Laboratory biomarkers for diagnosis and prognosis in COVID-19
D Battaglini, M Lopes-Pacheco… - Frontiers in …, 2022 - frontiersin.org
Severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) causes a wide spectrum of
clinical manifestations, with progression to multiorgan failure in the most severe cases …
clinical manifestations, with progression to multiorgan failure in the most severe cases …
SERS‐Based Biosensors Combined with Machine Learning for Medical Application**
Y Ding, Y Sun, C Liu, QY Jiang, F Chen… - ChemistryOpen, 2023 - Wiley Online Library
Surface‐enhanced Raman spectroscopy (SERS) has shown strength in non‐invasive, rapid,
trace analysis and has been used in many fields in medicine. Machine learning (ML) is an …
trace analysis and has been used in many fields in medicine. Machine learning (ML) is an …
A simple model of COVID-19 explains disease severity and the effect of treatments
Considerable effort has been made to better understand why some people suffer from
severe COVID-19 while others remain asymptomatic. This has led to important clinical …
severe COVID-19 while others remain asymptomatic. This has led to important clinical …
Dynamical modelling of viral infection and cooperative immune protection in COVID-19 patients
Once challenged by the SARS-CoV-2 virus, the human host immune system triggers a
dynamic process against infection. We constructed a mathematical model to describe host …
dynamic process against infection. We constructed a mathematical model to describe host …
Clinical, Biochemical, and ATR‐FTIR Spectroscopic Parameters Associated with Death or Survival in Patients with Severe COVID‐19
A Martinez-Cuazitl, MM Mata-Miranda… - Journal of …, 2023 - Wiley Online Library
The wide range of symptoms of the coronavirus disease 2019 (COVID‐19) makes it
challenging to predict the disease evolution using a single parameter. Therefore, to describe …
challenging to predict the disease evolution using a single parameter. Therefore, to describe …
Visual knowledge discovery with general line coordinates
L Huber, B Kovalerchuk, C Recaido - Artificial Intelligence and …, 2024 - Springer
Abstract Understanding black-box Machine Learning methods on multidimensional data is a
key challenge in Machine Learning. While many powerful Machine Learning methods …
key challenge in Machine Learning. While many powerful Machine Learning methods …
[HTML][HTML] Characterising biological mechanisms underlying ethnicity-associated outcomes in COVID-19 through biomarker trajectories: a multicentre registry analysis
Background Differences in routinely collected biomarkers between ethnic groups could
reflect dysregulated host responses to disease and to treatments, and be associated with …
reflect dysregulated host responses to disease and to treatments, and be associated with …
Cardiovascular and renal comorbidities included into neural networks predict the outcome in COVID-19 patients admitted to an intensive care unit: Three-center, cross …
E Ovcharenko, A Kutikhin, O Gruzdeva… - Journal of …, 2023 - mdpi.com
Here, we performed a multicenter, age-and sex-matched study to compare the efficiency of
various machine learning algorithms in the prediction of COVID-19 fatal outcomes and to …
various machine learning algorithms in the prediction of COVID-19 fatal outcomes and to …
Critical and non-critical coronavirus disease 2019 patients: which is the most predictive biomarker for disease severity and outcome?: A multicentre prospective cohort …
BACKGROUND Severe acute respiratory syndrome-coronavirus-2 in coronavirus disease
2019 (COVID-19) patients leads to a wide range of clinical manifestations. The evaluation of …
2019 (COVID-19) patients leads to a wide range of clinical manifestations. The evaluation of …
Determining clinical biomarkers to predict long-term SARS-CoV-2 antibody response among COVID-19 patients in Bangladesh
Background Information on antibody responses following SARS-CoV-2 infection, including
the magnitude and duration of responses, is limited. In this analysis, we aimed to identify …
the magnitude and duration of responses, is limited. In this analysis, we aimed to identify …