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Date/Time
Date(s) - 23/07/2014
10:00 am - 6:00 pm

Location
ORTUS Learning and Events Centre

Category(ies)


flyer 140613

Organised by the Bioinformatics group at the BRC-MH and Maudsley Digital this symposium will showcase the important role of big data in mental health biomedical research

Registration

Please register for this event on Eventbrite


Schedule

Talk abstracts are available here

0900 Pre-event: Morning tea and coffee

1000 Welcome

1020 Michael T Lynskey, King’s College London
Integrating epidemiological, geographic and statewide administrative data

1050 Maxim Osipov, University of Oxford
From questionnaires to objective data – continuous monitoring of mania and depression symptoms using mobile phone sensors

1120 Tea

1135 Richard Jackson, King’s College London
Concept extraction from clinical free text, and integration with research datasets.

1155 Amos Folarin, King’s College London
Quantitative monitoring of the patient behaviour and environment using small wearable devices and mobile phone sensors — a feasibility study on automated sleep measurement

1215 Chris Hollis, MindTech, Nottingham (mindtech.org.uk)
NIHR MindTech HTC: harnessing technological innovation to transform mental healthcare

1300 Lunch

1340 Will Spooner, CTO Eagle Genomics
The journey from 100,000 genomes to personalized medicine. Opportunities and challenges from an informatics perspective.

1420 Zina Ibrahim, King’s College London
Multi-agent systems for randomized control trials in routine practice

1440 Sean Maskey, South London and Maudsley NHS Foundation Trust
Big data, better information. A clinician’s wish list.

1510 Tea

1525 Maneesh Juneja (maneeshjuneja.com)
How can Digital Health technologies improve outcomes, lower cost and improve care in Mental Health

1615 Panel Discussions

1700 Post-networking drinks

Maneesh Juneja (maneeshjuneja.com)
How can Digital Health technologies improve outcomes, lower cost and improve care in mental health?

Chris Hollis, MindTech Nottingham (mindtech.org.uk)
NIHR MindTech HTC: harnessing technological innovation to transform mental healthcare

Will Spooner, Eagle Genomics
The journey from 100,000 genomes to personalised medicine. Opportunities and challenges from an informatics perspective

Maxim Ozipov, University of Oxford, Centre for Doctoral Training in Healthcare Innovation (http://users.ox.ac.uk/~wolf3400/)
From questionnaires to objective data – continuous monitoring of mania and depression symptoms using mobile phone sensors

Sean Maskey, SLaM
Title TBC

Zina Ibrahim, KCL
Multi-agent Systems for Randomised Control Trials in routine practice

Amos Folarin, KCL
Quantitative monitoring of patient behaviour and environment using small wearable devices and mobile phone sensors – a feasibility study on automated sleep measurement

Richard Jackson, KCL
Concept extraction for Clinical Free Text and Integration with Research Datasets

Michael K Lynskey, Professor of Addictions, KCL
Integrating epidemiological, geographic and statewide administrative data

Sean Maskey, SLaM
Big data, better information. A clinician’s wishlist.