Flu & URI

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 carcinoma (HCC), yet most candidates also have cirrhosis. That makes TACE a balancing act: controlling tumor progression while protecting a liver with limited functional reserve, often over multiple sessions. This narrative review synthesizes current evidence on TACE-induced liver injury (TACE-LI), with...

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

Rapid antigenic evolution of influenza viruses complicates timely vaccine strain selection and renders prospective interpretation of serological assays-including neutralization (NT) and hemagglutination inhibition (HI)-increasingly challenging in the face of a continuously shifting antigenic landscape. Here, we propose CIST, a clade-informed deep-learning-based framework for predicting influenza a...

Validation Approaches for Cough Monitoring Tools: A Scoping Review.

OBJECTIVE: To characterize validation approaches used in ambulatory cough monitoring systems and identify methodological variability that may limit cl...

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, severe illness, and respiratory deaths yearly. Rapid, a...

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 for controlling infectious diseases. Awareness is i...

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. Ferritin nanoparticle-based vaccines are promising platfo...

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) requiring referral during community health worker (CHW) ...

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 potential for diagnosing and monitoring disease is not t...

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 infections often circulate in the same regions at the ...

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 problem, and no FDA-approved drug is currently availa...

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

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 million bloodstream infections annually with mortality r...

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 stress granules (SGs). This study aims to identify...

Clinical and laboratory characteristics associated with liver failure in hospitalized dengue patients: insights from a non-endemic region.

BACKGROUND: Dengue fever is an emerging public health issue expanding into non-endemic regions like Changsha, China. Liver involvement is a critical c...

CellVision: A Deep Learning based Image Analysis Platform to Accelerate Immuno-Plaque Assay Data Processing for Dengue Vaccine Development.

Accurately detecting patterns of interest across a large number of images presents a significant challenge in data analysis for high-throughput analyt...

Post-Pandemic Forecasting of Pediatric Acute Respiratory Infections with Deep Learning: A Multi-Pathogen, Multi-Time-Horizon Study.

BACKGROUND: Acute respiratory infections (ARIs) remain a major cause of morbidity and hospitalization in children worldwide. In the post-COVID-19 era,...

Explainable machine learning reveals evolutionary signals in influenza haemagglutinin.

Identifying amino acid changes that lead to phenotypic change is critical to viral surveillance. Common metrics, such as site-wise evolutionary rates ...

Combining machine learning and iterative experiments to keep pace with emerging viral variants of concern.

Modeling and predicting viral mutations before they emerge plays a crucial role in pandemic preparedness, enabling the early identification of emergin...

Advancing fungal sinusitis diagnosis: a radiomics and machine learning approach.

BACKGROUND: Differentiating fungal from chronic sinusitis remains a diagnostic challenge due to overlapping symptoms. OBJECTIVES: This study aims to e...

Integrative analysis of mortality risk in SFTS using machine learning and genetic approaches.

This study presents a novel approach to predicting mortality risk in patients with severe fever with thrombocytopenia syndrome (SFTS) by integrating m...