Tool: DupCheckTool: DupCheck

www.DupCheck.org is a web-based tool to screen for duplicate patients in clinical trials within and across studies, sponsors and therapeutic areas. Please visit our "Tools" page for more information.


Project FlyerProject Flyer


Click here to download 
the NEWMEDS project flyer! 


ConsortiumConsortium
consortium teaser

QuicklinksQuicklinks
Project Office Project Office Annual PGB and WP Leads Meetings Annual PGB and WP Leads Meetings Project Governance Project Governance Funding Mechanisms Funding Mechanisms




  Members Area
Username:
Password:



EU
IMI | The Innovative Medicines Initiative
EFPIA | European Federation of Pharmaceutical Industries and Associations

Conferences

 

Workshop: Machine Learning for Neuroimaging and its Relevance to Drug Discovery

Dates: Monday, 30 September & Tuesday, 1 October 2013

Location: Centre for Neuroimaging Sciences, Institute of Psychiatry, KCL, London, SE5 8AF.

Organizers: Prof Michael Brammer, Dr Orla Doyle; IoP/KCL, London

On 30 September and 1 October 2013, the Institute of Psychiatry at King’s College London London ran a machine learning workshop for the NEWMEDS and wider academic and industry communities. The workshop was run to showcase the NEMWEDS machine learning toolbox which is designed for the analysis of clinical and pharmacological data. The workshop was fully-booked with a diverse group of NEWMEDS Partners, King's College London (Institute of Psychiatry) and other colleges of London University.  Attendances were 30 on the 1st day and 15 on the 2nd day .

The first day was lecture-based with a motivational introduction to machine learning and tutorials on machine learning, connectivity for machine learning as well as an overview of the applications of machine learning for pharmacological imaging data, delivered by Prof. Mick Brammer, Dr. Orla Doyle, Mr. Richard Joules and Dr. Mitul Mehta. These lectures were designed to provide participants with a rich conceptual insight into several seminal machine learning techniques and the ability to critique the implementation of machine learning methods. In the evening, a demonstration of the NEWMEDS machine learning toolbox was presented. On day two, an additional demonstration of the toolbox was provided and then attendees spent the rest of the day using the toolbox to apply machine learning to either the provided demonstration datasets or data which they had brought to the workshop. The feedback from the workshop was excellent with participants expressing their excitement for using the toolbox in the future. In addition, attendees felt the workshop had greatly enhanced their understanding of machine learning for clinical data.

CONFERENCES