Hepatitis

Lipid abnormalities in chronic viral hepatitis: associations and machine learning-enhanced prediction.

Development of an Algorithm to Estimate Fat-Free Mass to Optimize Contrast Injection for Computed Tomography Imaging of the Liver.

OBJECTIVES: Contrast-enhanced computed tomography (CT) is central to liver imaging. Inadequate enhancement can compromise diagnostic accuracy and impact treatment decisions. Fat-free mass (FFM) has emerged as a key predictor of liver enhancement quality, enabling personalized contrast protocols. However, direct FFM measurement is impractical in clinical settings due to equipment costs and time req...

Repurposing Clinical Candidates for Nipah and Hendra Viruses.

Nipah virus (NiV) and Hendra virus (HeV) are bat-borne zoonotic paramyxoviruses that cause severe and often fatal respiratory and neurological disease...

Algorithmic insights: How FDI sources, digital financial inclusion, and geopolitics collide in Pakistan's environmental landscape.

The environmental effect of foreign direct investment is a much-discussed topic. Nevertheless, how foreign direct investment's country of origin can a...

Evaluation of AI-Driven Automatic Segmentation Algorithms for Lung Shunt Fraction Estimation in 90Y-Labeled Microsphere Therapy.

90Y-labeled microsphere (90Y-microsphere) hepatic arterial radioembolization is a direct treatment for hepatic neoplasms. Before therapy, the fraction...

A machine learning predictive model for staging chronic hepatitis B inflammation based on non-invasive metrics.

Early screening and antiviral therapy for significant liver inflammation in chronic hepatitis B (CHB) remain significant barriers as the key to diseas...

Image quality improvement of liver ultrasound using unsupervised deep learning.

Chronic liver disease (CLD) and subsequent liver cirrhosis (LC) are common causes of death and healthcare-related socio-economical costs worldwide. Ul...

3D printed firearm identification: A comparison of machine learning models.

The production of three-dimensional (3D) printed firearms is concerning as these objects are unregulated and untraceable due to the lack of serial num...

Adjuvant databases and knowledge bases for data-driven research: a computational biology perspective.

In adjuvant research, which has long relied on experience and trial and error, advancements in technologies in broad areas, including artificial intel...

Machine Learning Models Using Hospital Admission Characteristics Do Not Optimally Predict Nosocomial Infection Development in a Global Cirrhosis Cohort.

BACKGROUND: Nosocomial infections (NI) in cirrhosis are associated with high mortality but could be preventable. Logistic regression (LR) models have ...

Valorization of artichoke processing by-products via production of oligosaccharide-enriched extracts optimized by artificial neural networks.

Valorisation of agro-industrial by-products is central to circular-economy strategies. This study evaluates the potential of industrial artichoke by-p...

Attentional Avoidance of Sexual Cues in Psychogenic Erectile Dysfunction: An Eye-Tracking and Machine Learning Study.

BACKGROUND: Psychogenic erectile dysfunction (pED) is a prevalent male erectile dysfunction without organic causes, and difficulties in erection attai...

Atomic clarity: how structural biology is shaping blood-stage malaria vaccines.

Developing an effective malaria vaccine is challenging because Plasmodium parasites use complex strategies to invade host cells. The blood stage, wher...

Toward Precise Risk Stratification after the Functional Cure of Chronic Hepatitis B.

Chronic hepatitis B remains a major global health challenge despite the advances in antiviral therapy. Although hepatitis B surface antigen (HBsAg) se...

Delisting From Clinical Improvement in Liver Cirrhosis: A Machine Learning Decision Tree Analysis.

BACKGROUND: Following therapeutic advancements, recompensation has gained increasing recognition in patients on waitlist for liver transplantation (LT...

Prediction of trajectories and outcomes in early-stage metabolic dysfunction-associated steatotic liver disease: a narrative review.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent chronic liver disorder, with manifestations ranging from steato...

Dissecting serum polyclonal antibody escape to SARS-CoV-2 variants by deep mutational learning.

Deep mutational scanning (DMS) has been extensively used to investigate how single-position mutations in the receptor-binding domain (RBD) affect bind...

Engineering brain-penetrant PROTACs: Bridging molecular design and CNS delivery.

The drug development for central nervous system (CNS) disorders, particularly neurodegenerative diseases, such as Alzheimer's disease, Parkinson's dis...

Modelling the epidemic dynamics of HPV among women in China and optimization of ongoing cervical cancer elimination strategies.

BACKGROUND: The infection of high-risk human papillomavirus (hr-HPV) and related cervical cancer have greatly threatened women's health. However, the ...

A deep dive into ferritin nanoparticle advancements: experimental and computational perspectives.

Ferritin, a natural iron-storage protein, has emerged as a versatile platform in nanotechnology and biomedicine due to its biocompatible 12 nm nanocag...