Latest AI and machine learning research in bacterial infection for healthcare professionals.
is an opportunistic agent that can cause a variety of infections, both hospital and community-acquired. Epigallocatechin gallate (EGCG), a flavonoid present in the leaves of , has different biological activities, including antimicrobial potential. Here we evaluate the antibacterial and antibiofilm potential of EGCG in nine clinical strains of with different genetic profile and antimicrobial susc...
Metallic nanoparticles (NPs) possess unique properties which makes them attractive candidates for various applications especially in field of experimental medicine and drug delivery. Many approaches were developed to synthesize divers and customized metallic NPs that can be useful in many areas such as, experimental medicine, drug design, drug delivery, electrical and electronic engineering, elect...
Due to the endless emergence of drug resistant pathogens, there is a constant need for new therapeutic agents for clinical use. The identification of ...
BACKGROUND: Microbes have been shown to play a crucial role in various ecosystems. Many human diseases have been proved to be associated with bacteria...
BACKGROUND: Nowadays, it is needed to explore new routes to treat infectious bacterial pathogens due to prevalence of antibiotic-resistant bacteria. A...
A pivotal issue to achieve success in the treatment of the root canal is root canal disinfection. One of the most important bacteria that infect the ...
This study emphasis the production of yellow pigment from endolichenic sp. isolated from the lichen (Afzel. ex Ach.) B.J. Moore Yellow pigment-produ...
() is a causative agent of multiple outbreaks of foodborne illness associated with fresh produce, including pre-cut melon and leafy vegetables. Curre...
Allplex Bacterial vaginosis assay (Seegene, South Korea) is a molecular test for bacterial vaginosis (BV). A machine learning algorithm was devised on...
species often cause disease in farmed fish. In the present study, dominant bacteria were isolated from diseased crucian carp (). Based on this, a bac...
Growth in open-source hardware designs combined with the low-cost of high performance optoelectronic and robotics components has supported a resurgenc...
Several computational approaches for predicting subcellular localization have been developed and proposed. These approaches provide diverse performanc...
This study aimed to investigate the effects of bacterial endotoxin lipopolysaccharide (LPS) on hormone production and gene expression in duck Leydig c...
(CC), an Indonesian functional food, utilizes the bioactivity of essential oil (MCEO) to maintain oral cavity health. Synergistic interaction betwee...
In the present study, the antimicrobial and the insect repellent activity of 16 botanical extracts obtained by supercritical CO (SCF) extraction were ...
This work introduces a new probabilistic agent-based lattice model for studying the emergence of anti-microbial resistance (AMR) and proposes a new pr...
The ability of multitask learning promulgated its sovereignty in the machine learning field with the diversified application including but not limited...
Climate change has been described to raise outbreaks of water-born infectious diseases and increases public health concerns. This study aimed at findi...
Antimicrobial susceptibility is slow to determine, taking several days to fully impact treatment. This proof-of-concept study assessed the feasibilit...
Raman optical spectroscopy promises label-free bacterial detection, identification, and antibiotic susceptibility testing in a single step. However, a...