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The Impact of Big Data and AI on Your Health June 9Th 2017, AMC, Amsterdam The impact of Big Data and AI on your Health th June 9 2017, AMC, Amsterdam © 2017 IBM Watson Health Introduction Speaker Dr Nicky Hekster Technical Presales EMEA IBM Nederland BV Johan Huizingalaan 765 1066 VH Amsterdam Mobile: +31620303371 [email protected] © 2017 IBM Watson Health Disclosure (Potential) conflict of interest IBM Watson Health For this conference relations with OIZ, member of subgroup Standardization other companies or institutes Member of IHE Nederland Sponsoring, compensation, fees or None research grants with a commercial company © 2017 IBM Watson Health IBM in Healthcare and Lifesciences 1950 – 2016 1953, Heart-lung machine 1966, Digitization 1982, Eyelasering 1991, nanoMRI for viruses 2007, 3D-Avatar 2008, Mayo Clinic Medical Imaging Lab 2000, Blue Gene Supercomputer 2010, Sequencing the cacao genome © 2017 IBM Watson Health 2011, Watson Please stand up! Technology + Health = Impact! © 2017 IBM Watson Health © 2017 IBM Watson Health Contribution of different determinants to our health Source: http://www.eengezondernederland.nl/Heden_en_verleden/Determinanten 0.5% 0.3% Smoking Overweight Physical exercise Alcohol Salt Fruit Cholesterol Fish Vegetables Saturated fat © 2017 IBM Watson Health 7 Determinants of health – the holistic view During our lifetime Exogenous data Genetics data Behavioral, socio-economical, lifestyle, environmental, Endogenous, proteomics, metabolomics, psychological, nutrition, exercise, metabolism, …, but also micro-arrays, microbiome, … weather, traffic, world events, … 20% 10% 70% Clinical data Medical reports, claims, payments, medication history, lab results, episodic data, … Sources: "The Relative Contribution of Multiple Determinants to Health Outcomes", Lauren McGover et al., Health Affairs, 33, no.2 (2014) "J.M. McGinnis et al., “The Case for More Active Policy Attention to Health Promotion,” Health Affairs 21, no. 2 (2002):78–93 © 2017 IBM Watson Health The world of wearables, swallowbles, implantables, … Citizen/patient reported and generated data © 2017 IBM Watson Health Apps, social media, trusted and validated Internet sources… Citizen, elderly, athletes, patient, care professional, …. © 2017 IBM Watson Health 10 Doctors are suffering from infobesity • Medical information doubles every 3 years. By 2020 it is expected to double every quarter. • 80% of the healthcare professionals spends at most 5 hrs/month to keep abreast of his domain. • Only 55% of the knowledge doctors use is evidence based: 1 out of 5 diagnoses are wrong or incomplete. © 2017 IBM Watson Health The Healthcare Industry is dealing with data overload Capturing and using data enables new insights into populations and individualized© 2014© 2017 IBM International Watson12 Health care Business Machines Corporation Artificial Intelligence is cool, but in fact it is very old 1990s: AI on www AI-based extraction programs prevalent on the www 2005: Autonomous car Stanford-built autonomous car wins DARPA Grand Challenge 1956: “Birth” of AI John McCarthy coins term 1974- 1980: 1st AI “Winter” 2014: The market changes artificial intelligence (AI) at IBM formation of Watson Group and Dartmouth Conference Google acquisition of Nest Labs 1950s 1960s 1970s 1980s 1990s 2000s 2010… 1950: Turing Test 2016: Google nd 2011: 1987- 1993: 2 AI “Winter” DeepMind Turing introduces way to test Watson AlphaGo wins Go for intelligent behavior IBM’s Watson competes 1965: First Expert Systems and wins on 2014: Facebook 1997: Deep Blue Jeopardy! Stanford team led by Ed Recognize individuals Feigenbaum creates DENDRAL and IBM Deep Blue defeats World MYCIN Chess Champion © 2017 IBM Watson Health 1. There is a huge amount of data © 2017 IBM Watson Health © 2017 IBM Watson Health 2. There are better algorithms 3. We have faster processors (GPUs) and computers © 2017 IBM Watson Health 4. Programming has become much easier, developing apps faster © 2017 IBM Watson Health So we have: Digital intelligence building blocks to extract knowledge and wisdom from the data © 2017 IBM Watson Health History of IBM Watson 2006 – 2010 2011 2011–2013 2014–present Research Jeopardy! Internal IBM Project Grand Challenge Startup Division Watson Group R&D Demonstration Market Validation Commercialization 2015 IBM Watson Health Industry Vertical Thomas J. Watson (1874 – 1956) © 2017 IBM Watson Health The Jeopardy! Watson in 2011 © 2017 IBM Watson Health © 2017 IBM Watson Health © 2017 IBM Watson Health © 2017 IBM Watson Health IBM Watson Cognitive Technology Platform in the Cloud • Understands natural language • Reasons and evaluates • Learns and adapts • Understands and engages an individual © 2017 IBM Watson Health 25 Watson in Oncology Watson for Oncology Watson Genomics Advisor Watson for Clinical Trial Matching © 2017 IBM Watson Health Personalized engagement, data-driven analytics, and Watson Can be • Population Based or • Personal, Longitudinal Hi, I’m Watson. Data-driven Insights I can help you Analytics Predictive Models meet your health goals Data Personalized Advice Published Knowledge © 2017 IBM Watson Health Personal diabetes coach on a smartphone Sugar.IQ - Powered by Watson The app predicts a low bloodsugar event 3 hours in advance © 2017 IBM Watson Health Apple ResearchKit and Apnea and Sleep • ResearchKit, an open source framework that, when combined with IBM's big data analytics and Watson's scalable data-mining, predictive analytics and cognitive capabilities, will provide medical researchers with insights. better insight drawn from a diverse global population. © 2017 IBM Watson Health Teva’s Patient Technology Platform (e-RespiClick / e-SpiroMax) SABA (rescue) - Dose confirmation (inhaled flow) Asthma - Dosing date/time stamp Guardian - Peak Inhaled Flow (PIF) - Over-use SABA alerts - Under-use controller alerts - Location-based triggers - Clinical Study on efficacy of solution on going - Lung health tracking ICS (inhaled corticosteroids) + LABA (controllers) Leverage real-time inhaler use and lung function monitoring to personalize treatment and predict risk of exacerbations by aligning Teva technology with Watson Health Cloud capabilities SABA/LABA = Short/Long Asthma Beta Agonist © 2017 IBM Watson Health Some Healthcare and Life Sciences start-ups Powered by Watson © 2017 IBM Watson Health Nutrino A Watson-powered app for expectant Moms-to-Be © 2017 IBM Watson Health 32 Identification of patients at-risk for psychosis – 1 out of every 100 people between the ages of 14 and 27 is at high risk for psychosis. – Language markers – speech coherence, phrase length, use of determiner words to link phrases, … – 100% correctly identified the at-risk patients who went on to develop psychosis. © 2017 IBM Watson Health The Internet of the Body The cognitive hypervisor © 2017 IBM Watson Health 34 Crowd-sourced personalization of health and wellness © 2017 IBM Watson Health What more? For example … deep learning and computer vision • Radiology • Cardiology • Dermatology Clinical Knowledge • Ophthalmology Records • … © 2017 IBM Watson Health Project Lucy – Watson in Africa © 2017 IBM Watson Health https://www.ibm.com/watson/education/ © 2017 IBM Watson Health 38 IBM Watson Twist © 2017 IBM Watson Health ibmchefwatson.com Thanks for your attention! 40 .
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