Using our state-of-the-art bioinformatics software we profile antimicrobial resistance from microbiome samples on a large scale to build genomic resources
Using artificial intelligence we build tools and devices that assist clinicians to accurately identify resistance to prescribe the correct antimicrobial at the right time
Using the tools of systems and synthetic biology we design small molecules to target specific microbes and stop the spread of resistance within a patient
State-of-the-art bioinformatics pipelines that quantify antimicrobial resistance from stool or saliva samples that is used to characterise resistance on a personalised level
Pan-metagenomics resources with quantification of resistance genes across several diseases and countries from gut and oral microbiome data
Dr. Frederick Clasen
Research Associate in Bioinformatics and Systems Biology at King's College London with extensive expertise in microbiome science
Dr. Saeed Shoaie
Senior Lecturer in Systems & Synthetic Biology and group leader of The Translational Systems Biology Group at King's College London.
Prof. Rajiv Jalan
Professor of Hepatology, Head of the Liver Failure Group at University College London and consultant hepatologist at the Royal Free Hospital.