the impact of big data and ai on your health · © 2017 ibm watson health dr nicky hekster...

The impact of Big Data and AI on your Health June 9th 2017, AMC, Amsterdam

© 2017 IBM Watson Health


Dr Nicky Hekster Technical Presales EMEA IBM Nederland BV

Johan Huizingalaan 765 1066 VH Amsterdam Mobile: +31620303371 [email protected]

Introduction Speaker


(Potential) conflict of interest IBM Watson Health

For this conference relations with other companies or institutes

OIZ, member of subgroup Standardization Member of IHE Nederland

Sponsoring, compensation, fees or research grants with a commercial company

None

Disclosure


IBM in Healthcare and Lifesciences 1950 – 2016

1953, Heart-lung machine 1982, Eyelasering

1991, nanoMRI for viruses

2010, Sequencing the cacao genome

1966, Digitization

2007, 3D-Avatar 2008, Mayo Clinic Medical Imaging Lab

2011, Watson

2000, Blue Gene Supercomputer


Technology + Health = Impact!

Please stand up!


Contribution of different determinants to our health Source: http://www.eengezondernederland.nl/Heden_en_verleden/Determinanten

7

0.3% 0.5%

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


Determinants of health – the holistic view During our lifetime

20%

10%

70%Clinical data Medical reports, claims, payments, medication history, lab results, episodic data, …

Exogenous data Behavioral, socio-economical, lifestyle, environmental, psychological, nutrition, exercise, metabolism, …, but also weather, traffic, world events, …

Genetics data Endogenous, proteomics, metabolomics, micro-arrays, microbiome, …

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


The world of wearables, swallowbles, implantables, … Citizen/patient reported and generated data


Apps, social media, trusted and validated Internet sources… Citizen, elderly, athletes, patient, care professional, ….

10


• 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.

Doctors are suffering from infobesity

© 2017 IBM Watson Health 12 © 2014 International Business Machines Corporation

The Healthcare Industry is dealing with data overload

Capturing and using data enables new insights into populations and individualized care


2016: Google DeepMind AlphaGo wins Go

Artificial Intelligence is cool, but in fact it is very old

1974- 1980: 1st AI “Winter”

1970s 1980s 1990s

1956: “Birth” of AI John McCarthy coins term artificial intelligence (AI) at Dartmouth Conference

1965: First Expert Systems Stanford team led by Ed Feigenbaum creates DENDRAL and MYCIN

1987- 1993: 2nd AI “Winter” 1950: Turing Test

Turing introduces way to test for intelligent behavior

1990s: AI on www AI-based extraction programs prevalent on the www

1997: Deep Blue IBM Deep Blue defeats World Chess Champion

2014: Facebook Recognize individuals

2005: Autonomous car Stanford-built autonomous car wins DARPA Grand Challenge

2014: The market changes IBM formation of Watson Group and Google acquisition of Nest Labs

2011: Watson IBM’s Watson competes and wins on Jeopardy!

1960s 1950s 2010… 2000s


1. There is a huge amount of data


3. We have faster processors (GPUs) and computers


4. Programming has become much easier, developing apps faster


So we have: Digital intelligence building blocks to extract knowledge and wisdom from the data


History of IBM Watson

2011 Jeopardy!

Grand Challenge

Demonstration

2006 – 2010 Research Project

R&D

2011–2013 Internal

Startup Division

Market Validation

2014–present IBM

Watson Group

Commercialization

2015 IBM Watson Health

Industry Vertical Thomas J. Watson

(1874 – 1956)


The Jeopardy! Watson in 2011


IBM Watson Cognitive Technology Platform in the Cloud

• Understands natural language

• Reasons and evaluates

• Learns and adapts

• Understands and engages an individual

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Watson for Oncology

Watson Genomics

Advisor

Watson for Clinical

Trial Matching

Watson in Oncology


Data-driven Analytics

Insights Predictive Models

Data

Personalized engagement, data-driven analytics, and Watson

Published Knowledge

Can be • Population Based or • Personal, Longitudinal

Personalized Advice

Hi, I’m Watson. I can help you

meet your health goals


Personal diabetes coach on a smartphone Sugar.IQ - Powered by Watson

The app predicts a low bloodsugar event 3 hours in advance


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.


Teva’s Patient Technology Platform (e-RespiClick / e-SpiroMax)

- Dose confirmation (inhaled flow) - Dosing date/time stamp - Peak Inhaled Flow (PIF)

SABA (rescue)

ICS (inhaled corticosteroids) + LABA (controllers)

Asthma Guardian

- Clinical Study on efficacy of solution on going

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

- Over-use SABA alerts - Under-use controller alerts - Location-based triggers - Lung health tracking

SABA/LABA = Short/Long Asthma Beta Agonist


Some Healthcare and Life Sciences start-ups Powered by Watson


Nutrino A Watson-powered app for expectant Moms-to-Be

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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.


The Internet of the Body The cognitive hypervisor

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Crowd-sourced personalization of health and wellness


What more? For example … deep learning and computer vision

• Radiology

• Cardiology

• Dermatology

• Ophthalmology

• …

Clinical Records

Knowledge


Project Lucy – Watson in Africa


https://www.ibm.com/watson/education/

38


IBM Watson Twist

ibmchefwatson.com

Thanks for your attention!

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https://www.youtube.com/watch?v=yV_6sd32oW0

the impact of big data and ai on your health · © 2017 ibm watson health dr nicky hekster...

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