Latest AI and machine learning research in infectious disease for healthcare professionals.
PURPOSE: The purpose of this study was to develop an artificial intelligence (AI) tool to assist recognition of three major interstitial lung disease (ILD) patterns on high-resolution computed tomography (HRCT) and to evaluate its added value in supporting decision-making for non-specialist radiologists. MATERIAL AND METHODS: This retrospective, multicenter study included 1097 HRCT examinations. O...
Rapid antigenic evolution of influenza viruses complicates timely vaccine strain selection and renders prospective interpretation of serological assays-including neutralization (NT) and hemagglutination inhibition (HI)-increasingly challenging in the face of a continuously shifting antigenic landscape. Here, we propose CIST, a clade-informed deep-learning-based framework for predicting influenza a...
BACKGROUND: Epstein-Barr virus (EBV) infection is a common pediatric infectious disease. Infectious mononucleosis (IM) and hemophagocytic lymphohistio...
BACKGROUND: The spread of OXA-48-like carbapenemases represents a major public health challenge. Although previous studies have investigated OXA-48-li...
Post-COVID-19 syndrome encompasses persistent cognitive, neurological, and psychiatric symptoms following SARS-CoV-2 infection, profoundly affecting g...
This study aimed to develop and validate a machine learning (ML)-based predictive model to identify risk factors associated with intensive care unit (...
A mechanism-guided framework for prioritizing membrane-interaction antimicrobial peptide candidates from proteomics-derived peptide mixtures is presen...
UNLABELLED: Smear microscopy remains widely used for tuberculosis (TB) diagnosis due to its rapid turnaround and low cost, despite its relatively low ...
BACKGROUND: Artificial intelligence (AI) is emerging as a critical tool for nurse practitioners delivering pediatric and adolescent and young adult (A...
Multidrug resistance (MDR) remains the core clinical barrier limiting the achievement of durable and effective treatment for various tumors. With the ...
The influenza viruses (IVs) are major public health risk, causing immense seasonal infections, severe illness, and respiratory deaths yearly. Rapid, a...
Nanomedicine has transformed targeted drug delivery, yet the complexity of nano-bio interactions continues to hinder rational nanoparticle design. Pre...
The stimulator of interferon genes (STING) is a key signalling adaptor in the cGAS-STING pathway of the innate immune system and plays a significant r...
BACKGROUND: Surgical site infections (SSIs) affect 160,000 to 300,000 patients annually, increasing postoperative mortality, causing significant compl...
Antibiotics are among medicine's greatest successes, but resistance evolution threatens their continued efficacy. Decades of research have deepened ou...
Septic cardiomyopathy is a common early complication of sepsis, and its underlying mechanisms remain incompletely understood. In this study, we integr...
Enhancing individual awareness and immunization are generally recognized as fundamental strategies for controlling infectious diseases. Awareness is i...
Tomatoes are the most significant and widely consumed crops globally. Leaf diseases cause an important threat to crop production and quality. Further,...
Lung carcinoma is regarded as lung cancer and is the usual form of cancers worldwide. It cannot be diagnosed easily until it spreads and is regarded a...
BACKGROUND: Coronaviruses including SARS-CoV-2 and MERS-CoV remain threats to global health. Ferritin nanoparticle-based vaccines are promising platfo...