Latest AI and machine learning research in infectious disease for healthcare professionals.
The study aimed to develop and validate a sepsis prediction model using structured electronic medica...
The long-term presence of antibiotics in the aquatic environment will affect ecology and human healt...
BACKGROUND: The rise of antibiotic-resistant pathogens has intensified the search for novel antimicr...
BACKGROUND: Sepsis is a life-threatening disease associated with a high mortality rate, emphasizing ...
Sepsis remains a leading cause of morbidity and mortality worldwide due to its rapid progression and...
This research was designed to investigate the metabolite profiling, phenolics content, and the trypa...
INTRODUCTION: Antiretroviral therapy (ART) increases the life expectancy of persons living with HIV ...
Marine-derived actinobacteria isolated from sponge and soft coral were screened for antibacterial ...
Surface-enhanced Raman scattering (SERS) show great potential for rapid and highly sensitive detecti...
Since the World Health Organization declared the Coronavirus Disease 2019 (COVID-19) pandemic as an ...
Polymicrobial biofilm infections, especially associated with medical devices such as peripheral veno...
Social networks are increasingly taking over daily life, creating a volume of unsecured data and mak...
The integration of large language models (LLMs) in medical education offers both opportunities and c...
Impedance-based biosensing has emerged as a critical technology for high-sensitivity biomolecular de...
Integrating Artificial Intelligence (AI) across numerous disciplines has transformed the worldwide l...
Dental caries has been one of the most prevalent diseases globally over the last few decades, threat...
A novel automatic framework is proposed for global sexually transmissible infections (STIs) and HIV ...
Pathogenic bacteria are the source of many serious health problems, such as foodborne diseases and h...
IMPORTANCE: Uncomplicated urinary tract infection (UTI) is a common indication for outpatient antimi...
This study investigates the impact of patient stress on COVID-19 screening. An attempt was made to m...
This study aims to construct and validate noninvasive diagnosis models for evaluating significant li...