Results 171 to 180 of about 11,289,407 (322)

Assessing the Prevalence of Long-COVID Among Idahoans: Insights from 2022 BRFSS Data [PDF]

open access: yes
Long-COVID is classified as a chronic condition lasting at least 3 months and occurring after SARS-CoV-2 infection (CDC, 2024b). Long-COVID can have a range of persisting symptoms, with these symptoms not being linked to another disease (CDC, 2024b ...
Buster, Jessica   +3 more
core   +1 more source

Review of organ damage from COVID and Long COVID: a disease with a spectrum of pathology

open access: yesMedical Review
Long COVID, as currently defined by the World Health Organization (WHO) and other authorities, is a symptomatic condition that has been shown to affect an estimated 10 %–30 % of non-hospitalized patients after one infection.
A. Ewing   +6 more
semanticscholar   +1 more source

Mass‐Produced and High‐Performance Nanowell Biosensor Fabricated via Semiconductor Manufacturing for Rapid and Accurate COVID‐19 Diagnosis in the Clinical Field

open access: yesAdvanced Science, EarlyView.
A semiconductor‐fabricated nanowell biosensor enables rapid, scalable, and highly reproducible detection of SARS‐CoV‐2 antigens from nasal swabs within ∼10 minutes. Clinical validation in 249 retrospective and 243 prospective patient samples demonstrates high sensitivity and specificity, minimal cross‐reactivity, and robust batch‐to‐batch ...
Yoo Min Park   +11 more
wiley   +1 more source

Examining the Mental Health Impact: Investigating the Association between Suicide and Long Covid Syndrome [PDF]

open access: yes
Since its emergence in late 2019, Covid-19 has had many devastating economic, social, mental, and physical health consequences and caused millions of deaths worldwide over the course of the pandemic.
Espiridion, Eduardo   +2 more
core   +2 more sources

The knowns and unknowns of long COVID-19: from mechanisms to therapeutical approaches

open access: yesFrontiers in Immunology
The coronavirus disease 2019 (COVID-19) pandemic caused by SARS-CoV-2 has been defined as the greatest global health and socioeconomic crisis of modern times. While most people recover after being infected with the virus, a significant proportion of them
Roxana Gheorghita   +8 more
semanticscholar   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

open access: yesAdvanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu   +10 more
wiley   +1 more source

"People don't have the answers": A qualitative exploration of the experiences of young people with Long COVID [PDF]

open access: yes
Young people living with Long COVID are learning to navigate life with a constellation of poorly understood symptoms. Most qualitative studies on experiences living with Long COVID focus on adult populations.
Bhopal, Rowan   +22 more
core  

Understanding autoimmune response after SARS-CoV-2 infection and the pathogenesis/mechanisms of long COVID

open access: yesMedical Review
COVID-19 posed a major challenge to the healthcare system and resources worldwide. The popularization of vaccines and the adoption of numerous prevention and control measures enabled the gradual end of the COVID-19 pandemic.
Ming Guo   +6 more
semanticscholar   +1 more source

Autoimmunity in long COVID

open access: yesJournal of Allergy and Clinical Immunology
Long COVID (also termed postacute sequelae of SARS-CoV-2, or PASC) affects up to 10% of people recovering from infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Diagnosis is hampered by diffuse symptomatology, lack of biomarkers, incomplete understanding of pathogenesis, and lack of validated treatments.
Shubha, Talwar   +3 more
openaire   +2 more sources

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

open access: yesAdvanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu   +5 more
wiley   +1 more source

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