Universal precautions

EXPRESS: A rapid and nondestructive approach for identification of foodborne bacteria using hyperspectral imaging and multimodal technology.

Foodborne illnesses pose a serious threat to food safety and cause substantial economic losses. Hyperspectral imaging (HSI) has emerged as a powerful tool for rapid and non-destructive identification of foodborne pathogens. However, the high chemical similarity among different pathogen categories presents a challenge for accurate discrimination. To address this issue, we developed an optimized mac...

Viral protease-initiated lytic cell death as a universal antiviral mRNA therapy.

While gasdermin (GSDM)-mediated pyroptosis is a potent immune effector, its antiviral potential remains largely untapped. Here, we introduce viral protease-initiated lytic cell death (VID), a universal mRNA therapeutic platform inspired by the modular architecture of GSDM and the clinical success of mRNA vaccines. By engineering gasdermin-D (GSDMD) to harbor viral protease-specific cleavage motifs...

A hierarchical prototype-graph with optimal-transport matching for few-shot rice disease recognition.

Accurate identification of rice diseases from field images is critical for crop health monitoring and sustainable agriculture, particularly in low-res...

DeepHeptox: An Interpretable Deep Learning Model for Multi-Endpoint Hepatotoxicity Prediction of Chemical Compounds.

Hepatotoxicity represents a major adverse outcome of chemical exposure, as the liver plays a central role in xenobiotic metabolism and detoxification....

Vehicle lane change prediction with explainable soft mask attention mechanism and heterogeneous information encoder.

Lane-change intention prediction is critical for intelligent vehicles, and driver decisions depend on the perception and processing of driving context...

Developing machine learning models to improve cardiovascular risk prediction for people living with HIV.

BACKGROUND: As life expectancy rises for people with HIV, atherosclerotic cardiovascular disease (ASCVD) has become a major contributor to morbidity. ...

Bridging the Vaccine Gap: Scientific and Technological Advances for Diseases Lacking Effective Vaccines.

Despite remarkable achievements in infectious disease control, more than 20 major pathogens responsible for significant global morbidity and mortality...

A combi-elasto ultrasound based deep learning model on liver fibrosis staging for suspected MASLD/MASH patients.

OBJECTIVES: Metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated steatohepatitis (MASH) weakened the ...

Artificial Intelligence Across the Vaccine Clinical Trial Lifecycle: Evidence, Readiness, and Guardrails.

Artificial intelligence (AI) is increasingly being used to support clinical research, but its value in vaccine clinical trials requires careful eviden...

Rethinking aging biomarkers in HIV: from measures to meaning.

PURPOSE OF REVIEW: People with HIV (PWH) on effective antiretroviral therapy continue to experience a disproportionate burden of age-related comorbidi...

Generative AI Chatbots for Global HIV Treatment and Care: A Commentary.

Addressing stigma, mental health, and health care access challenges for people living with HIV requires a multifaceted approach. Generative artificial...

PAN4, an AI-designed host-directed immunomodulatory peptide, promotes PGRP-SC1a-associated intestinal immune homeostasis in Drosophila melanogaster.

We identify PAN4 (GAYTFKIRRK), an AI-designed host-directed immunomodulatory peptide, as a modulator of intestinal immune homeostasis in Drosophila me...

Mechanistic Insights into Effector-Mediated Modulation of Rice Mitochondrial Proteins by Magnaporthe oryzae.

Mitochondria are crucial for the plant and animal immunity. The effector protein MoCDIP4 reduces rice immunity by targeting the mitochondria-associate...

Development and internal validation of an interpretable machine learning model using routine laboratory data for systemic sclerosis-associated pulmonary arterial hypertension.

This study aimed to develop and validate an interpretable machine learning (ML) model using routine laboratory data to support clinical decision-makin...

RCAF for patient-level thyroid ultrasound malignancy prediction under leakage-free evaluation and calibration.

Accurate differentiation between benign and malignant thyroid nodules on ultrasound remains clinically important, yet interpretation is operator-depen...

Rapid diagnostics innovations for urinary tract infections using molecular biology, artificial intelligence and antimicrobial resistance surveillance: a comprehensive review.

Urinary tract infections (UTIs) are among the most prevalent bacterial infections worldwide, accounting for a major clinical impact due to high recurr...

Research progress on detection technologies for Mycoplasma pneumoniae.

Mycoplasma pneumoniae (M. pneumoniae) is a primary pathogen responsible for community-acquired pneumonia (CAP), particularly prevalent among children ...

Transforming Pulmonary Arterial Hypertension: Key Milestones and Future Perspectives.

Pulmonary arterial hypertension (PAH) is a rare, progressive disease of the precapillary pulmonary arteries, characterized by fibroproliferative vascu...

Predicting depression severity among people living with HIV in Oman using random forest.

Depression is the most common psychiatric comorbidity among people living with HIV and is associated with an increased risk of disease progression. Ho...

Tight and Flexible Antibody Recognition via Quaternization Interface in Metal-AIEgens Frameworks and Collaborating Ultrabright Luminescence for Intelligent Biosensing.

The analytical performance of an immunoassay is critically limited by a fundamental trade-off: achieving tight binding of antibodies (Abs) to signal r...