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Related papers: Advancing Understanding of Long COVID Pathophysiol…

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Biomolecular networks, such as protein-protein interactions, gene-gene associations, and cell-cell interactions, offer valuable insights into the complex organization of biological systems. These networks are key to understanding cellular…

Quantum Physics · Physics 2025-08-22 Viacheslav Dubovitskii , Aritra Bose , Filippo Utro , Laxmi Parida

A significant percentage of COVID-19 survivors experience ongoing multisystemic symptoms that often affect daily living, a condition known as Long Covid or post-acute-sequelae of SARS-CoV-2 infection. However, identifying scientific…

Machine Learning · Computer Science 2022-10-31 Robert Leaman , Rezarta Islamaj , Alexis Allot , Qingyu Chen , W. John Wilbur , Zhiyong Lu

Based on recent studies, some COVID-19 symptoms can persist for months after infection, leading to what is termed long COVID. Factors such as vaccination timing, patient characteristics, and symptoms during the acute phase of infection may…

Machine Learning · Computer Science 2025-04-30 Milad Leyli-abadi , Jean-Patrick Brunet , Axel Tahmasebimoradi

Recent studies emphasized the necessity to identify key (human) biological processes and pathways targeted by the Coronaviridae family of viruses, especially SARS-CoV-2. COVID-19 caused up to 33-55\% death rates in COVID-19 patients with…

Molecular Networks · Quantitative Biology 2022-06-01 S. Chatterjee , B. S. Sanjeev

Identifying long COVID symptoms is a challenging task, primarily due to the reliance on patient reports and the lack of disease specific biomarkers. The objective of this study is to identify individual long COVID symptoms, post COVID 19…

Other Quantitative Biology · Quantitative Biology 2025-10-02 Abdi Reza

The COVID-19 pandemic has left a significant mark on global healthcare, with many individuals experiencing lingering symptoms long after recovering from the acute phase of the disease, a condition often referred to as "long COVID." This…

Other Quantitative Biology · Quantitative Biology 2023-10-04 Maitham G. Yousif , Ghizal Fatima , Hector J. Castro , Fadhil G. Al-Amran , Salman Rawaf

The SARS-CoV-2 pandemic has added new urgency to the study of viral mechanisms of infection. But while vaccines offer a measure of protection against this specific outbreak, a new era of pandemics has been predicted. In addition to this,…

Biological Physics · Physics 2022-10-25 Betony Adams , Ilya Sinayskiy , Rienk van Grondelle , Francesco Petruccione

A molecular and cellular understanding of how SARS-CoV-2 variably infects and causes severe COVID-19 remains a bottleneck in developing interventions to end the pandemic. We sought to use deep learning to study the biology of SARS-CoV-2…

Machine Learning · Computer Science 2020-12-16 Arijit Sehanobish , Neal G. Ravindra , David van Dijk

The development of therapeutic targets for COVID-19 treatment is based on the understanding of the molecular mechanism of pathogenesis. The identification of genes and proteins involved in the infection mechanism is the key to shed out…

Biomolecules · Quantitative Biology 2021-05-19 Jayanta Kumar Das , Swarup Roy , Pietro Hiram Guzzi

Coronavirus Disease-2019 (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. It was first identified in Wuhan, China, and has since spread causing a global pandemic. Various studies have been performed to understand the…

Moderate to severe post-acute sequelae of SARS-CoV-2 infection (PASC), also called long COVID, is estimated to impact as many as 10% of SARS-CoV-2 infected individuals, representing a chronic condition with a substantial global public…

Methodology · Statistics 2024-10-11 Harrison T. Reeder , Tanayott Thaweethai , Andrea S. Foulkes

COVID-19 is a devastating respiratory and inflammatory illness caused by a new coronavirus that is rapidly spreading throughout the human population. Over the past 6 months, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the…

Post-acute sequelae of SARS-CoV-2 infection (Long COVID) frequently persists for months, yet drivers of clinical remission remain incompletely defined. Here we analyzed 97,564 longitudinal PASC assessments from 13,511 participants with…

Other Quantitative Biology · Quantitative Biology 2026-01-14 Jing Wang , Tong Zhang , Xing Niu , Jie Shen , Yiming Luo , Qiaomin Xie , Amar Sra , Zorina Galis , Jeremy Weiss

In the year 2022, a total of 466 patients from various cities across Iraq were included in this study. This research paper focuses on the application of machine learning techniques to analyse and predict multi-organ dysfunction in…

Machine Learning · Computer Science 2023-10-02 Hector J. Castro , Maitham G. Yousif

The novel coronavirus (SARS-CoV-2) has led to a pandemic. The current testing regime based on Reverse Transcription-Polymerase Chain Reaction for SARS-CoV-2 has been unable to keep up with testing demands, and also suffers from a relatively…

Quantifying COVID-19 infection over time is an important task to manage the hospitalization of patients during a global pandemic. Recently, deep learning-based approaches have been proposed to help radiologists automatically quantify…

Image and Video Processing · Electrical Eng. & Systems 2022-03-22 Tobias Czempiel , Coco Rogers , Matthias Keicher , Magdalini Paschali , Rickmer Braren , Egon Burian , Marcus Makowski , Nassir Navab , Thomas Wendler , Seong Tae Kim

SARS-CoV-2, the highly contagious pathogen responsible for the COVID-19 pandemic, has persistent effects that begin four weeks after initial infection and last for an undetermined duration. These chronic effects are more harmful than acute…

Post-acute sequelae of SARS-CoV-2 infection (PASC) or Long COVID is an emerging medical condition that has been observed in several patients with a positive diagnosis for COVID-19. Historical Electronic Health Records (EHR) like diagnosis…

Computational pathology (CPath) digitizes pathology slides into whole slide images (WSIs), enabling analysis for critical healthcare tasks such as cancer diagnosis and prognosis. However, WSIs possess extremely long sequence lengths (up to…

Computer Vision and Pattern Recognition · Computer Science 2025-12-04 Wenhao Tang , Heng Fang , Ge Wu , Xiang Li , Ming-Ming Cheng

The integration of machine learning methods into bioinformatics provides particular benefits in identifying how therapeutics effective in one context might have utility in an unknown clinical context or against a novel pathology. We aim to…

Machine Learning · Computer Science 2020-06-29 Semih Cantürk , Aman Singh , Patrick St-Amant , Jason Behrmann
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