Project Code
MRCIIAR26Ba Reis
Project Type
Dry lab
Research Theme
Infection, Immunity, Antimicrobial Resistance and Repair
Project Summary Download
Summary
Bacterial infections affect millions of people worldwide. Current methodologies for bacterial identification and antibiotic susceptibility testing (AST) are time consuming or unable to inform about antimicrobial resistance (AMR). Critically, most patients lack access to sophisticated and near-the-patient microbiological laboratories, which means being not properly treated or prescribed unnecessary antibiotics, key drivers of global AMR. This project will pioneer optical and electrical signal detection of bacteria communication through ion channels with microfluidic devices and machine learning for developing a transformative approach to AST in pathogen bacteria in human samples . This will pave a new way to personalised and effective medicine.
Lead Supervisor
Dr Nuno Reis
Lead Supervisor Email
University Affiliation
Bath