Digitalisation of the medicines lifecycle: challenges and opportunities

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1 Digitalisation of the medicines lifecycle: challenges and opportunities Anthony Rowe Data & Knowledge Management SGG

2 Three trends in technology today Ubiquity of the Internet

3 Three trends in technology today Ubiquity of the Internet Rise of the Post-PC Era

4 Three trends in technology today Ubiquity of the Internet Rise of the Post-PC Era The volume of data

Using Digital Technology for Research http://www.parkinsonsvoice.

5 Using Digital Technology for Research A voice based study for Parkinson's disease Create a database 10,000 recordings to build digital biomarkers of PD Accessible to 750,000,000 individuals A test for Parkinson's with a phone call Max Little, TEDGlobal 2012

6 HOW HAS THE IMI RESPONDED?

7 WEB-RADR: Mobile and Social Technology for Pharmacovigilance English, French and German or Spanish language analysed Consortium keen for global applicability What else can social media tell us - Abuse? - Misuse? - Counterfeit? Geo pharmacovigilance a possibility?

8 RADAR-CNS: Remote Assessment for Disease and Relapse

9 Use of Real World Data Electronic Health Records for Clinical Reseach European Medical Informatics Framework Big Data for Better Outcomes

10 The Big Data for Better Outcomes programme at a glance "Big data for better outcomes" Goal: Support the evolution towards outcomes-focused and sustainable healthcare systems, exploiting the opportunities offered by big and deep data sources Design sets of standard outcomes and demonstrate value COORDINATION AND SUPPORT ACTION (CSA) published in Dec 2015 EUROPEAN DISTRIBUTED DATA NETWORK Increase access to high quality outcomes data Use data to improve value of HC delivery ROADS: ALZHEIMER'S DISEASE published in Oct 2015 Increase patient engagement through digital solutions Coordination and operational topics Themes / Enablers HEMATOLOGIC MALIGNANCIES - published in Oct 2015 CARDIOVASCULAR published in Dec 2015 PATIENTS' MULTI-COMORBIDITIES Diseasespecific topics RARE CANCERS PROSTATE CANCERS MULTIPLE SCLEROSIS Future topic proposals 10

11 Enabling Precision Medicine across the IMI 40 Supported Public Private Partnerships 9 Open Source tools for the analysis of Omics data 350 Researchers trained in etriks technology 58 Publically available data sets

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13 Is it a Game, Is it Healthcare

14 AI Breakthroughs: Jeopardy and Go 1997 IBM s Deep Blue beats top ranked Chess Champion 2011 IBM s Watson wins Jeopardy 2016 Google DeepMind s AlphaGo Beats 9 th Dan Go Champion AI & Machine Learning is having a renaissance how can we safely and ethically use this in the future of medicine

15 Underlying Computing Trends 5.00E E+14 LINPACK SCORES AlphaGO 4.00E E E E E E E+14 Watson 5.00E+13 Deep Mind 0.00E Sources: Wikipedia & Hacker News

16 Underlying Computing Trends 1.00E E E E E E E E E E E E E E E+01 Deep Mind LINPACK SCORES Watson AlphaGO 1.00E Sources: Wikipedia & Hacker News

17 Hyperconnected People, Things & Services What does healthcare look like in a world that has 8 Billion Connected People* A Trillion Connected Sensors* Software as a Diagnostic SaaDX Software as a Therapy SaaRX *2025 Predictions from

18 EFPIA Brussels Office Leopold Plaza Building Rue du Trône 108 B-1050 Brussels - Belgium Tel: +32 (0)

Medical Education Activities

Medical Education Activities Author: Marie-Claire PICKAERT EFPIA Deputy Director General BioMed Alliance Brussels, 9 November 2016 MCP 07-11--2016 Declaration of Interest Marie-Claire Pickaert is a full-time