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 June 9th 2017, AMC, Amsterdam

Dr Nicky Hekster Technical Presales EMEA IBM Nederland BV Johan Huizingalaan 765 1066 VH Amsterdam

Mobile: +31620303371 n.s.hekster@nl.ibm.com

(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

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

Technology + Health = Impact!

0.5% 0.3%

Smoking Overweight Physical exercise Alcohol Salt Fruit Cholesterol Fish Vegetables Saturated fat

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

• 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.

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

Digital intelligence building blocks to extract knowledge and wisdom from the data

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)

• Understands natural language • Reasons and evaluates • Learns and adapts • Understands and engages an individual

Watson for Oncology

Watson Genomics Advisor

Watson for Clinical Trial Matching

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

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.

- 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

– 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.

• Radiology • Cardiology • Dermatology Clinical Knowledge • Ophthalmology Records • …