Infectious Disease

Assessing predictive accuracy of 2D digital templating in fluoroscopy-guided direct anterior approach total hip arthroplasty.

INTRODUCTION: Preoperative 2D digital templating aids surgical planning in total hip arthroplasty (THA). We evaluated template accuracy by comparing preoperative templated measurements with postoperative findings and final implant sizes. METHODS: We retrospectively reviewed a consecutive series of 100 patients who underwent fluoroscopy-guided direct anterior approach (DAA) THA by a single surgeon ...

Equiflow: An open-source software package for evaluating changes in cohort composition.

Clinical research studies routinely apply exclusion criteria and data preprocessing steps that can substantially alter dataset composition, potentially introducing hidden biases that affect validity and generalizability. This is particularly important in artificial intelligence/machine learning (AI/ML) studies where models learn patterns directly from training data. We developed Equiflow, an open-...

MosQNet-SA: Explainable convolutional-attention network for mosquito classification with application as a RESTful API for dengue and malaria risk mapping.

Mosquito-borne diseases represent a significant global health challenge. Over 700,000 people succumb to mosquito-borne diseases annually, highlighting...

Deep learning analysis of sugar beet (Beta vulgaris ssp vulgaris) protease inhibitors interacting with identified trypsins from its primary pathogen, the sugar beet root maggot Tetanops myopaeformis.

Beta vulgaris ssp. vulgaris (sugar beet) is one of two plants globally from which sugar is widely produced, accounting for 55% of U.S. sugar $1B (U.S....

Deep learning-enabled scaffolding of spatial arrays of PfCSP epitopes.

Malaria is a leading cause of disease in developing countries. The licensed malaria vaccine RTS,S/AS01 confers partial protection in part due to the e...

Infectious medical waste characterization using X-ray transmission with Machine learning.

In Germany, around 425,400 Mg of specially healthcare-related waste is generated annually, of which 2.4% (10,100 Mg) is infectious (EWC 18 01 03*). It...

Antimicrobial peptides in malaria and tuberculosis management: a systematic review of emerging evidence.

AMPs (Antimicrobial peptides) are small molecules that are crucial components of biological activities, viz wound healing, angiogenesis, antimicrobial...

irAE-GPT: leveraging large language models to identify immune-related adverse events in electronic health records and clinical trial datasets.

BACKGROUND: Large language models (LLMs) have emerged as transformative technologies, revolutionising natural language understanding and generation ac...

State-of-the-art of surface-enhanced Raman spectroscopy for pathogenic bacterial identification.

Rapid and accurate identification of pathogenic bacteria is essential for safeguarding public health. However, existing approaches, including conventi...

SDS-CRISPR for Single-Nucleotide Variant Detection.

The CRISPR-Cas12a system offers a promising platform for simple and sensitive nucleic acid diagnostics, including tumor-associated variant detection a...

Comparison of Artificial Intelligence Tools With Human Coding for Sentiment, Topic, and Thematic Analysis Tasks of Public Health Datasets During the COVID-19 Pandemic in Australia: Case Study.

BACKGROUND: Public opinion, which may be influenced by personal experiences, news, and social media, can impact compliance with public health measures...

How Well Can AI and Physics-Based Simulations Predict the Probability a Cryptic Pocket Is Open?

Identifying and understanding cryptic pockets remains a compelling goal in drug discovery, as they can offer new avenues for targeting proteins that a...

Comparative evaluation of feature selection methods for HRV-based survival modeling in HIV-positive ICU patients: a retrospective study.

Enthusiasm and hesitation: a structural topic modelling analysis of long-acting injectable PrEP perceptions among Dutch-speaking MSM.

BACKGROUND: Long-acting injectable PrEP (LA-PrEP) is a novel HIV prevention modality recently approved in Europe, offering an important addition to HI...

A multimodal predictive model incorporating transcriptomic-guided blood biomarkers and clinical variables for sepsis-associated acute kidney injury.

Sepsis-associated acute kidney injury (SA-AKI) is a major complication in the intensive care unit (ICU), and early risk stratification remains challen...

A Histone Deacetylase Activity Model for the Discovery and Validation of Sepsis Biomarkers.

INTRODUCTION: Histone deacetylases (HDACs) play critical roles in immune regulation and inflammatory responses in sepsis. This study identified HDAC-r...

Predicting public Intensive care unit mortality and hospitalization using Data: An evaluation of Brazil's Largest COVID-19 epidemiological dataset.

OBJECTIVES: To assess the SRAG dataset's potential for modeling COVID-19 mortality and LOS-ICU, identify key data gaps, and support the development of...

Integrative proteomics to illuminate host-parasite interactions in malaria.

Genomic studies have transformed malaria research but provide only indirect proxies for the functional processes that govern infection progression and...

Screening and dynamic change study of microbial and metabolite markers for calf diarrhea based on multi-omics and machine learning.

UNLABELLED: Neonatal calf diarrhea is a leading cause of calf mortality and substantial economic loss in the livestock industry, yet the dynamic micro...

Single-Bacterium Screening of Oral Pathogens by Terahertz Near-Field Nanoscopy Derived Multiparameter.

Accurate identification of oral bacteria is essential for assessing oral and systemic diseases. Conventional phenotyping methods and molecular biology...