We’re delighted to welcome Professor Saye Khoo, Professor of Pharmacology and Therapeutics at the University of Liverpool and Honorary Consultant Physician in Infectious Disease at Liverpool University Hospitals NHS Foundation Trust, who will be presenting at our upcoming PSI seminar. Professor Khoo leads a research programme in antiviral therapy and is Chief Investigator for the international DolPHIN consortium and for AGILE. His work focuses on optimising antivirals to treat or prevent HIV, including in special populations such as pregnant women and newborn infants. His research is underpinned by highly sensitive drug measurement and mathematical modelling to predict drug exposure across body compartments and individuals.

The seminar will be chaired by Khiyam Hussain and it will take place from 12:30 to 13:30 in the lecture theatre, Richard Doll Building. This will be followed by a networking session, during which lunch will be provided.

Abstract
The study of drug-drug interactions has led to the development of the Liverpool Drug Interactions Prescribing Resource for HIV, hepatitis, cancer and, in 2020, for experimental COVID-19 therapies. These resources are widely accessed and used by treatment guidelines throughout the world (including WHO), returning 18 million searches in the past three years. He has served on expert advisory groups and guidelines committees for the British HIV Association, WHO, British Infection Society, UK Home Office, British Transplant Society, European Society for Organ Transplantation and the International AIDS Society.

Biography
Saye Khoo is Professor of Pharmacology and Therapeutics at the University of Liverpool and Honorary Consultant Physician in Infectious Disease at Liverpool University Hospitals NHS Foundation Trust. He leads a research programme in antiviral therapy and is Chief Investigator for the international DolPHIN consortium and for AGILE. Research interests include optimisation of antivirals to treat or prevent HIV, including in special populations such as pregnant women and newborn infants. This work is underpinned by highly sensitive drug measurement in his GCP-accredited laboratory and mathematical modelling to predict drug exposure within body compartments and between people.