[HTML][HTML] Factors modulating COVID-19: A mechanistic understanding based on the adverse outcome pathway framework
Addressing factors modulating COVID-19 is crucial since abundant clinical evidence shows
that outcomes are markedly heterogeneous between patients. This requires identifying the …
that outcomes are markedly heterogeneous between patients. This requires identifying the …
Genetic justification of COVID‐19 patient outcomes using DERGA, a novel data ensemble refinement greedy algorithm
Complement inhibition has shown promise in various disorders, including COVID‐19. A
prediction tool including complement genetic variants is vital. This study aims to identify …
prediction tool including complement genetic variants is vital. This study aims to identify …
[HTML][HTML] Innovative applications of artificial intelligence during the COVID-19 pandemic
C Lv, W Guo, X Yin, L Liu, X Huang, S Li, L Zhang - Infectious Medicine, 2024 - Elsevier
The COVID-19 pandemic has created unprecedented challenges worldwide. Artificial
intelligence (AI) technologies hold tremendous potential for tackling key aspects of …
intelligence (AI) technologies hold tremendous potential for tackling key aspects of …
Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: a COVID-19 cohort study
Through technological innovations, patient cohorts can be examined from multiple views
with high-dimensional, multiscale biomedical data to classify clinical phenotypes and predict …
with high-dimensional, multiscale biomedical data to classify clinical phenotypes and predict …
The epidemiology of infectious diseases meets AI: a match made in heaven
Infectious diseases remain a major threat to public health [1–3]. This Special Issue on the
Epidemiology of Infectious Disease will cover studies related to the emergence …
Epidemiology of Infectious Disease will cover studies related to the emergence …
[HTML][HTML] A bioinformatics tool for predicting future COVID-19 waves based on a retrospective analysis of the second wave in India: model development study
Background Since the start of the COVID-19 pandemic, health policymakers globally have
been attempting to predict an impending wave of COVID-19. India experienced a …
been attempting to predict an impending wave of COVID-19. India experienced a …
[HTML][HTML] Predicting emerging SARS-CoV-2 variants of concern through a One Class dynamic anomaly detection algorithm
Objectives The objective of this study is the implementation of an automatic procedure to
weekly detect new SARS-CoV-2 variants and non-neutral variants (variants of concern …
weekly detect new SARS-CoV-2 variants and non-neutral variants (variants of concern …
Global Prediction of COVID-19 Variant Emergence Using Dynamics-Informed Graph Neural Networks
MA Aawar, S Mutnuri, M Montazerin… - arXiv preprint arXiv …, 2024 - arxiv.org
During the COVID-19 pandemic, a major driver of new surges has been the emergence of
new variants. When a new variant emerges in one or more countries, other nations monitor …
new variants. When a new variant emerges in one or more countries, other nations monitor …
[HTML][HTML] Multimodal Biomedical Data Fusion Using Sparse Canonical Correlation Analysis and Cooperative Learning: A Cohort Study on COVID-19
Through technological innovations, patient cohorts can be examined from multiple views
with high-dimensional, multiscale biomedical data to classify clinical phenotypes and predict …
with high-dimensional, multiscale biomedical data to classify clinical phenotypes and predict …
Application of Continuous Embedding of Viral Genome Sequences and Machine Learning in the Prediction of SARS-CoV-2 Variants
P Tynecki, M Lubocki - … Conference on Computer Information Systems and …, 2022 - Springer
Since the beginning of the novel coronavirus pandemic, Severe Acute Respiratory
Syndrome Coronavirus 2 (SARS-CoV-2) has spread to 224 countries with over 430 million …
Syndrome Coronavirus 2 (SARS-CoV-2) has spread to 224 countries with over 430 million …