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PPP Data Science for Child Health: Inaugural Symposium

27 February 2020, 10:00 am–1:00 pm

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Event Information

Open to

All

Availability

Yes

Organiser

PPP Communications Team

Location

Leolin Price Lecture Theatre
30 Guilford Street
London
WC1N 1EH

Join us for the inaugural UCL Great Ormond Street Institute of Child Health Data Science Symposium! Learn about the ground-breaking research using big and complex healthcare data carried out at the Institute and beyond. This symposium is part of the UCL GOS ICH Data Science Strategy.

 

Convenor: Dr Pia Hardelid, Associate Professor of Epidemiology, UCL GOS ICH
09.50 -10.00    Welcome and introduction
    
10.00 – 10.40    Short-fire presentations on new, cutting-edge data science projects
Dr Michelle Heys, Senior Clinical Lecturer (UCL GOS ICH)
Neotree

Dr Silke Gastine, research fellow, (UCL GOSH ICH)
Application of PK/PD Modelling to optimize Antibiotic Treatment in Neonates and young Infants.

Dr Pau Puigdevall-Costa, BRC Research fellow (UCL GOSH ICH)
Genetic background effects in human iPSCs and iPSC-derived cell types

Dr Pia Hardelid, Associate Professor of Epidemiology (UCL GOS ICH)
PICNIC study
    
10.40 – 11.40    Ground-breaking results 
Dr Ania Zylbersztejn, Research Associate (UCL GOS ICH)
Why do children die? Using administrative linked data to inform policy priorities

Professor Neil Sebire, Professor of Paediatric and Developmental Pathology (UCL GOS ICH & Great Ormond Street Hospital)
Using real world clinical data for research; role of a digital research environment

Dr Claire Deakin, Senior Research Associate (UCL GOS ICH)
Emulating the target trial for a second-line treatment in a rare disease when a clinical trial wouldn’t be feasible
    
11.40 – 12.00    Networking and refreshments
    
12.00 – 13.00    Keynote Lecture
Professor Sarah Walker
Professor of Medical Statistics and Epidemiology (University of Oxford and University College London)
Using different types of routinely collected electronic health record data for infectious diseases surveillance
    
13.00    Close