Universal precautions

Deep learning-based pressure injury staging: a multicentre study involving 59 hospitals.

BACKGROUND: Accurate assessment of pressure injury staging is essential for guiding appropriate care, reducing patient suffering, alleviating the healthcare burden, and improving quality of life. We aimed to develop a deep learning-based model for pressure injury recognition and to translate the best-performing model into a preliminary smartphone application. METHODS: We conducted a multicentre re...

Public antibody clonotypes and deep learning identify SARS-CoV-2 and HIV broadly neutralizing antibodies in immune repertoires.

Broadly neutralizing antibodies (bnAbs) are essential for the development of vaccines and therapeutics against rapidly evolving pathogens like HIV and SARS-CoV-2, yet traditional discovery methods remain technically challenging and time consuming. Here, we introduce ClonoDeep, an AI-powered platform that integrates public antibody clonotypes with a sequence-based deep learning model to directly id...

Modeling antiretroviral therapy adherence among people living with HIV: a cross-sectional study at Pantang Hospital, Ghana.

BACKGROUND: Poor adherence to antiretroviral therapy (ART) continues to undermine HIV treatment outcomes in sub-Saharan Africa, including Ghana. OBJEC...

Generating Synthetic MR Perfusion Maps From DWI and FLAIR in Acute Ischemic Stroke: Development and External Validation of a Deep Learning Model.

BACKGROUND: Magnetic resonance imaging (MRI) is critical for acute stroke triage, but it is time-consuming and often requires contrast injection for p...

Medical Consultation and HIV Testing After AI-Based Symptom Check: Retrospective Cohort Study.

BACKGROUND: Promoting early HIV testing and patient detection is an important public health goal. In Japan, approximately 30% of the population is dia...

Rapid identification of carbapenem-resistant Acinetobacter baumannii based on MALDI-TOF mass spectrometry and machine learning.

BACKGROUND: Carbapenem-resistant Acinetobacter baumannii (CRAB) is a major pathogen in hospital-acquired infections, and rapid detection is critical f...

Machine learning discriminates bacterial, fungal, and viral infections using temporal blood analyte dynamics in bottlenose dolphins (Tursiops truncatus).

OBJECTIVE: To determine underlying infectious disease as bacterial, fungal, or viral in origin from longitudinal assessment of biochemistry and hemato...

Deep learning-enabled discovery of antibiotics effective against Neisseria gonorrhoeae.

Neisseria gonorrhoeae is a common Gram-negative pathogen with increasing resistance to all recommended antibiotics. There is a critical need to improv...

Post-Pandemic Forecasting of Pediatric Acute Respiratory Infections with Deep Learning: A Multi-Pathogen, Multi-Time-Horizon Study.

BACKGROUND: Acute respiratory infections (ARIs) remain a major cause of morbidity and hospitalization in children worldwide. In the post-COVID-19 era,...

High performance deep-learning model for the diagnosis of auto-immune hepatitis based on histological whole slide images.

Autoimmune Hepatitis (AIH) is a liver disease with a wide clinical spectrum, driven by an abnormal immune response against the liver parenchyma. Chall...

Helicobacter pylori phages: resource landscape, translational challenges, and engineered antibacterial strategies.

Helicobacter pylori (H. pylori) is a globally prevalent gastric pathogen whose increasing antimicrobial resistance has reduced the efficacy of convent...

Tree Killer, Qu'est-ce Que C'est? Insights From Forest Pathogen Genomes.

Forests are central to planetary health but are increasingly challenged by emerging diseases driven by climate change, global trade, and anthropogenic...

New Insights into Genomic Variations and Mutational Events Associated with Plant-Pathogen Interactions.

Plant diseases threaten global food security, causing up to 40% crop yield losses and more than $220 billion in annual economic damage. This review sy...

Artificial intelligence in clinical metagenomic pathogen detection: A critical review of pipeline integrations, challenges, and future directions.

Metagenomic next-generation sequencing (mNGS) has expanded the scope of clinical diagnostics by enabling culture-independent detection of microorganis...

Hazard-portfolio patterns in US food recall severity reveal transferable pathogen signals and firm-specific compliance signals.

The U.S. FDA classifies food recalls into three severity tiers (Class I / II / III), a decision that drives public notification urgency and regulatory...

PhyloCNN: Improving Tree Representation and Neural Network Architecture for Deep Learning from Trees in Phylodynamics and Diversification Studies.

Phylodynamics and diversification studies using complex evolutionary models can be challenging, especially with traditional likelihood-based approache...

From signals to solutions: stress-induced leaf senescence and synthetic biology and AI approaches for crop resilience.

The quality and quantity of plant traits are critically linked to the coordinated onset of leaf senescence. However, both external environmental facto...

Ranked placement of phage predation as a determinant of dehydration severity among cholera patients in Bangladesh.

Virulent bacteriophages (phages) can kill bacterial prey, potentially reducing burden of infection. In cholera, a high phage to Vibrio cholerae ratio ...

Operationalizing One Health Surveillance for Tropical Fungal Diseases: Practical Implications of Bioinformatics for Clinical and Epidemiological Practice.

Fungal infections are an increasing global public health concern yet remain underprioritized because of persistent challenges in diagnosis, treatment,...

A decade of progress towards the elimination of hepatitis C: from the National Strategic Plan to Artificial Intelligence.