Latest AI and machine learning research in bacterial infection for healthcare professionals.
Motility is a fundamental characteristic of bacteria. Distinguishing between swarming and swimming, ...
Preventing waterborne disease caused by bacteria is especially important in low-resource settings, w...
Owing to the unsound cold chain system in China, chilled beef's quality would be affected by psychro...
Antimicrobial peptides (AMPs) are small molecular peptides that widely exist in organisms to resist ...
BACKGROUND AND OBJECTIVE: Pneumonia is the leading cause of hospitalisation and mortality among chil...
Recently, artificial intelligence (AI) has emerged as a transformative tool, enhancing the speed, ac...
Accurate bacterial gene prediction is essential for understanding microbial functions and advancing ...
BACKGROUND: The differential diagnosis of invasive pulmonary aspergillosis (IPA), pulmonary mucormyc...
Infectious diseases, a major contributor to high mortality rates, often exhibit similar symptoms, de...
Antimicrobial resistance (AMR) is a growing global health crisis, threatening the effectiveness of a...
As antimicrobial resistance rises, new antibacterial candidates are urgently needed. Using sequence ...
OBJECTIVES: The World Health Organization has identified Klebsiella pneumoniae (KP) and Pseudomonas ...
Non-ribosomal peptides (NRPs) are promising lead compounds for novel antibiotics. Bioinformatic mini...
Staphylococcus aureus (S. aureus) is the leading risk factor for food safety and human health. Herei...
The growing prevalence of infectious diseases and the increasing threat of bacterial resistance have...
Can we understand and predict the evolutionary pathways by which bacteria acquire multi-drug resista...
Bacterial infections have been demonstrated to cause the premature failure of implants. A reliable s...
Soil microorganisms are crucial to ecosystem health, and their composition and distribution are shap...
Microplastic mitigation strategies that adapt to various actual aquatic environments require the abi...
Detecting lung abnormalities via chest X-rays is challenging due to understated tissue variations of...
Application of machine learning-based methods to identify novel bacterial enzymes capable of degradi...