Infectious Disease

Predicting neurobehavioral outcomes in people with HIV.

BACKGROUND: This study identified complex, multidimensional, longitudinal biopsychosocial (BPS) phenotypes (MLBPSPs) in people with HIV (PWH) and evaluated their associations with baseline clinical characteristics. METHODS: We included 506 PWH in the multisite CHARTER study who underwent assessments at four visits, 6 months apart. Participants were enrolled in the CHARTER cohort during 2003-2010, ...

Fusarium-responsive materials: A next-generation strategy for sensing, actuation, and sustainable crop protection.

Fusarium spp. are among the most destructive pathogens in global agriculture, posing serious threats to food security, plant health, and sustainability. Traditional detection and control methods often suffer from low specificity, delayed response, and ecological concerns. In this Perspective, we explore the convergence of nanotechnology, chemical sensing, and smart actuation to define a new paradi...

When AI Joins the Social Media Conversation: Exploring the Impact of Simulated AI-Assisted Comments on Health Risk Perceptions and Behaviors.

Misinformation on social media has long been a pressing concern, and its spread is often exacerbated by social endorsement metrics such as likes and s...

Sysmex Cell Population Data for Diagnosing Infection in Patients With Suspected Sepsis in the Emergency Department.

OBJECTIVES: Early diagnosis of suspected sepsis is crucial to improve patient survival. Cell population (CP) data, a set of leucocyte research paramet...

Deep-learning-driven spectral image analysis for intelligent monitoring of multiple pesticides and antibiotics.

With the widespread use of pesticides and antibiotics in agriculture and healthcare, their associated environmental pollution and potential health haz...

Machine learning approaches to predict drug resistance in tuberculosis.

Tuberculosis (TB) remains a global health crisis, with 10.8 million cases and 1.25 million deaths in 2023. The rise of drug-resistant TB has complicat...

Ahnak and Nckap1l as potential diagnostic biomarkers and therapeutic targets in Landiolol-mediated sepsis treatment.

PURPOSE: Landiolol is a beta-blocker used in the treatment of Sepsis. However, how this drug influences key genes and pathways involved in disease rem...

A Deep Learning-Based EffConvNeXt Model for Automatic Classification of Cystic Bronchiectasis: An Explainable AI Approach.

Cystic bronchiectasis and pneumonia are respiratory conditions that significantly impact morbidity and mortality worldwide. Diagnosing these diseases ...

Multiplexed, rapid phenotypic antibiotic susceptibility testing based on angle-resolved light scattering imaging of microfluidic droplets.

INTRODUCTION: There is an urgent need for rapid, high-throughput phenotypic antimicrobial susceptibility testing (AST) capable of assessing a microbia...

Multidrug-resistant pathogens in UTIs: A concise review of epidemiology, diagnostics, and patent landscaping for precision healthcare.

UTIs are regarded as the second most prevalent global problem, with 150 to 250 million cases reported annually. Poor hygiene, anatomical abnormalities...

Comparative Evaluation of Radiomics and Deep Learning Models for Disease Detection in Chest Radiography.

The application of artificial intelligence (AI) in medical imaging has revolutionized diagnostic practices, enabling advanced analysis and interpretat...

Quality control of entomopathogenic nematodes through infrared spectroscopy (FTIR-ATR, 2D-COS): Tracing, modelling and prediction.

Entomopathogenic nematodes (EPNs) are widely used in biological pest control, yet their efficacy in field applications is highly dependent on physiolo...

Deep learning-based cross-device standardization of surface-enhanced Raman spectroscopy for enhanced bacterial recognition.

Surface-enhanced Raman spectroscopy (SERS) is a powerful, label-free technique for pathogen detection; however, its broader adoption in clinical diagn...

Fluid/function correlation using AI-based quantification versus central subfield thickness in treatment-naïve and pre-treated patients with neovascular AMD in a real-world setting.

PURPOSE: To investigate the association between best-corrected visual acuity (BCVA) and quantitative macular fluid volumes, compared to central subfie...

Septic shock: Past, present, and perspectives.

Septic shock remains one of the most severe complications of infection, defined by circulatory, cellular, and metabolic dysfunction and associated wit...

Nivolumab plus ipilimumab for potentially resectable hepatocellular carcinoma: Long-term efficacy and biomarker exploration.

BACKGROUND & AIMS: Immune checkpoint inhibitor-based combination therapy has demonstrated high objective response rates in patients with hepatocellula...

Artificial intelligence and infectious disease diagnostics: state of the art and future perspectives.

Artificial intelligence (AI) is reshaping infectious disease diagnostics by supporting clinical decision making, optimising laboratory and clinical wo...

Artificial intelligence and infectious diseases: an evidence-driven conceptual framework for research, public health, and clinical practice.

As artificial intelligence (AI) is projected to radically shape health care, its role in infectious disease prevention and management is drawing atten...

Artificial intelligence in the development of vaccines for infectious diseases.

Artificial intelligence and infectious diseases: tackling antimicrobial resistance, from personalised care to antibiotic discovery.

Antimicrobial resistance (AMR) is an intractable problem that has the potential to significantly limit advances in human health. Recently, the UN Gene...