Flu & URI

Climate variability and COVID-19 non-pharmaceutical interventions shaped dengue transmission in Guangdong: an integrated modeling study.

Dengue fever is a major climate-sensitive mosquito-borne disease shaped by both environmental condit...

Machine learning-based prediction of ICU admission and mortality in Crimean-Congo hemorrhagic fever by using wide-range targeted metabolomics.

PURPOSE: This study aimed to evaluate the potential of amino-acid profiles to predict disease progre...

Artificial intelligence in rheumatology: a cross-sectional Scopus-based analysis.

Artificial intelligence (AI) is increasingly used in clinical medicine. Rheumatology is well-suited ...

A Novel Machine Learning Approach for Predicting Prognosis of SFTS Patients in the Early Stages of Disease.

OBJECTIVE: Severe fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne disease char...

A computational method to design broad-spectrum T cell-inducing vaccines applied to Betacoronaviruses.

Antigenically diverse pathogens such as coronaviruses pose substantial global health threats, highli...

Artificial intelligence-enhanced nurse navigation for monitoring and care of long COVID.

INTRODUCTION: Long COVID is a multisystem condition with challenging diagnosis. Nurse-navigation, a ...

TACE-induced liver injury in hepatocellular carcinoma: mechanisms, prediction, and prevention in the era of gut microbiota and inflammasome research.

Transarterial chemoembolization (TACE) is a cornerstone locoregional therapy for hepatocellular carc...

CIST: A clade-informed sequence transformer framework for predicting influenza virus antigenicity.

Rapid antigenic evolution of influenza viruses complicates timely vaccine strain selection and rende...

Validation Approaches for Cough Monitoring Tools: A Scoping Review.

OBJECTIVE: To characterize validation approaches used in ambulatory cough monitoring systems and ide...

Electrochemical and optical biosensors as transformative tools for multiplex detection of influenza viruses.

The influenza viruses (IVs) are major public health risk, causing immense seasonal infections, sever...

Neural networks and behavioral frameworks to analyse the impact of media and individual awareness for controlling epidemics.

Enhancing individual awareness and immunization are generally recognized as fundamental strategies f...

Rational design of an optimized ferritin nanoparticle vaccine targeting both SARS-CoV-2 and MERS-CoV.

BACKGROUND: Coronaviruses including SARS-CoV-2 and MERS-CoV remain threats to global health. Ferriti...

Development of a prediction model for infant hospitalisation and death using clinical features assessed by community health workers during routine postnatal home visits in Dhaka, Bangladesh.

BACKGROUND: To improve upon the WHO 8 danger signs used to identify young infants (<2 months) requir...

Cough biomarkers for diagnosis and monitoring of respiratory disease: a systematic review.

Cough is a common and physiologically informative component of respiratory morbidity, but its potent...

Development and validation of an interpretable machine learning model for early hospital-based differentiation of chikungunya and dengue fever using routine clinical data.

BACKGROUND: Chikungunya fever (CHIKF) and dengue fever are mosquito-borne viral diseases. These infe...

Unveiling the molecular mechanism of Qingwen Baidu decoction against dengue fever: an integrated study of bioinformatic analysis, machine learning and network pharmacology.

Dengue fever, a mosquito-borne disease caused by dengue virus (DENV), has become a global health pro...

Retraction: Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds.

QSPR modeling and multi-criteria ranking of antiviral drugs using degree-based topological indices, artificial neural networks, and TOPSIS.

In the present research work, graph theory has been used to represent the molecular structures of an...

Enhancing protein expression in humans through codon optimization with transformer and contrastive learning.

Following the success of COVID-19 vaccines and therapies, mRNA-based therapeutics have attracted sig...

Engineered HSP90-MP65 Bivalent Fusion Antigen: A Novel Vaccine Candidate Against Invasive Candidiasis.

Invasive candidiasis represents a critical global health challenge, causing approximately 6.5 millio...

Exploration of key stress granule-related genes in chronic sinusitis based on transcriptomics.

Chronic rhinosinusitis with nasal polyps (CRSwNP) frequently induces the formation of intracellular ...