Developing an approach towards personalised medicine against ‘superbugs’
For many decades, a ‘one-size-fits-all’ approach has been used for the dosing of antibiotics as single agents or multiple antibiotics in combination therapy. This is increasingly ineffective and has facilitated the emergence of ‘superbugs’ that are resistant to all antibiotics. New antibiotic development has been in decline. Therefore, it is vitally important that the dosage regimens of available antibiotics are optimised to save patients’ lives and preserve antibiotic activity for the future.
Our projects combine dynamic in vitro infection experiments that expose bacteria to antibiotic concentration-time profiles as seen in patients, molecular and genomic studies of mechanisms of action and resistance of antibiotics, clinical pharmacokinetic studies and development of novel mathematical models to optimise treatments for patients.
Projects include flexibility for students to spend the majority of their time undertaking experimental work in our laboratories, or performing mathematical modelling, or a combination of both. The research involves collaborations with microbiologists and clinicians. Students with academic backgrounds in pharmaceutical sciences and/or pharmacy and/or microbiology and/or mathematical modelling are encouraged to apply.