Hepatitis

Key factors of the deranged antiviral response in elderly patients with COVID-19: a machine-learning analysis.

Age is a well-known risk factor to develop severe viral respiratory infections, including severe COVID-19. This study aimed to identify the biological alterations linked to severe disease in elderly patients with COVID-19. For this purpose, we employed a derivation cohort with 450 SARS-CoV-2 infected and unvaccinated patients admitted to hospital wards and a validation cohort with 244 SARS-CoV-2 i...

Decoding viral evolution through integrative bioinformatics: From genomes to global health.

Bioinformatics has transformed modern virology by linking genomic variation to epidemiology, protein structure, and public health action. This review integrates core analytical frameworks-sequence alignment and genome annotation; maximum-likelihood and Bayesian phylogenetic/phylodynamic inference; codon-based selection and recombination analyses; and AI-assisted structural prediction combined with...

Divergent macrophage-regulated T cell states determine response to Bacillus Calmette-Guérin vaccine in high-risk bladder cancer.

BACKGROUNDPrimary therapy for high-risk bladder cancer (BCa) is repeated instillations of the tuberculosis vaccine Bacillus Calmette-Guérin (BCG). Alt...

[Prevention in Gastroenterology].

Gastroenterology offers a broad, evidence-based range of preventive measures that goes beyond colorectal cancer screening. As a specialty of systemic ...

A Transformer-ResNet-Integrated Deep Learning Model for Digital Pathology-Based Grading and Risk Stratification of MASLD-Related Liver Fibrosis.

INTRODUCTION: Metabolic dysfunction-associated steatotic liver disease (MASLD) affects up to 30% of the global population and drives progression to fi...

Optimal treatment selection for hepatocellular carcinoma in the era of immunotherapy.

Immunotherapy has revolutionized hepatocellular carcinoma (HCC) management, necessitating personalized strategies in current guidelines. Despite curat...

Explainable artificial intelligence-enabled intertwined logistics analytics with application in poultry vaccine distribution in the Northwest of Iran.

Intertwining supply chains integrates the corresponding networks across several intersection points, such as suppliers, manufacturers, and transporter...

NeuroBACE-ML: A reliability-aware screening framework for high-throughput prioritization of potent BACE1 inhibitors.

Beta-site amyloid precursor protein cleaving enzyme 1 (BACE1) is a key enzyme in amyloid-β generation and remains an important target in Alzheimer's d...

Development and validation of the Oxford Attitudes to Artificial Intelligence in Medicine Scale.

OBJECTIVE: Public willingness to accept medical artificial intelligence (AI) tools affect the potential real-world impact of these evolving technologi...

A review of traditional uses, phytoconstituents, bioactivities, and therapeutic potential of Hypecoum erectum L. and Hypecoum leptocarpum Hook.f. & Thomson.

ETHNOPHARMACOLOGICAL RELEVANCE: Hypecoi Erecti Herba, derived from plants of the genus Hypecoum (Papaveraceae), includes two source species: Hypecoum ...

Dataset of manually curated peptides against arthropod-borne viruses.

Anti-arboviral peptides are biomolecules capable of interfering with key stages of the arboviral lifecycle. We present a dataset compiling 270 peptide...

From pathogenesis to precision medicine in systemic lupus erythematosus: Emerging biomarkers and targeted interventions.

Systemic lupus erythematosus (SLE) is a chronic, systemic autoimmune disease characterized by immune dysregulation, autoantibody production, and chron...

Precision limits in precision-aligned direct-drive and direct-detection architectures for photonic computing.

On-chip photonic computing shows promise for tasks such as neural networks due to its parallelism and low latency. However, the impact of the nonlinea...

Integrated transcriptomic and clinical analysis of autism spectrum disorder reveals structured heterogeneity and links Methyl-CpG Binding Domain Protein 2 expression with symptom severity.

AIM: Autism spectrum disorder (ASD) remains underexplored in Southeast Asia, with limited characterization of its molecular underpinnings and clinical...

Generative artificial intelligence-driven chatbots and medical misinformation: an accuracy, referencing and readability audit.

OBJECTIVES: Artificial intelligence (AI)-driven chatbots have been rapidly adopted across research, education, business, marketing and medicine. Most ...

Structure- and Ligand-Based Discovery of Novel 3-Chymotrypsin-Like Protease Nonpeptidomimetic Hits.

The SARS-CoV-2 3-chymotrypsin-like (3CLpro) protease is a key target for the development of COVID-19 therapeutics. While ensitrelvir and nirmatrelvir ...

Assessing ChatGPT's capability in understanding and reporting antiretroviral therapy drug-drug interactions (ACCURATE-DDI).

OBJECTIVES: Artificial intelligence tools are transforming access to medication information. However, their ability to accurately identify antiretrovi...

Personalized neoantigen cancer vaccines: Why clinical benefit remains inconsistent.

Personalized cancer vaccines have re-emerged as a promising strategy in precision immunotherapy, driven by advances in tumor sequencing, neoantigen id...

Artificial intelligence at the frontlines: Emerging infectious and parasitic diseases in the digital era.

Emerging infectious diseases are one of the most significant threats to global health, driven by many factors such as zoonotic spillovers, climate cha...

Leveraging machine learning to identify optimal patient populations for PEG-IFN therapy in CHB and constructing nomogram models of interferon response: a 48-week follow-up study.