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BIOREME x QSP-UK Meeting


Advancing drug discovery and development through quantitative systems pharmacology
From preclinical insights to clinical and in silico innovation

Jubilee Conference Centre, University of Nottingham
Tuesday the 9th of December, with networking event on the evening of the 8th.

Registration Until 1st of December – Click here to register
Early Career Researchers will have accommodation and travel covered as part of their registration.

We’re excited to share the programme for the day, which includes a variety of research talks from both academia and industry.

Session 1: Mathematical modelling in drug discovery
9:00 - Mathematical modelling of asthma: a multi-scale multi-discipline challenge 
Bindi Brook, University of Nottingham
9.15 - Translational modelling to optimise the design and use of new medicines 
James Yates, GSK
9.45 - Structural identifiability analysis: a prerequisite for parameter estimation
Michael Chappell, University of Warwick

Session 2: Role of QSP in preclinical research
10.45 - Semi-mechanistic PK/PD models provide insights into therapeutic strategies for inhibiting the TSLP/TSLPR pathway in asthma 
Emily Pace, Residual Dynamics
11.15 - Mechanistic physiologically based pharmacokinetic modelling of inhaled dry powder and nebulised formulations 
Ian Sorrell, Certara UK

Session 3: Novel modelling approaches applied to QSP
13.00 - Mechanistic models of respiratory viral dynamics to quantify antiviral effects in vivo 
Joseph Standing, University College London
13.30 - Simulating hyperoxia induced bronchopulmonary dysplasia (BPD): a PKPD modelling approach to further the development of BPD treatments for neonates 
Linda Wanika, University of Warwick

Session 4: Translational aspects of QSP
14.45 - TBC
Nic Purcell, Purcell Global
15.15 - Industrial and regulatory use of mechanistic mathematical models - lessons from cardiac safety assessment 
Gary Mirams, University of Nottingham

We hope you’ll join us for what promises to be an engaging and collaborative day.

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10 September

Conference: In Silico Technologies for Respiratory Medicine