A GPT-based EHR modeling system for unsupervised novel disease detection
Abstract Objective To develop an Artificial Intelligence (AI)-based anomaly detection model
as a complement of an “astute physician” in detecting novel disease cases in a hospital and …
as a complement of an “astute physician” in detecting novel disease cases in a hospital and …
[HTML][HTML] Anomaly Detection Models for SARS-CoV-2 Surveillance Based on Genome k-mers
H Ren, Y Li, T Huang - Microorganisms, 2023 - mdpi.com
Since COVID-19 has brought great challenges to global public health governance,
develo** methods that track the evolution of the virus over the course of an epidemic or …
develo** methods that track the evolution of the virus over the course of an epidemic or …
Forecasting dominance of SARS-CoV-2 lineages by anomaly detection using deep AutoEncoders
The COVID-19 pandemic is marked by the successive emergence of new SARS-CoV-2
variants, lineages, and sublineages that outcompete earlier strains, largely due to factors …
variants, lineages, and sublineages that outcompete earlier strains, largely due to factors …
Bayesian Networks in the Management of Hospital Admissions: A Comparison between Explainable AI and Black Box AI during the Pandemic
Artificial Intelligence (AI) and Machine Learning (ML) approaches that could learn from large
data sources have been identified as useful tools to support clinicians in their decisional …
data sources have been identified as useful tools to support clinicians in their decisional …
Machine Learning Early Detection of SARS‐CoV‐2 High‐Risk Variants
L Li, C Li, N Li, D Zou, W Zhao, H Luo, Y Xue… - Advanced …, 2024 - Wiley Online Library
The severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) has evolved many
high‐risk variants, resulting in repeated COVID‐19 waves over the past years. Therefore …
high‐risk variants, resulting in repeated COVID‐19 waves over the past years. Therefore …
[HTML][HTML] Novel entropy-based phylogenetic algorithm: A new approach for classifying SARS-CoV-2 variants
The SARS-CoV-2 virus, the causative agent of COVID-19, is known for its genetic diversity.
Virus variants of concern (VOCs) as well as variants of interest (VOIs) are classified by the …
Virus variants of concern (VOCs) as well as variants of interest (VOIs) are classified by the …
Identification of potential SARS-CoV-2 genetic markers resulting from host domestication
J Wiśniewski, HC Chen - bioRxiv, 2024 - biorxiv.org
We developed ak-mer-based pipeline, namely the Pathogen Origin Recognition Tool using
Enriched K-mers (PORT-EK) to identify genomic regions enriched in the respective hosts …
Enriched K-mers (PORT-EK) to identify genomic regions enriched in the respective hosts …
SARITA: A Large Language Model for Generating the S1 Subunit of the SARS-CoV-2 Spike Protein
The COVID-19 pandemic has profoundly impacted global health, economics, and daily life,
with over 776 million cases and 7 million deaths from December 2019 to November 2024 …
with over 776 million cases and 7 million deaths from December 2019 to November 2024 …
CNN-based detection of SARS-CoV-2 variants using spike protein hydrophobicity
In the fight against the COVID-19 pandemic, it is crucial to quickly and accurately identify
SARS-Co V-2 variants due to their ever-changing nature. In this study, we introduce a novel …
SARS-Co V-2 variants due to their ever-changing nature. In this study, we introduce a novel …
Sequencing Efforts and Epidemiological Trends: Analyzing SARS-CoV-2 Dynamics Across European Nations
The COVID-19 pandemic has profoundly impacted global health, leading to millions of
deaths and overwhelming healthcare systems worldwide. This study investigates the …
deaths and overwhelming healthcare systems worldwide. This study investigates the …