af778b2f21844d6a95d428af5cbe478