Latest AI and machine learning research in bacterial infection for healthcare professionals.
We identify PAN4 (GAYTFKIRRK), an AI-designed host-directed immunomodulatory peptide, as a modulator of intestinal immune homeostasis in Drosophila melanogaster. PAN4 lacks detectable bactericidal activity against Pseudomonas aeruginosa in vitro but improves host survival following infection, supporting a host-directed mode of action rather than direct pathogen killing. Genetic analyses indicate t...
SUMMARYLeptospirosis, a widespread zoonotic disease caused by pathogenic Leptospira species, remains a major public health challenge, particularly in tropical and subtropical regions. Despite advances in understanding Leptospira biology and pathogenesis, effective disease control continues to be limited by the lack of rapid, early diagnostics, and broadly protective vaccines. This review comprehen...
Bacterial biofilms are major contributors to persistent and chronic infections. Conventional methods used to quantify biofilms, such as the crystal vi...
Many bacterial species form self-organized macroscale patterns through swarming. Despite its extensive genetic tractability, Escherichia coli remains ...
The emergence of bacterial resistance to antibiotics poses a significant threat to human health; thus, there is an urgent need for new strategies in u...
Urinary tract infections (UTIs) are among the most prevalent bacterial infections worldwide, accounting for a major clinical impact due to high recurr...
Rapid and reliable prescreening and early risk stratification of postoperative meningitis (PNM) remain challenging because clinical symptoms are nonsp...
Macrocyclic peptides (MPs) are privileged molecular architectures in drug discovery that combine the target selectivity of biologics with the pharmaco...
UNLABELLED: This study aimed to establish a thorough proof of concept for an innovative, fully automated, non-destructive, and label-free approach for...
Luminescent materials with stimulus-responsive and discriminable optical outputs are highly desirable for advanced on-site sensing and biosecurity mon...
Multiplexed and ultrasensitive identification of foodborne pathogens is crucial for food safety. However, conventional methods are limited by complex ...
Colorectal cancer (CRC) represents a significant global health burden. Leveraging machine learning (ML) with metagenomic and tissue-specific data pres...
Biofilms are a major cause of delayed wound healing, yet current biofilm identification methods are limited by invasiveness, processing times, or spec...
Tuberculosis is a deadly airborne disease caused by Mycobacterium tuberculosis. Drug-resistant tuberculosis presents significant challenges for treatm...
Flagellin, the structural protein of bacterial flagella, activates the innate immune receptor Toll-like receptor 5 (TLR5). However, the ability of dif...
Drought stress is one of the most critical constraints limiting crop productivity worldwide, particularly under increasing water scarcity driven by cl...
The emergence of multidrug-resistant (MDR) Pseudomonas aeruginosa poses a serious threat to burn wound healing, necessitating the development of alter...
Living inorganic nanomaterials are defined as inorganic nanostructures that are integrated with living bacteria, cells, or biologically active cell-de...
Rapid and accurate identification of bacterial pathogens and their degree of pathogenicity is essential for guiding antimicrobial therapy. Current cul...
CONTEXT: The accurate identification of febrile infants who are at risk for invasive bacterial infections (IBIs), ie, bacteremia and meningitis, is es...