Latest AI and machine learning research in universal precautions for healthcare professionals.
To increase the accuracy of landslide identification via high-resolution optical remote sensing images, this paper presents an improved landslide identification model based on the Mask R-CNN. First, a novel feature image extraction and fusion structure, ResNeSt-RFP, is constructed to enhance the model's capacity for deep landslide feature expression. Second, the improved model incorporates a one-s...
This document serves as the protocol for the development of the Chinese Guideline for the Diagnosis and Treatment of Hospital-Acquired Pneumonia and Ventilator-Associated Pneumonia in Adults (2026 Edition). Since the publication of the previous edition in 2018, the field of HAP/VAP diagnosis and treatment in China has undergone substantial changes, including updates in prevention concepts and meas...
Pasteurella multocida is a respiratory pathogen that is frequently isolated from cattle suffering from bovine respiratory disease (BRD), a leading cau...
Positive airway pressure therapy serves as a core therapeutic strategy for sleep-disordered breathing, with its efficacy generally evaluated via sleep...
Chronic Hepatitis C Virus (HCV) infection remains a significant global health challenge, necessitating the development of pan-genotypic inhibitors to ...
This paper presents a supervised multi-label framework for detecting multidimensional perceived risk in HIV-related Reddit discourse. A longitudinal c...
BACKGROUND: Low-level viremia (LLV) during nucleos(t)ide analogue therapy for chronic hepatitis B (CHB) is clinically relevant, but its biological bas...
Multiplexed and ultrasensitive identification of foodborne pathogens is crucial for food safety. However, conventional methods are limited by complex ...
RATIONALE AND OBJECTIVE: Pyogenic liver abscess (PLA) caused by extended-spectrum β-lactamase-producing Enterobacteriaceae (ESBL-PLA) presents major a...
OBJECTIVES: To assess inter-rater agreement and diagnostic performance of six United States National Institute for Occupational Safety and Health-cert...
BACKGROUND: Inappropriate empirical antimicrobial therapy (IEAT) significantly increases mortality in patients with resistant Gram-negative bacteremia...
BACKGROUND: Human immunodeficiency virus (HIV) is a lentivirus belonging to the retrovirus subclass. HIV specifically targets and infects human CD4 + ...
Epigenetic editing achieves durable gene silencing through targeted modification of chromatin and DNA methylation states without altering the genomic ...
Globally, the pathogen-driven enteric diseases remain a leading cause of morbidity and mortality, disproportionately affecting populations in low-inco...
Viral infections are a major contributor to global cancer incidence and mortality. However, integrative reviews that connect viral classification, car...
Clostridioides difficile exemplifies a pathogen that leverages its metabolic plasticity to exploit nutrients that become available during community di...
BACKGROUND: Machine learning (ML), deep learning (DL) and other predictive modelling approaches are increasingly applied to predict antiretroviral the...
Antimicrobial resistance (AMR) continues to outpace development of new therapeutics. Many interventions focus on treating infection after it occurs, b...
Machine learning (ML) is necessary to efficiently identify potent drug combinations within a large candidate space to combat drug resistance. However,...
Acinetobacter baumannii is a critical multidrug-resistant pathogen causing severe healthcare infections with high mortality, yet no licensed vaccine e...