AIMC Topic: Post-Acute COVID-19 Syndrome

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Using machine learning involving diagnoses and medications as a risk prediction tool for post-acute sequelae of COVID-19 (PASC) in primary care.

BMC medicine Apr 30, 2025
BACKGROUND: The aim of our study was to determine whether the application of machine learning could predict PASC by using diagnoses from primary care and prescribed medication 1 year prior to PASC diagnosis.
Risk Factors Hospitalization Aged Young Adult Female SARS-CoV-2 Sweden Case-Control Studies Adolescent Primary Health Care Post-Acute COVID-19 Syndrome Adult Male Middle Aged Risk Assessment Humans Machine Learning COVID-19
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Knowledge Representation and Management in the Age of Long Covid and Large Language Models: a 2022-2023 Survey.

Yearbook of medical informatics Apr 8, 2025
OBJECTIVES: To select, present, and summarize cutting edge work in the field of Knowledge Representation and Management (KRM) published in 2022 and 2023.
Post-Acute COVID-19 Syndrome Large Language Models Artificial Intelligence COVID-19 Surveys and Questionnaires Humans
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Developing a Multisensor-Based Machine Learning Technology (Aidar Decompensation Index) for Real-Time Automated Detection of Post-COVID-19 Condition: Protocol for an Observational Study.

JMIR research protocols Mar 27, 2025
BACKGROUND: Post-COVID-19 condition is emerging as a new epidemic, characterized by the persistence of COVID-19 symptoms beyond 3 months, and is anticipated to substantially alter the lives of millions of people globally. Patients with severe episode...
Male Middle Aged United States Post-Acute COVID-19 Syndrome COVID-19 Female SARS-CoV-2 Adult Humans Machine Learning
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Machine learning predicts pulmonary Long Covid sequelae using clinical data.

BMC medical informatics and decision making Nov 27, 2024
Long COVID is a multi-systemic disease characterized by the persistence or occurrence of many symptoms that in many cases affect the pulmonary system. These, in turn, may deteriorate the patient's quality of life making it easier to develop severe co...
COVID-19 Female Male Middle Aged Humans Machine Learning Post-Acute COVID-19 Syndrome
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Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative.

EBioMedicine Sep 24, 2024
BACKGROUND: While many patients seem to recover from SARS-CoV-2 infections, many patients report experiencing SARS-CoV-2 symptoms for weeks or months after their acute COVID-19 ends, even developing new symptoms weeks after infection. These long-term...
COVID-19 Algorithms SARS-CoV-2 Cohort Studies United States Post-Acute COVID-19 Syndrome Crowdsourcing Humans Machine Learning
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Investigation of the potential molecular mechanisms of acupuncture in the treatment of long COVID: a bioinformatics approach.

Cellular and molecular biology (Noisy-le-Grand, France) Sep 8, 2024
Long COVID is a poorly understood condition characterized by persistent symptoms following the acute phase of COVID-19, including fatigue, cognitive impairment, and joint pain. Acupuncture, a key component of traditional Chinese medicine treatment, h...
Protein Interaction Maps Computational Biology Medicine, Chinese Traditional Post-Acute COVID-19 Syndrome Humans COVID-19 SARS-CoV-2 Acupuncture Therapy Gene Ontology
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The gut microbiome associates with phenotypic manifestations of post-acute COVID-19 syndrome.

Cell host & microbe Apr 23, 2024
The mechanisms underlying the many phenotypic manifestations of post-acute COVID-19 syndrome (PACS) are poorly understood. Herein, we characterized the gut microbiome in heterogeneous cohorts of subjects with PACS and developed a multi-label machine ...
Humans Machine Learning Middle Aged Cohort Studies Feces Bacteria Gastrointestinal Microbiome Longitudinal Studies Post-Acute COVID-19 Syndrome SARS-CoV-2 Aged Adult Male COVID-19 Phenotype Female
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Psychometric evaluation of the DePaul Symptom Questionnaire-Short Form (DSQ-SF) among adults with Long COVID, ME/CFS, and healthy controls: A machine learning approach.

Journal of health psychology Jan 28, 2024
Long COVID shares a number of clinical features with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), including post-exertional malaise, severe fatigue, and neurocognitive deficits. Utilizing validated assessment tools that accurately and...
Male Middle Aged Surveys and Questionnaires Psychometrics Post-Acute COVID-19 Syndrome SARS-CoV-2 Aged Humans Adult Sensitivity and Specificity Machine Learning COVID-19 Fatigue Syndrome, Chronic Female
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Application of an EMG-Rehabilitation Robot in Patients with Post-Coronavirus Fatigue Syndrome (COVID-19)-A Feasibility Study.

International journal of environmental research and public health Aug 20, 2022
This pilot study aimed to assess the safety and feasibility of an EMG-driven rehabilitation robot in patients with Post-Viral Fatigue (PVF) syndrome after COVID-19. The participants were randomly assigned to two groups (IG-intervention group and CG-c...
Humans Pilot Projects Feasibility Studies Fatigue Hand Strength Robotics Post-Acute COVID-19 Syndrome
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Immune-Based Prediction of COVID-19 Severity and Chronicity Decoded Using Machine Learning.

Frontiers in immunology Jun 28, 2021
Expression of CCR5 and its cognate ligands have been implicated in COVID-19 pathogenesis, consequently therapeutics directed against CCR5 are being investigated. Here, we explored the role of CCR5 and its ligands across the immunologic spectrum of CO...
Receptors, CCR5 Chemokine CCL5 Post-Acute COVID-19 Syndrome Male Algorithms Humans Severity of Illness Index RNA, Viral Machine Learning Prognosis Case-Control Studies T-Lymphocytes, Regulatory COVID-19 Female Lymphocyte Activation SARS-CoV-2 Antibodies, Viral Computational Biology CD8-Positive T-Lymphocytes
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