Infectious Disease

Integration of transcriptomic data identifies CD163 as a key link between chronic rhinosinusitis with nasal polyps and COVID-19.

BACKGROUND: Emerging evidence has highlighted a potential link between chronic rhinosinusitis with nasal polyps (CRSwNP) and coronavirus disease 2019 (COVID-19). However, the exact mechanism driving this association is not well understood. We aimed to explore the biological pathways and differentially expressed genes (DEGs) involved in CRSwNP and COVID-19 by performing bioinformatic analyses. METH...

CRISPR-Cas system: recent advancements in prompt diagnosis of high-risk HPV genotypes in cervical cancer.

INTRODUCTION: The CRISPR/Cas system has emerged as a highly versatile platform for diagnosing infectious diseases, particularly viral pathogens. Human papillomavirus (HPV) comprises of more than 200 types, with persistent infection by 14 high-risk genotypes recognized as the primary cause of cervical cancer worldwide. Early and accurate detection of these High-Risk HPV (HR-HPV) types is essential ...

Data-Driven Bioprocess Optimization: Lipase Production by Aspergillus Niger ATCC 1004 in COCOA and Palm Oil Byproducts Based Solid State Fermentation.

mRNA vaccines in cancer immunotherapy: current progress and perspectives in solid tumors and hematologic malignancies.

The unprecedented success of mRNA vaccines during the COVID-19 pandemic has accelerated the development of nucleic acid-based therapeutics, particular...

Performance of Large Language Models vs Conventional Machine Learning for Predicting Clinical Outcomes With Limited Data: Comparative Study.

BACKGROUND: Machine learning (ML) can be used to predict clinical outcomes. Training predictive models typically requires data for hundreds or thousan...

Deep-Learning Algorithm Diagnostic Support for Usual Interstitial Pneumonia Pattern Recognition in Fibrotic Interstitial Lung Disease.

BACKGROUND AND OBJECTIVE: High resolution computed tomography (HRCT) scan diagnostic classification for usual interstitial pneumonia (UIP) plays a cri...

Bulk Microarray and Single-Cell Transcriptomic Analyses Reveal Bacterial Lipopolysaccharide-Related Biomarkers in Sepsis.

Sepsis, a life-threatening condition triggered by dysregulated host response to infection, poses significant global health challenges. Identifying lip...

The Evaluation of Machine Learning Models Using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF-MS) Spectra for the Prediction of Antibiotic Resistance in Klebsiella pneumoniae.

Antimicrobial resistance in Klebsiella pneumoniae poses a major clinical challenge, driving development in rapid, diagnostic strategies that extend be...

Exploring Knowledge, Attitudes, and Practices of Dental Hygiene Students Regarding Artificial Intelligence.

Purpose Artificial intelligence (AI) is increasingly used in health professions education, yet little is known about dental hygiene students' knowledg...

Predicting Post-Induction Hypotension in Diverse Surgical Populations: A Multiclass Classification Universal Model Using Machine Learning Techniques.

PURPOSE: Our study aims to develop a machine learning model that not only predicts the occurrence of post-induction hypotension (PIH) but also assesse...

A metabolite-augmented FIB-4 machine learning panel achieves superior liver fibrosis staging in chronic liver disease.

Accurate, non-invasive liver fibrosis detection is essential for chronic liver disease management, particularly with rising metabolic dysfunction-asso...

DIGITAL SOLUTIONS FOR TUBERCULOSIS SURVEILLANCE AND CONTROL IN PRIMARY HEALTH CARE: A SCOPING REVIEW.

Digital solutions are essential for eliminating tuberculosis as a public health problem. They can be applied across all stages of patient care, health...

Short-chain fatty acid-producing microbes differentiate non-infectious and infectious neutropenic fever in leukemia.

UNLABELLED: Neutropenic fever (NF) is often the first sign of infection in patients with hematologic malignancies, but its cause is frequently unknown...

Optimizing Machine Learning-Based Diagnosis of Neurosyphilis in HIV-Negative Patients: A Multicenter, Real-World Comparison of International Diagnostic Criteria.

AbstractNeurosyphilis continues to rise globally, yet diagnosis remains challenging, often requiring multidisciplinary expertise and multiple CSF assa...

Machine learning-guided rational engineering of ACE2-derived peptides for broad-spectrum neutralization of SARS-CoV-2 variants.

The dynamic mutational landscape of SARS-CoV-2, especially within the spike glycoprotein's RBD, continues to undermine the effectiveness of available ...

Federated Learning Framework for Privacy-Preserving Explainable AI-Driven Clinical Decision-Making.

The application of artificial intelligence (AI) in clinical diagnostics has shown substantial potential; however, conventional centralized learning fr...

A Systematic Review and Meta-analysis of Externally Validated Epic Clinical Decision Support Tools.

BACKGROUND: Clinical Decision Support (CDS) tools integrated with Electronic Health Records increasingly guide clinical practice. Epic Systems, storin...

Complex-valued proximal neural network method for solving complex-valued mixed variational inequalities.

This paper proposes a complex-valued proximal neural network (CPNN) method for solving complex-valued mixed variational inequalities (CMVIs) directly ...

Conventional and novel platelet parameters: Clinical and laboratory approaches.

INTRODUCTION: Platelet count and related indices obtained from the complete blood count (CBC) play an important role in the diagnosis, monitoring, and...

Machine learning and probabilistic approaches for forecasting infectious disease transmission and cases.

OBJECTIVES: Forecasting the effective reproductive number (Rt) and infection case counts is critical for guiding public health responses. We developed...