Infectious Disease

Scale-Dependent Heterogeneity Drives Microbial Insurance in Phyllosphere Algal-Bacterial Networks during Lake Eutrophication.

The algal-bacterial symbiotic communities within the submerged macrophyte phyllosphere exhibit significant potential for lake restoration. However, their response mechanisms to environmental heterogeneity remain unclear, as traditional experiments or models typically overlook the complexity of cross-kingdom microbial networks. To address this, we established a cross-scale framework that integrates...

Post-treatment infection prediction in CLL using domain adaptation of lymphoma electronic health records.

BACKGROUND AND PURPOSE: Infections are the leading cause of morbidity and mortality in patients with chronic lymphocytic leukemia (CLL) and occur during and after treatment. When deciding on the type of CLL treatment, the risk of infections is typically assessed based only on age and comorbidities; therefore, there is a need to develop a predictive model that incorporates information from multiple...

From fermentation to function: a critical review of lactic acid bacteria redesign for functional foods and precision nutrition.

Lactic acid bacteria (LAB) have transitioned from their traditional roles in food preservation and flavor enhancement to more advanced applications su...

Enhancing LGBTQ+ Inclusivity in an AI-Powered Sexual Health Chatbot: User-Centered Design Approach Through a Nonprofit and Academic Partnership.

BACKGROUND: Despite the growing use of digital platforms for sexual health education, many tools fail to meet the needs of LGBTQ+ (lesbian, gay, bisex...

Analysis of Associated Factors and Construction of Risk Prediction Models for Frailty in Hospitalized Older Adults Living With HIV: Protocol for a Prospective Observational Study.

BACKGROUND: The aging trend of people living with HIV or AIDS in China is increasing day by day. Frailty is a common condition among older adults livi...

A New Dawn: Resident Recruitment in the United States in the Post-COVID Era.

The widespread adoption of virtual residency interviews in response to the COVID-19 pandemic led to an explosion in literature comparing the pros and ...

Assessing mortality risk in pulmonary tuberculosis and severe malnutrition: development of the IIR marker via artificial intelligence.

Pneumonia detection from enhanced chest X-Ray images based on Double SGAN model.

Medical imaging plays a crucial role in clinical diagnosis, however, deep learning models often struggle with imbalanced datasets, which has a negativ...

Perception of vaccine myths in daily clinical practice: A survey of healthcare professionals.

Introduction. Misinformation is a barrier to immunization. The objective was to describe and categorize vaccine-related myths reported by healthcare p...

Enhanced YOLO-based framework and benchmarking for automated Plasmodium vivax detection.

Despite remarkable progress in global health and increased life expectancy in the 21st century, malaria remains a major parasitic disease-causing sign...

Artificial intelligence in orthopaedics: Enhanced examinations, ambient intelligence and the future of clinical practice.

Artificial intelligence (AI) continues to rapidly transform the practice of medicine, with clinicians increasingly adopting data-driven decision-makin...

Multi-modal machine learning and molecular modelling reveal structurally diverse inhibitors of Mycobacterium tuberculosis protein tyrosine phosphatase B.

Protein tyrosine phosphatase B (PtpB) is a virulence-associated phosphotyrosine phosphatase secreted by Mycobacterium tuberculosis (Mtb), known to dis...

Framing the Convergence of One Health and Digital Health in the Global South With a Gender-Sensitive Foresight Perspective: Delphi Study Using Latent Semantic Analysis.

BACKGROUND: The convergence of digital health and One Health represents an emergent paradigm in global health governance. While widely discussed in hi...

Examining Artificial Intelligence Chatbots' Responses in Providing Human Papillomavirus Vaccine Information for Young Adults: Qualitative Content Analysis.

BACKGROUND: The growing use of artificial intelligence (AI) chatbots for seeking health-related information is concerning, as they were not originally...

RGTFormer: Predicting mutation-associated multi-drug resistance in Mycobacterium tuberculosis using a categorical gated transformer and relational graph convolutional network.

Tuberculosis (TB), caused by Mycobacterium tuberculosis, remains a major global health concern, especially due to multi-drug resistance. Resistance of...

Ultrasound-assisted quercetin treatment for mono- and dual-species biofilm eradication in milk: Modeling and optimization using GA-ANN approach.

The presence of mono- and dual-species biofilms in food industry poses a critical threat with respect to food security and safety at a global scale. T...

Non-invasive ovulation tracking enables genetic engineering in wild rodents.

Many non-model rodent species are inaccessible to genetic engineering due to our limited understanding of their reproductive biology. Here, we present...

Graphdiyne-assisted LDI-MS for rapid, non-invasive urine metabolomic profiling in tuberculosis screening.

Tuberculosis (TB) remains a major global health burden. Here we report a rapid, noninvasive urine-based metabolomics approach using graphdiyne (GD)-as...

Metabolic Fingerprint-Mediated Chemical Nose Strategy: Precise Identification of Foodborne Bacteria Based on a 4-MU Derivative Fluorescence Array.

Accurate identification of foodborne microorganisms is a key priority for food safety. Focused on the common principles of microbial metabolism, a met...

Interpretable machine learning-based real-time sepsis diagnosis.