SARS-CoV-2 variants and clinical outcomes: a systematic review
IR Mendiola-Pastrana, E Lopez-Ortiz… - Life, 2022 - mdpi.com
Background: From the start of the COVID-19 pandemic, new SARS-CoV-2 variants have
emerged that potentially affect transmissibility, severity, and immune evasion in infected …
emerged that potentially affect transmissibility, severity, and immune evasion in infected …
[HTML][HTML] Applying the digital data and the bioinformatics tools in SARS-CoV-2 research
M Tan, J **a, H Luo, G Meng, Z Zhu - Computational and Structural …, 2023 - Elsevier
Bioinformatics has been playing a crucial role in the scientific progress to fight against the
pandemic of the coronavirus disease 2019 (COVID-19) caused by the severe acute …
pandemic of the coronavirus disease 2019 (COVID-19) caused by the severe acute …
Just Add Data: automated predictive modeling for knowledge discovery and feature selection
I Tsamardinos, P Charonyktakis… - NPJ precision …, 2022 - nature.com
Fully automated machine learning (AutoML) for predictive modeling is becoming a reality,
giving rise to a whole new field. We present the basic ideas and principles of Just Add Data …
giving rise to a whole new field. We present the basic ideas and principles of Just Add Data …
Identifying COVID-19 severity-related SARS-CoV-2 mutation using a machine learning method
SARS-CoV-2 shows great evolutionary capacity through a high frequency of genomic
variation during transmission. Evolved SARS-CoV-2 often demonstrates resistance to …
variation during transmission. Evolved SARS-CoV-2 often demonstrates resistance to …
Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasets
COVID-19 outbreak brings intense pressure on healthcare systems, with an urgent demand
for effective diagnostic, prognostic and therapeutic procedures. Here, we employed …
for effective diagnostic, prognostic and therapeutic procedures. Here, we employed …
Prediction of recurrent mutations in SARS-CoV-2 using artificial neural networks
B Saldivar-Espinoza, G Macip… - International Journal of …, 2022 - mdpi.com
Predicting SARS-CoV-2 mutations is difficult, but predicting recurrent mutations driven by the
host, such as those caused by host deaminases, is feasible. We used machine learning to …
host, such as those caused by host deaminases, is feasible. We used machine learning to …
Liquid biopsy in type 2 diabetes mellitus management: building specific biosignatures via machine learning
M Karaglani, M Panagopoulou, C Cheimonidi… - Journal of Clinical …, 2022 - mdpi.com
Background: The need for minimally invasive biomarkers for the early diagnosis of type 2
diabetes (T2DM) prior to the clinical onset and monitoring of β-pancreatic cell loss is …
diabetes (T2DM) prior to the clinical onset and monitoring of β-pancreatic cell loss is …
Identification and classification of coronavirus genomic signals based on linear predictive coding and machine learning methods
Corona disease has become one of the problems and challenges of humankind over the
past two years. One of the problems that existed from the first days of this epidemic was …
past two years. One of the problems that existed from the first days of this epidemic was …
Interpretable and predictive deep neural network modeling of the SARS-Cov-2 spike protein sequence to predict COVID-19 disease severity
BA Sokhansanj, Z Zhao, GL Rosen - Biology, 2022 - mdpi.com
Simple Summary As COVID-19 shifts from pandemic to endemic, emerging variants may be
more or less virulent. Predicting whether an emerging COVID-19 variant has of high risk of …
more or less virulent. Predicting whether an emerging COVID-19 variant has of high risk of …
Enhanced predictability and interpretability of COVID-19 severity based on SARS-CoV-2 genomic diversity: a comprehensive study encompassing four years of data
M Miao, Y Ma, J Tan, R Chen, K Men - Scientific Reports, 2024 - nature.com
Despite the end of the global Coronavirus Disease 2019 (COVID-19) pandemic, the risk
factors for COVID-19 severity continue to be a pivotal area of research. Specifically, studying …
factors for COVID-19 severity continue to be a pivotal area of research. Specifically, studying …