Latest AI and machine learning research in infectious disease for healthcare professionals.
Saliva has emerged as a compelling liquid biopsy for the non-invasive diagnosis and monitoring of both oral and systemic diseases. Secreted by major and minor salivary glands and enriched by gingival crevicular fluid, epithelial turnover, immune mediators, microbial products, and plasma-derived constituents, saliva reflects a biologically integrated interface between local oral environments and sy...
Antimicrobial biocides play a crucial role in infection control. Although traditional detection methods are accurate, they are cumbersome to operate, require trained personnel, and provide only basic recognition without intelligent analysis. Therefore, given the critical role of biocide type and concentration in effective disinfection, there is an urgent need for portable and intelligent monitorin...
INTRODUCTION: Latin America occupies a paradoxical position in hepatitis B virus (HBV) elimination: aggregate prevalence is low, yet the region remain...
OBJECTIVES: To evaluate the suitability of three major open-access ICU databases (Medical Information Mart for Intensive Care IV [MIMIC-IV], eICU Coll...
Paclitaxel (PTX) chemotherapy is constrained by an "immunomodulatory paradox," where antitumor Type I Interferon (IFN-I) activation is coupled with de...
ETHNOPHARMACOLOGICAL RELEVANCE: Antimicrobial resistance (AMR) in livestock is a critical One Health challenge, particularly in low- and middle-income...
BACKGROUND: The advent of artificial intelligence (AI) presents an opportunity to enhance infection prevention practices. However, its use among infec...
Cancer vaccines are emerging as a promising approach in immuno-oncology, with the potential to generate tumour-specific and long-lasting immune respon...
Globally, 340 million people have blindness or moderate-to-severe visual impairment (BVI), which limits independent outdoor navigation and negatively ...
The accurate and rapid identification of bacterial pathogens is essential in clinical setups and medical biodefense. Matrix-Assisted Laser Desorption ...
INTRODUCTION: Transparency has emerged as a foundational condition for trustworthy Artificial Intelligence (AI) in healthcare. Despite its centrality,...
The sixth modeling workshop (6MW) was held in June 2025 at Collegeville, Pennsylvania, USA, and supported by the Recovery of Biological Products Confe...
OBJECTIVE: Community resilience during COVID-19 has been linked to social conditions, public-health capacity, and acute-care resources, but the contri...
OBJECTIVE: To develop and validate interpretable machine learning (ML) survival models for predicting indwelling catheter time (ICT) in early-stage sp...
Budding yeast Saccharomyces cerevisiae and various non-conventional species are widely applied in the production of diverse industrial products, inclu...
Existing studies on prognostic prediction for multidrug-resistant organisms (MDROs) are limited by single-model designs, incomplete consideration of w...
Neoantigens are tumor-specific antigens resulting from genetic, transcriptomic, and proteomic changes, making them a promising avenue for personalized...
OBJECTIVES: Evaluate whether general-purpose large language models (LLMs) demonstrate competencies suitable for antimicrobial stewardship (AMS) suppor...
Aedes aegypti is a major vector of arboviral diseases, including dengue, Zika, and chikungunya, posing significant global public health challenges. Ef...