"Enabling Individual Wellness through Computational Systems Biology, Cloud Analytics, Wearables, Machine Learning and More" - Riaan Conradie (Co-Founder, LifeQ) Delivered at the inaugural Hyper Wellbeing Summit, 14th November 2016, Mountain View, California. For more information including details of subsequent events, please visit http://hyperwellbeing.com The summit was created to foster a community around an emerging industry - Wellness as a Service (WaaS). Consumer technologies, in particular wearables and mobile, are powering a consumer revolution. A revolution to turn health and wellness into platform delivered services. A revolution enabling consumer data-driven disease risk reduction. A revolution extending health care past sick care towards consumer-led lifelong health, wellness and lifestyle optimization. WaaS newsletter sign-up http://eepurl.com/b71fdr @hyperwellbeing

1. NOVEMBER 14-16
MOUNTAIN VIEW, CA

2. Riaan Conradie PhD
LifeQ President & Co-Founder
Enabling individual wellness
through computational systems biology,
cloud analytics, wearables,
machine learning and more

3. photo credit: http://www.awaken.com/2014/12/peter-h-diamandis/

4. improve
individual
care centers
care providers
Traditional Healthcare
clinical intervention
clinical diagnostics
+
+
$
+
current health
state
future health
stateworsen
improve
photo credit: www.visiblebody.com

5. improve
individual
care centers
care providers
Traditional Healthcare
clinical intervention
clinical diagnostics
science & tech
companies
+
+
+
+ $
+
current health
state
future health
stateworsen
improve
photo credit: www.visiblebody.com

6. improve
individual
care centers
care providers
Traditional Healthcare
clinical intervention
clinical diagnostics
science & tech
companies
health
insurers
+
+
+
+
$
$
$
+
current health
state
future health
stateworsen
improve
photo credit: www.visiblebody.com

7. improve
individual
care centers
care providers
Traditional Healthcare
clinical intervention
clinical diagnostics
science & tech
companies
health
insurers
+
+
+
+
$
$
$
+
current health
state
future health
stateworsen
improve
food supply
industrial & digital age
in-home entertainment
photo credit: www.visiblebody.com

8. improve
individual
care centers
care providers
Traditional Healthcare
clinical intervention
clinical diagnostics
science & tech
companies
health
insurers
+
+
+
+
$
$
$
+
current health
state
future health
stateworsen
improve
$
$
food supply
industrial & digital age
in-home entertainment
photo credit: www.visiblebody.com

9. Credit: The Economist. Original data sources: Health Expenditure from the OECD, Life
Expectancy from the World Bank. Licensed under CC-BY-SA by the author Max Roser. The
data visualization is available at OurWorldinData.org and there you will find more research
and visualizations on the topic.
• In 1960 the average American only worked 15 days to cover their
whole year worth of health insurance.
• The average earner in the States currently works for 2 months a
year just to cover their healthcare bill
• Almost 1 in 5 Dollars of US GDP are pushed into healthcare.
• 30% of all Medicare expenditures are attributed to the 5% of
beneficiaries that die each year, with 1/3 of that cost occurring in
the last month of life!!
• The shocker statistic…about 90% of the total healthcare bill is due
to chronic disease that is largely preventable!
• Society of Actuaries (SOA) released its latest annual mortality
improvement scale for pension plans earlier this month. They
found that, despite all of the amazing healthcare innovation, the
average 65-year-old American male was expected to live to 86.2
in 2015, while the average female of the same age was expected
to live to 88.2. New projections by the SOA posit that life
expectancy for 65-year-old males is more like 85.8, and 87.8 for
females of the same age.
• Price hikes: Epipen price increase from about $60 in 2007 to
$600 in 2016. Turing Pharmaceuticals increased the price of a
drug by 4000% in a single year.

10. improve
individual
care centers
care providers
Traditional Healthcare
clinical intervention
clinical diagnostics
science & tech
companies
health
insurers
+
+
+
+
$
$
$
+
current health
state
future health
stateworsen
improve
$
$
food supply
industrial & digital age
in-home entertainment
photo credit: www.visiblebody.com
Our current environment is, in many
ways, not fundamentally serving us well
at an individual and at a population level.

11. What about this dream of a world of abundance?
Many even ask: Is technology maybe even bad for us?
…or…
- Technology has been largely applied, in a very siloed way, to address
individual human needs. (Most likely a technology growth phase we are in!)
- Technology outputs are, in many cases, not accessible to the individual or
the population at large. Information is guarded by a group of experts and
cannot be judged on overarching outcomes.

12. The world is fortunately shifting technological gears, and technologists have new
tools to their disposal: faster, cheaper, more powerful and lower power
processing, more and new ways of connecting things, remote processing,
remote data storage, increased data transfer rates & new ways to sense.
This is however not enough, and apart from technology innovation we will need
to also focus on systems design:
• put the user behind the steering wheel, where we, as scientists and
technologists, are the participants. User controlled and user ownership
should be a key priority.
• promote true, non siloed, collaboration between different players (data
providers, data transformers and content delivery)
• A technology world allowing for positive network effects. Think exclusivity.
• Not solely rely on big data approaches, but also consider that big data needs
big theory.

13. “Rather than continuing to fund, pursue and promote ‘blind’ big data
projects with massive budgets, we call for more funding to be allocated to
the elucidation of the multiscale and stochastic processes controlling the
behaviour of complex systems, including those of life, medicine and
healthcare.”
Big data need big theory too
Peter V. Coveney, Edward R. Dougherty, Roger R. Highfield
Published 3 October 2016.

14. improve
individual
care centers
care providers
Traditional Healthcare
clinical intervention
clinical diagnostics
science & tech
companies
health
insurers
+
+
+
+
$
$
$
+
current health
state
future health
stateworsen
improve
$
$
food supply
industrial & digital age
in-home entertainment
User Driven Healthcare & Wellnessphoto credit: www.visiblebody.com
de-identification and
user driven switch
environment
(including social)
physiological
LifeQ Core
behavior
& mood

15. improve
individual
care centers
care providers
Traditional Healthcare
clinical intervention
clinical diagnostics
science & tech
companies
health
insurers
+
+
+
+
$
$
$
+
current health
state
future health
stateworsen
improve
$
$
food supply
industrial & digital age
in-home entertainment
User Driven Healthcare & Wellnessphoto credit: www.visiblebody.com
de-identification and
user driven switch
behavior
& mood
environment
(including social)
physiological
LifeQ Core
other data
transformers
content providers

16. improve
individual
care centers
care providers
Traditional Healthcare
clinical intervention
clinical diagnostics
science & tech
companies
health
insurers
+
+
+
+
$
$
$
+
current health
state
future health
stateworsen
improve
$
$
food supply
industrial & digital age
in-home entertainment
User Driven Healthcare & Wellnessphoto credit: www.visiblebody.com
de-identification and
user driven switch
behavior
& mood
environment
(including social)
physiological
LifeQ Core
other data
transformers
content providers

17. 5
1. Wearable Device Enablement
2. Content Acquisition Enablement
3. LifeQ CORE Analytics and Modeling
4. Data Transformation Enablement
5. Information Delivery Enablement
6. Content Delivery Enablement
7. De-Identification and API Switching Protocol
Technology Components to Enable
Data Provision, Transformation and Consumption
Information Signalng/Switching &
User De-identification Service
7
DE-IDENTIFIED
USER
Personalized Physiological
Information Streams
LIFEQ CORE
ANALYTICS
& MODELING
HEALTH & LIFE INSURERS,
CARE PROVIDERS
1
2 6
3RD PARTY DATA
TRANSFORMERS
disease prevention, lower insurance cost
and better quality, higher access and
lower cost care when required
4
3

18. Current Pilots To Address Corporate Wellness Needs
Engagement Metrics
(sleep architecture, acute stress,
calorie expenditure, fitness metrics,
heart health metrics, etc.)
Individualized health risk and life risk metrics
(cardiovascular health, relative risks for
all cause and cardiovascular mortality)
1
2
USER
Corporate
Insurance
Reinsurance
Wearable Device
enabled with LifeQ
embedded algorithms User Engagement Component
risk underwriting
user demographics
LifeQ enabled
data streams
1
2
2
LifeQ Cloud based
modeling & analytics

20. LifeQ Enabled
Garmin Device
20+ measures and metrics available from the LifeQ API

21. Breathing rate within 2 breaths per minute
for 94% of the duration of a subjects sleep
LifeQ Sleep Apnea solution vs
polysomnography analysis. R=0.85
Sleep related outputs:
Cohen’s kappa on par with in field EEG
based FDA approved devices.

24. Normalized(AU) The hue’s of age
blue(young) to orange(old)

26. Individual with Atrial Fibrillation
Healthy individual

27. n = 1 :)

37. A super exciting line-up (and that’s juts for today!)

38. Abundance, yes, but in a user-driven world where
scientists & technologists act not only as abundance creators, but also
as resource usage advisors that understand the individual users.
This will be the most likely way we will reach
abundant wellbeing.