Infectious Disease

Cervical cancer diagnostics: non-coding RNAs and biosensors to AI-derived methods.

Cervical cancer ranks fourth in terms of cancer mortality among women. The most important risk facto...

Predicting neurobehavioral outcomes in people with HIV.

BACKGROUND: This study identified complex, multidimensional, longitudinal biopsychosocial (BPS) phen...

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...

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...

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 populat...

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 associate...

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...

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 influen...

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 a...

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 susceptibi...

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 reporte...

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 pra...

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 ...

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 detectio...

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...

Septic shock: Past, present, and perspectives.

Septic shock remains one of the most severe complications of infection, defined by circulatory, cell...

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 objec...

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

Artificial intelligence (AI) is reshaping infectious disease diagnostics by supporting clinical deci...

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 ...

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 lim...