Infectious Disease

Findings from the 2025 AMCP Foundation Symposium: Health Optimization 2.0.

The 2025 AMCP Foundation Symposium: Health Optimization 2.0 convened a select group of just over 70 managed care stakeholders in Dallas, Texas, on December 2-3, 2025. Via presentations and panel sessions, participants examined how precision medicine, data analytics, evolving policy, and health system design can address inequities in care delivery. Focus areas included precision medicine in oncolog...

Finite-Element-Informed Pyramid Neural Network With Draco Lizard Optimizer for Accurate and Efficient Water Contamination Classification.

Water Contamination is a major issue of concern in the aquaculture industry, and it affects the sustainability of the ecosystem as well as the health of the aquatic species. Measuring pollution clean-up in water is the key component of efficient supervision and defense of aquatic organisms. Conventional ways of evaluating results are usually slow, expensive, and subject to errors, and the current ...

Multimodal artificial intelligence models for liver fibrosis staging: a scoping review.

Multimodal artificial intelligence (AI) approaches integrating heterogeneous data sources represent an emerging frontier in liver fibrosis assessment....

Early metabolic trajectory and sedation strategy in V-V ECMO for severe pneumonia: a multicenter cohort study.

BACKGROUND: Prognostic assessment in patients with severe pneumonia requiring veno-venous extracorporeal membrane oxygenation (V-V ECMO) has tradition...

Rapid whole-genome sequencing of Plasmodium DNA from cryptic malaria cases in UK travellers provides insights into infection origins, transmission and antimalarial resistance.

BACKGROUND: The UK reports approximately 2000 imported malaria cases annually, necessitating effective surveillance to determine infection sources and...

Deep learning enables rabies virus detection and antibody quantification in cell culture.

Rabies remains a major neglected disease, causing tens of thousands of deaths annually in endemic regions. Cell culture-based assays are central to ra...

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 conditions and human behavior. We quantified the combine...

Risk prediction of sepsis-associated acute kidney injury: development, validation of a machine learning model with multicenter data.

BACKGROUND: Sepsis-associated acute kidney injury (SA-AKI) is a common and severe complication in intensive care unit (ICU) patients, with high incide...

Multimatrix QuantAI-LFIA: An On-Device Deep-Learning Biosensing Platform with Charge-Transfer-Active Labels for Intelligent Quantitative Analysis.

Commercial gold nanoparticle-based lateral flow immunoassays (LFIAs) are widely used for point-of-care (POCT) diagnostics; however, inefficient signal...

Building a Malaria Intelligence System for Real-Time Prediction and Data-Driven Intervention Planning.

Sub-Saharan Africa continues to face the highest malaria burden worldwide, accounting for 95% of malaria cases and deaths according to the World Healt...

Approaches to transcatheter aortic valve replacement failure: is more focus on prevention required?

INTRODUCTION: Transcatheter aortic valve replacement (TAVR) has transformed the management of severe aortic stenosis across all surgical risk strata. ...

Characterization and determination of the immunomodulatory activity of intestinal microbiota microorganisms isolated from free-range Cornu aspersum snails in olive groves before and after aestivation.

The present study investigated the impact of aestivation of free-range snails on the intestinal microbiota and its potential to protect the host from ...

Rapid delineation of Acinetobacter baumannii dose responses to zosurabalpin based on machine learning-assisted interpretation of bacterial nanomotions.

UNLABELLED: Carbapenem-resistant Acinetobacter baumannii (CRAB) represents a major clinical threat, underscoring the urgent need for both new antibiot...

Identification of chemical features for improved outer membrane permeation in mycobacteria using machine learning.

The ability of compounds to permeate and accumulate in bacterial cells is a critical determinant of antibiotic efficacy. Better therapeutics are urgen...

Hybrid deep learning framework for cardiovascular risk prediction in post-COVID-19 patients.

Cardiovascular complications associated with Post-COVID-19 Patients remain difficult to identify at early stages due to heterogeneous physiological ma...

Artificial intelligence (AI)-assisted full-course case management for primary liver cancer: System design, preliminary implementation, and practical considerations.

Primary liver cancer presents substantial management challenges across the surgical trajectory, including high recurrence rates, prolonged rehabilitat...

From companion technologies to social care infrastructure: A multi-level perspective on loneliness-related support in dementia care in an era of artificial intelligence (AI).

Loneliness and social isolation are important psychosocial concerns in dementia care, but they are difficult to address through pharmacological treatm...

Plant-derived compounds and artificial intelligence: Outsmarting microbial pathogens and antimicrobial resistance.

BACKGROUND: From the discovery of the first antimicrobial drug to nowadays, the development of antimicrobial resistance (AMR) - a silent pandemic amon...

Density functional theory and machine learning approaches for deciphering the antifungal properties of aldehydes against Penicillium italicum resistant to prochloraz.

UNLABELLED: Experiments were conducted to evaluate the antifungal activity of chain aldehydes with potent antifungal properties against Penicillium it...

Tree-Guided Graph Neural Networks with Multilevel Optimization for Protein-Protein Interaction Prediction.

Predicting human-virus protein-protein interactions (PPI) is crucial for revealing viral infection and disease development. Graph neural networks serv...