Latest AI and machine learning research in universal precautions for healthcare professionals.
Antigenically diverse pathogens such as coronaviruses pose substantial global health threats, highlighting the need for broad-spectrum vaccines. Here, we introduce Spectravax, a computational method that designs broad-spectrum vaccines accounting for genetic diversity in both host and pathogen populations. Using Spectravax, we designed a nucleocapsid (N) antigen to elicit cross-reactive immune res...
Bacterial keratitis is a major cause of corneal blindness worldwide, with marked differences in clinical presentation and risk factors across regions. In high-income countries, contact lens use is the leading risk factor, while in low- and middle-income countries, trauma-related infections are more prevalent. Management relies on timely diagnosis and sensitivity-guided topical antibiotic therapy. ...
BACKGROUND: Prompt diagnosis of bloodstream infections (BSIs) is critical for antimicrobial stewardship but hindered by blood culture delays of 48 h o...
Antimicrobial resistance phenotype prediction (AMRPP) provides a computational alternative to conventional susceptibility testing. While most studies ...
Tomatoes are the most significant and widely consumed crops globally. Leaf diseases cause an important threat to crop production and quality. Further,...
BACKGROUND: The homeless population in Bogotá exhibits complex social and health vulnerabilities, with a high prevalence of chronic and communicable d...
In patients with hematological disorders, the high risk of complex infections caused by immune dysfunction and intensive therapies poses a major chall...
INTRODUCTION: Enteric bacterial pathogens are a major cause of diarrhoeal disease in low-income and middle-income countries, with complex transmission...
BACKGROUND: To develop and validate a deep learning (DL) model based on feature fusion with B-mode ultrasound (BMUS) and contrast enhanced ultrasound ...
BACKGROUND: Chronic liver disease (CLD) and its progression to compensated cirrhosis (CC), decompensated cirrhosis (DC), and acute-on-chronic liver fa...
Neurodegenerative diseases (NDDs) are multifactorial disorders with increasing evidence implicating viral infections in their pathogenesis. However, c...
The development of plasmonic electrochemical biosensors using the new generation of deep learning algorithms is a potent pathway toward the troublesom...
Neuroinflammation is common in people with HIV (PWH) and may be reflected also in plasma biomarkers; the latter are sometimes used as surrogates for C...
BACKGROUND: Robust forecasting of hepatitis B trends is important for long-term surveillance and public health planning in China. However, evidence re...
Transcription factors (TFs) and nucleotide-binding leucine-rich repeat (NLR) genes are core components of the immune response in rice against Magnapor...
Array-based sensing technology holds immense potential for the rapid identification of pathogenic bacteria. Nevertheless, developing a universal strat...
Accurate and highly sensitive detection of pathogenic bacteria is essential to public health. Conventional biosensors often rely on bulk signal amplif...
BACKGROUND: Methicillin-resistant Staphylococcus aureus (MRSA) is a major nosocomial pathogen that can be carried asymptomatically or cause invasive i...
Engineered neutrophils, modified via advanced biotechnological tools, are emerging as pivotal agents in translational medicine. By integrating gene ed...
BACKGROUND: Electronic consultations (e-consults) improve specialist access but burden providers. We developed LiVersa, a customized large language mo...