Faster Cures For All
Geoffrey H. Siwo
Co-Founder Fit2Cure
Lurie Medical Research Center
Northwestern University, Chicago, IL
A century of exponential
progress in Health
In 100 years, Life expectancy
increased 100%
93% reduction in child mortality
Time from bench to bedside
much shorter
~200 years since discovery of scurvy-lemon juice association to implementation
Faster time to clinic, last 100
years
But….
7 million children die before
age of 5
Faster Cures For All
Bench to bedside still takes
too long
17 years
$1 Billion
90% Failure
>10,000 Monogenic diseases
We don’t even have data for
most of these diseases
Cystic Fibrosis
>95% of diseases have no
cures
Most medicines don’t work in
most people
Allen Roses, GSK VP Genetics
Why?
Human Genetic Diversity is
Massive
Faster Cures For All
Faster Cures For All
Current system can’t cope
We must empower millions to
be part of discovery
Can we really?
What if we do?
Are we ready for it?
Is our policy ready for it?
Can we?
~3 billion people online by
end of this year
Faster Cures For All
Faster Cures For All
What if each computer/
mobile was a lab?
Yes, it’s possible…
… in Africa

2003: Undergraduate in Africa doing computational modeling of HIV on a pay-to-go computer

2003 to 2005: organized
Bioinformatics training for fellow
students

2010: Students in 2003 group organize
First Virtual Bioinformatics Conference in
Africa
…in USA

• 15 year old Jack Andraka develops pancreatic cancer test: 100 times
more sensitive and 28 times cheaper
Even more complex
experiments will be possible
Virtual Physiological Human
Virtual Heart- Cardiod project

• Near-cellular resolution Real-time simulation
of the electrophysiology of the human heart
Virtual Brain
These complex experiments will
come to your computer
Faster Cures For All
Everywhere
628,000 members
2.5 million devices
796,000 years of computing
Something from the Nobel
prize in Chemistry 2013
Faster Cures For All
>Half a billion people play
computer/ video games for at
least 1 hour a day
Why not solve science
problems in games?
Faster Cures For All
Fit2Cure
A lab and a scientist on every
computer
Computers are incredibly fast, accurate
and stupid. Human beings are incredibly
slow, inaccurate and brilliant. Together
they are powerful beyond imagination
With Co-Founders Ian Sander and Victoria Lam
Drug discovery pipeline
Identify disease

Isolate protein involved in disease (2-5yrs)
Foldit
Find a drug effective against disease protein (2-5yrs)

Fit2Cure

Preclinical Testing (1-3yrs)
Formulation & Scale-up
FILE IND:
Human clinical trials (2-10yrs)
FILE NDA: FDA
approval (2-3yrs)
Game interface
Competition! +
Social Impact
Compete with friends!

In the future:
For our top scoring players, we
will be donating (real) money
to an approved research
center or rare & neglected
disease institute of your
choosing, and in your name.
Emergent patterns in
play trace
• Expectation-maximization
(EM) based mining of
player data
-user interface design
- novel scientific insights
Players can do real
science!

Time (Mins)

HIV-1 Protease
Drug
discovery
algorithms

I.P. of
integrating
human
cognition

Drug
Binding
simulation
models

Web-based
gaming
sessions

Analytics

New Insights
New Drugs
Design your medicine
in future
Connecting Fit2Cure to Your
Genetics: Fit2CureMyDisease
• Fit2Cure links personal genome data from the company
23andMe

• Fit2Cure can alert you when you are playing with a protein in
which you have mutations or allergic drug reactions
Print your own medicine
Faster Cures For All
Or send to robot scientists
online to make it and mail it to
you
Remote controlled chemistry lab
Hypothesis generating and
testing robot scientists
Adam- The Robot Scientist

• Adam designed hypotheses, experiments and tested them to
discover function of novel yeast genes
Who owns the discoveries?
Who decides which disease
should be studied first?
Should players be compensated?
What if players design dangerous
chemical from game?
Discoveries are going to
happen faster than policy
What are the challenges?
• Fast discovery will outpace our ability to
build policy
• Policy must anticipate, there will be no
time
• Central regulation will be extremely
difficult since tools will be available to
many
What are the opportunities?
• Allow millions to engage in
experimentation in what affects them
• Democratized and rapid discovery
• Realistic simulations of your own health
(Personalized medicine)
• Preparing the world for an unknown
pandemic
Acknowledgements
Charles Edison Fund
DynamoidApps

Fit2Cure Players

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Faster Cures For All

Editor's Notes

  • #46: KEY CORPORATE AND INSITTUTIONAL PARTICIPANTS IN CITIZEN SCIENCE
  • #58: -cutsdowb