Explainable artificial intelligence methods in combating pandemics: A systematic review
Despite the myriad peer-reviewed papers demonstrating novel Artificial Intelligence (AI)-
based solutions to COVID-19 challenges during the pandemic, few have made a significant …
based solutions to COVID-19 challenges during the pandemic, few have made a significant …
Oral antiviral treatment for COVID-19: a comprehensive review on nirmatrelvir/ritonavir
Despite the rapid development of efficient and safe vaccines against COVID-19, the need to
confine the pandemic and treat infected individuals on an outpatient basis has led to the …
confine the pandemic and treat infected individuals on an outpatient basis has led to the …
Evolving phenotypes of non-hospitalized patients that indicate long COVID
Abstract Background For some SARS-CoV-2 survivors, recovery from the acute phase of the
infection has been grueling with lingering effects. Many of the symptoms characterized as …
infection has been grueling with lingering effects. Many of the symptoms characterized as …
Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using …
Background Predicting outcomes of patients with COVID-19 at an early stage is crucial for
optimised clinical care and resource management, especially during a pandemic. Although …
optimised clinical care and resource management, especially during a pandemic. Although …
Tixagevimab/cilgavimab in SARS-CoV-2 prophylaxis and therapy: A comprehensive review of clinical experience
K Akinosoglou, EA Rigopoulos, G Kaiafa, S Daios… - Viruses, 2022 - mdpi.com
Effective treatments and vaccines against COVID-19 used in clinical practice have made a
positive impact on controlling the spread of the pandemic, where they are available …
positive impact on controlling the spread of the pandemic, where they are available …
Current malaria infection, previous malaria exposure, and clinical profiles and outcomes of COVID-19 in a setting of high malaria transmission: an exploratory cohort …
J Achan, A Serwanga, H Wanzira, T Kyagulanyi… - The Lancet …, 2022 - thelancet.com
Background The potential effects of SARS-CoV-2 and Plasmodium falciparum co-infection
on host susceptibility and pathogenesis remain unknown. We aimed to establish the …
on host susceptibility and pathogenesis remain unknown. We aimed to establish the …
Methodology-centered review of molecular modeling, simulation, and prediction of SARS-CoV-2
Despite tremendous efforts in the past two years, our understanding of severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2), virus–host interactions, immune …
respiratory syndrome coronavirus 2 (SARS-CoV-2), virus–host interactions, immune …
[HTML][HTML] Machine learning model for predicting the length of stay in the intensive care unit for COVID-19 patients in the eastern province of Saudi Arabia
The COVID-19 virus has spread rapidally throughout the world. Managing resources is one
of the biggest challenges that healthcare providers around the world face during the …
of the biggest challenges that healthcare providers around the world face during the …
Characterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data: a cohort study
Summary Background Characterizing Post-Acute Sequelae of COVID (SARS-CoV-2
Infection), or PASC has been challenging due to the multitude of sub-phenotypes, temporal …
Infection), or PASC has been challenging due to the multitude of sub-phenotypes, temporal …
A retrospective cohort analysis leveraging augmented intelligence to characterize long COVID in the electronic health record: A precision medicine framework
ZH Strasser, A Dagliati… - PLOS Digital …, 2023 - journals.plos.org
Physical and psychological symptoms lasting months following an acute COVID-19 infection
are now recognized as post-acute sequelae of COVID-19 (PASC). Accurate tools for …
are now recognized as post-acute sequelae of COVID-19 (PASC). Accurate tools for …