Public Health

Pangenome-guided immunoinformatics design and in silico characterization of a multi-epitope vaccine candidate against Acinetobacter baumannii with nanoparticle assembly potential.

Acinetobacter baumannii is a critical multidrug-resistant pathogen causing severe healthcare infections with high mortality, yet no licensed vaccine exists. This study aims to identify universally conserved surface antigens through pangenome analysis, predict immunogenic epitopes using integrated machine learning, and computationally design and in silico characterize a self-assembling nanoparticle...

Environmental regulation of virulence in Vibrio cholerae: integrating multi-omics, predictive models, and comparative insights across emerging Vibrio species.

Vibrio cholerae thrives at the interface between the aquatic environment and the human host dynamically through integration of environmental signals to highly coordinated virulence programs. This review examines how environmental sensing systems, regulatory networks, biofilm formation, and secretory systems have been integrated to maintain stability, transmission, and pathogenesis. By incorporatin...

Precision Transfusion Medicine in the Omics Era.

Transfusion medicine has practiced a form of precision medicine for decades through compatibility testing, infectious disease screening, component man...

Compartment-specific host association and mobility shape ARG risk in aquaculture systems.

Antimicrobial resistance in aquaculture threatens environmental and public health, but the risk of ARGs cannot be inferred from abundance alone; host ...

Intelligent machine learning solutions with Bayesian regularization backpropagation adaptive networks for differential systems of Maize streak virus diseases.

Maize streak virus, a cause of maize streak disease, poses a major threat to food security that significantly reduces yields of maize, a crucial food ...

The Cyber Paranoia and Fear Scale-Updated (CPFS-U): development and implications for digital health engagement.

OBJECTIVES: To update and revalidate the Cyber Paranoia and Fear Scale to reflect current technological contexts and examine its relevance to digital ...

A population-based retrospective machine learning study of COVID-19 severity using integrated clinical and viral genomic data in Jiangsu Province, China.

BACKGROUND: As coronavirus disease 2019 (COVID-19) has transitioned into an endemic phase characterized by sustained transmission and widespread hybri...

AI-driven neoantigen identification: a comprehensive review from somatic variant calling to T cell recognition.

BACKGROUND: Neoantigens-tumor-specific peptides generated by somatic mutations-are central targets of effective anticancer T cell immunity and underpi...

Multi-scale analysis of thermal forcing of heatwaves on cyanobacterial blooms in Lake Taihu: mechanisms, spatial heterogeneity, and future projections.

Rising water temperatures and intensifying lake heatwaves (LHWs) are increasingly recognized as important drivers of cyanobacterial harmful algal bloo...

Artificial intelligence-enabled MRI surveillance of prostate cancer: integrating PRECISE v2, PI-QUAL, and longitudinal biomarkers-a narrative review.

Active surveillance (AS) is widely used for men with low-risk and selected favorable intermediate-risk prostate cancer, but pathways remain heterogene...

Leveraging data-driven risk-adapted surveillance strategies after disease progression in locally advanced rectal cancer.

BACKGROUND: Post-progression survival (PPS) is a critical endpoint in oncology, yet predictors of PPS and data-driven strategies for post-progression ...

Artificial intelligence in molecular diagnostics for pandemic preparedness.

INTRODUCTION: Molecular diagnostics focusing on the detection and analysis of nucleic acids, are indispensable tools for early pathogen identification...

New approach methodologies (NAMs) for preclinical and translational evaluation of mRNA-lipid nanoparticle (LNP) therapeutics.

Messenger RNA-lipid nanoparticle (mRNA-LNP) therapeutics have emerged as a versatile drug modality, enabling in vivo protein expression for vaccines, ...

Benchmarking Zero-Shot Generative Pre-Trained Transformer-Based Multimodal Large Language Models for Pressure Injury Staging.

OBJECTIVE: To benchmark zero-shot generative pre-trained transformer (GPT)-based multimodal large language models (MLLMs) for pressure injury (PI) sta...

Hepatitis B virus spreading via Beddington-DeAngelis incidence function and feed-forward neural network with optimal control.

Using an appropriate mathematical model, this study aims to examine the transmission dynamics and optimal control of hepatitis B virus spreading, empl...

Diagnostic challenges in re-emerging rickettsioses: why current tools fall short.

SUMMARYRickettsial diseases, encompassing scrub typhus, spotted fever group rickettsioses, and typhus group rickettsioses, represent a significant and...

Prediction of Clinically Significant Depressive Symptoms at 2-Year Follow-Up in Older Adults: Machine Learning Study Using the English Longitudinal Study of Ageing.

BACKGROUND: Depression in older adults is often underdiagnosed due to atypical symptom presentation and generational stigma, leading to delayed interv...

MDCU MedUMORE: a national digital platform for equitable and lifelong medical education in Thailand and beyond.

PROBLEM: Inequities in educational infrastructure, faculty availability, and access to continuing professional development contribute to variability i...

Climate extremes, WASH deficits, and infectious diseases in the Brazilian Amazon: Insights from explainable machine learning (2010-2022).

Infectious diseases transmitted through environmentally mediated faecal-oral pathways and climate-sensitive vector-borne routes remain major public he...

A review of bloodstream infections-pathogens, pathogenesis, diagnostic strategies, treatment methods-challenges and future aspects.

PURPOSE: Bloodstream infections (BSIs) remain a major cause of morbidity and mortality worldwide and continue to represent a substantial challenge to ...