Universal precautions

Prospective genomic and epidemiologic surveillance of Klebsiella pneumoniae in a tertiary NICU.

BACKGROUND: Klebsiella pneumoniae complex (Kp) is a relevant neonatal pathogen colonizing preterm infants. While outbreak investigations often focus on multidrug-resistant strains, the epidemiology and genomic dynamics of wild-type Kp in nonoutbreak neonatal intensive care unit (NICU) settings remain elusive. METHODS: We conducted a 30-month (October 2021 to March 2024) cohort study with weekly ac...

MethylSense: high accuracy machine learning-based diagnostics for Aspergillus fumigatus infection in chickens using host cell-free DNA methylation and Nanopore sequencing.

Avian aspergillosis, caused by Aspergillus fumigatus (Af), lacks sensitive antemortem diagnostics. Existing microbial cell-free DNA (cfDNA) tests are prone to contamination and require a high pathogen load. We hypothesized that infection-induced tissue damage in chickens creates differentially methylated regions (DMRs) in host cfDNA, enabling machine learning (ML) diagnostics. Serum cfDNA samples ...

Implementation of pathogen genomics in clinical microbiology laboratories.

SUMMARYPathogen genomics, including whole-genome sequencing (WGS) and clinical metagenomics, is a transformative technology increasingly being impleme...

Toward Precise Risk Stratification after the Functional Cure of Chronic Hepatitis B.

Chronic hepatitis B remains a major global health challenge despite the advances in antiviral therapy. Although hepatitis B surface antigen (HBsAg) se...

Predicting the evolutionary and structural compensation in Tat ARM region across HIV-1 groups using machine learning approach.

Predicting cervical cancer among women living with HIV/AIDS at public health facilities in a resource-limited setting in Ethiopia using machine learning analysis.

Whole-genome sequencing and machine learning reveal candidate genomic features associated with Listeria monocytogenes persistence in two ice cream facilities.

Listeria monocytogenes is a major foodborne pathogen responsible for listeriosis. Ice cream has emerged as an important vehicle for L. monocytogenes t...

Updates on tuberculosis imaging.

Tuberculosis (TB) remains a leading infectious cause of morbidity and mortality worldwide, and major diagnostic and therapeutic challenges persist des...

Deep learning-enabled ratiometric signal transduction for portable and intelligent colorimetric LAMP biosensing of Vibrio vulnificus.

Vibrio vulnificus is a highly lethal zoonotic pathogen associated with seafood consumption and aquaculture environments, demanding rapid and reliable ...

From risk to resilience: A narrative review on strengthening veterinary clinical biosecurity to prevent healthcare-associated infections.

Veterinary clinical biosecurity is key to preventing infectious diseases in animal clinics, particularly when there is high patient turnover, a mix of...

Analytical validation of a highly accurate and reliable next-generation sequencing-based urine assay.

Urinary tract infections (UTIs) are diagnosed based on symptoms and confirmed by urine culture, despite its limitations in sensitivity. False-negative...

[Prevention in Gastroenterology].

Gastroenterology offers a broad, evidence-based range of preventive measures that goes beyond colorectal cancer screening. As a specialty of systemic ...

Whole genome sequencing precision medicine strategy to shorten treatment for rifampicin-resistant tuberculosis (SMARTT): a pragmatic, randomised, single-blind phase 4 trial.

BACKGROUND: All patients with rifampicin-resistant tuberculosis should receive a short course of effective treatment. We aimed to evaluate the effecti...

Mortality Prediction Among People Living With HIV on Antiretroviral Therapy in Public Health Facilities in Gondar City Administration, Northwest Ethiopia: Machine Learning-Based Study.

BACKGROUND: Predicting mortality among people living with HIV enables clinicians to implement timely, targeted, and preventive interventions at the st...

Low-latency HRV analysis from ultra-short ECG windows using a modular deep-learning framework.

We present a universal modular deep-learning framework and demonstrate its application to low-latency, streaming-compatible heart rate variability (HR...

Decoding stress resilience in soybean: Regulatory networks and precision breeding under climate change.

Soybean (Glycine max L.), a key global source of protein and oil, is increasingly threatened by climate change-driven environmental stresses, includin...

Harnessing machine learning models to repurpose drugs targeting HIV-1 integrase, protease, and reverse transcriptase.

The human immunodeficiency virus type 1 (HIV-1) is a type of retrovirus responsible for immunodeficiency syndrome, a sickness that significantly compr...

Deep learning-based identification of visually similar foliar diseases in field-grown barley.

BACKGROUND: Accurate segmentation of foliar diseases under field conditions is essential for large-scale phenotyping, as breeding programs rely on rel...

Association between diagnostic history and cancer incidence within 5 years: a real-world observational analysis.

Cancer is associated with many pre-existing health conditions (PHCs), but accurately quantifying these links remains challenging. Although some studie...

Small RNAs as systemic signals in plant defense: mechanisms, challenges, and future directions.

Small RNAs (sRNAs) have emerged as central regulators of gene expression, coordinating development, stress responses, and immunity across plant tissue...