Latest AI and machine learning research in bacterial infection for healthcare professionals.
Antimicrobial peptides (AMPs) hold significant potential as broad-spectrum therapeutics due to their...
Bacterial blight in pomegranate, caused by pv. (Xcp), is one of the most devastating diseases, lea...
UNLABELLED: Bacterial vaginosis (BV) is an abnormal gynecological condition caused by the overgrowth...
Bacterial membranes are complex and dynamic, arising from an array of evolutionary pressures. One en...
The conventional detection of COVID-19 by evaluating the CT scan images is tiresome, often experienc...
Advances in bacteriophage genome sequencing and regulatory approvals of some bacteriophages in vario...
Neonatal calf diarrhea (NCD) remains a significant contributor to calf mortality within the first 3 ...
Antimicrobial resistance (AMR) poses risks for food stakeholders because of the spread of resistant ...
The global problem of infectious and deadly diseases caused by microbes such as candida and mycobact...
BACKGROUND: Given the rising number of multidrug-resistant (MDR) bacteria, there is a need to design...
Antibiotic-resistant bacteria pose considerable risks to global health, particularly through transmi...
The emergence and rapid spread of multidrug-resistant bacterial strains is a growing concern of publ...
Foodborne pathogenic infections pose a significant threat to human health. Accurate detection of foo...
Fast and accurate detection of infectious bacteria in wounds is crucial for effective clinical treat...
Array-based sensing technology holds immense potential for discerning the intricacies of biological ...
The motility of bacteria is crucial for navigating competitive environments and is closely linked to...
Antibiotics like Ciprofloxacin (Cfx), tetracycline (Tet) and Tobramycin (Tob) are commonly used agai...
Severe gastrointestinal infections and watery diseases like cholera are still a major worldwide medi...
Brucellosis, a zoonotic disease caused by Brucella bacteria, poses significant risks to human, lives...
In this study, we developed a lightweight and rapid convolutional neural network (CNN) architecture ...
BACKGROUND: Rapid and accurate identification of bacteria is required in order to develop effective ...