Infectious Disease

Artificial Intelligence-Based prediction model for surgical site infection in metastatic spinal disease: a multicenter development and validation study.

BACKGROUND: Treatment of metastatic spinal disease often involves surgical intervention; however, su...

Walking Backward to Ensure Risk Management of Large Language Models in Medicine.

This paper examines in what way providers of specialized Large Language Models (LLM) pre-trained and...

A dataset of microscopic spirometra mansoni for medical image segmentation.

Accurate diagnosis of adult Spirometra mansoni infections remains challenging, due to the limited se...

Correction: Data-driven machine learning algorithm model for pneumonia prediction and determinant factor stratification among children aged 6-23 months in Ethiopia.

Dynamics of Th1/Th17 responses and antimicrobial pathways in leprosy skin lesions.

BACKGROUND: Reversal reactions (RR) in leprosy are acute immune episodes marked by inflammation and ...

Comparative investigation of bagging enhanced machine learning for early detection of HCV infections using class imbalance technique with feature selection.

Around 1.5 million new cases of Hepatitis C Virus (HCV) are diagnosed globally each year (World Heal...

From precision synthesis to cross-industry applications: The future of emerging peptide technologies.

Peptides, derived primarily from natural bioactive sources, play essential roles in human physiologi...

Microrobots for Antibiotic-Resistant Skin Colony Eradication.

Self-propelled nano- and micromachines have immense potential as autonomous seek-and-act devices in ...

CRCpred: An AI-ML tool for colorectal cancer prediction using gut microbiome.

Colorectal cancer (CRC) is a leading cause of death worldwide. A plethora of research shows the alte...

Machine learning prediction models for stroke-associated pneumonia:Meta-analysis.

OBJECTIVE: The heterogeneity of machine learning (ML) models predicting the risk of stroke-associate...

Annual global dengue dynamics are related to multi-source factors revealed by a machine learning prediction analysis.

BACKGROUND: Dengue is a significant global health threat, transmitted by mosquitoes and influenced b...

Photocatalytic microrobots for treating bacterial infections deep within sinuses.

Microrobotic techniques are promising for treating biofilm infections located deep within the human ...

Unveiling the role of microbial rease in ureolysis-induced calcium carbonate precipitation, Its mechanistic insights, and emerging applications.

Urease (urea amidohydrolase, EC 3.5.1.5) is a metalloenzyme that catalyzes the hydrolysis of urea in...

A Novel nor@DHB Matrix for Direct Microbial Analysis in Lung Cancer Tissues.

Dynamic changes occurring in the lung microbiota can impact the initiation, progression, and prognos...

Exploring the complex interplay between oral infection, periodontitis, and robust microRNA induction, including multiple known oncogenic miRNAs.

() is an oral commensal bacterium that can become pathogenic and is associated with periodontitis, ...

Comprehensive analysis and experimental validation of BST1 as a novel diagnostic biomarker for pediatric sepsis using multiple machine learning algorithms.

Bone marrow stromal cell antigen-1 (BST1) expression is elevated in a variety of human diseases, but...

Improved swin transformer-based thorax disease classification with optimal feature selection using chest X-ray.

Thoracic diseases, including pneumonia, tuberculosis, lung cancer, and others, pose significant heal...

In-silico study of approved drugs as potential inhibitors against 3CLpro and other viral proteins of CoVID-19.

The global pandemic, due to the emergence of COVID-19, has created a public health crisis. It has a ...

A dataset for classifying phrases and sentences into statements, questions, or exclamations based on sound pitch.

Speech is the most fundamental and sophisticated channel of human communication, and breakthroughs i...

Streamlining tuberculosis detection with foundation model-based weakly supervised transformer.

Tuberculosis (TB) remains a major global health challenge, particularly in low- and middle-income co...

Prime editor-based high-throughput screening reveals functional synonymous mutations in human cells.

Synonymous mutations are generally considered neutral, while their roles in the human genome remain ...