Latest AI and machine learning research in infectious disease for healthcare professionals.
➢ Peptides lack a rigid tertiary structure, allowing them to adopt a variety of conformations, and can be engineered for specific targets. This article examines the design principles underlying orthopaedic peptide applications, from preclinical candidates to clinically validated drugs.➢ The use of peptides in orthopaedics began with naturally occurring agents, such as bone morphogenetic proteins, ...
The transformer architecture in deep learning has revolutionized protein sequence analysis. Recent advancements in protein language models have paved the way for significant progress across various domains, including protein function and structure prediction, multiple sequence alignments and mutation effect prediction. A protein language model is commonly trained on individual proteins, ignoring t...
This study aims to improve pneumonia diagnosis by integrating attention-based U-Net models for lung segmentation with fuzzy logic-enhanced CNNs for cl...
Sustainable production of biofuels and biochemicals from renewable biomass represents a promising alternative to fossil-based feedstocks, offering sig...
INTRODUCTION: The existing predictive models for talaromycosis in people living with HIV without skin lesions are limited by established risk factors ...
Most respiratory pathogens exhibit distinct seasonal and periodic outbreak patterns driven by climatic factors. However, predictive models that jointl...
Candida auris is a major public health concern worldwide due to its efficient transmission, environmental persistence, and broad resistance to approve...
Accurate sound localization is critical to navigation and foraging in echolocating animals. During both passive listening and active echolocation, bat...
BACKGROUND: Postoperative delirium is a common complication after cardiac surgery, and perioperative inflammation may contribute to its development. H...
Alkaloid N-demethylation is a critical step in the production of many semi-synthetic alkaloid therapeutics and has traditionally relied on synthetic c...
Pediatric septic shock is a severe form of sepsis with high mortality. Histone deacetylation is involved in sepsis-related disorders. This study inves...
INTRODUCTION: Antimicrobial resistance (AMR) represents one of the greatest global public health challenges and is intensified by inappropriate antimi...
2'-O-methylation (Nm) is a key epitranscriptomic mark across diverse RNAs, yet its role in antiviral defense remains largely unexplored. To systematic...
BACKGROUND: SARS-CoV-2 remains a common cause of acute respiratory illness; however, symptom-based triage poorly discriminates it from other febrile c...
While gasdermin (GSDM)-mediated pyroptosis is a potent immune effector, its antiviral potential remains largely untapped. Here, we introduce viral pro...
The rapid spread of acute respiratory infections (ARIs) poses a major challenge to global public health, yet current surveillance systems relying on s...
This study aims to develop and validate an MRI-based image-language collaborative framework for differentiating tuberculous spondylitis (TB) from pyog...
Artificial intelligence (AI) systems for chest X-ray (CXR) interpretation can achieve high standalone diagnostic accuracy, yet limited transparency ra...
BACKGROUND: Sepsis-induced myocardial injury (SIMI) is a common complication in sepsis patients with poor prognosis. Consequently, its early accurate ...
OBJECTIVE: To develop and validate a machine learning model for predicting ICU mortality in CHF patients with pulmonary infection. METHODS: Clinical d...