Latest AI and machine learning research in bacterial infection for healthcare professionals.
Biohybrid bacteria-based microrobots are increasingly recognized as promising externally controllabl...
The design of simple microrobotic systems with capabilities to address various applications like car...
COVID-19 has infected millions of people worldwide over the past few years. The main technique used ...
Non-destructive detection of human foodborne pathogens is critical to ensuring food safety and publi...
Mycobacterium tuberculosis (Mtb) is a pathogen of major concern due to its ability to withstand both...
We have developed a system for bacteria identification based on absorption spectroscopy in the mid-i...
A widespread and escalating public health problem worldwide is foodborne illness, and foodborne Salm...
Here we report the development of MolPredictX, an innovate and freely accessible web interface for b...
Pathogenic bacterial infections, exacerbated by increasing antimicrobial resistance, pose a major th...
Microorganisms growing in their habitat constitute a complex system. How the individual constituents...
Unequal usage of synonymous codons is known as codon usage bias (CUB), which is generally different ...
: Treatment for urinary tract infections (UTIs) is usually empiric and is based on local antimicrobi...
Sepsis is a systemic inflammatory response caused by pathogens such as bacteria. Because its pathoge...
All organisms contain antimicrobial peptides (AMPs), which are a critical component of the innate im...
BACKGROUND: Pneumonia is an infection of the lungs that is characterized by high morbidity and morta...
Pneumonia is a common lung disease that is the leading cause of death worldwide. It primarily affect...
Infectious diseases have always been a major threat to the survival of humanity. Additionally, they ...
Deep learning provides the healthcare industry with the ability to analyse data at exceptional speed...
Photosynthetic bacteria wastewater treatment is an efficient water pollution treatment method, but p...
This work demonstrates and guides how to use a range of state-of-the-art artificial neural-networks ...
On-chip training remains a challenging issue for photonic devices to implement machine learning algo...