Keynote apresentado no minicurso realizado durante o primeiro simpósio mineiro de engenharia biomédica no INATEL no dia 14/08/15 Sobre a ordem das coisas, tentei comprimir a estrutura mais ou menos assim: 1-Um pouco sobre a FLAGCX e como vemos a ciência como propulsora que estica os limites da tecnologia. 2- Alguns cases legais, pra não ficar só na arena teórica (Get shit done!) 3- Um pouco sobre meu trabalho (e sobre como só consigo fazer o que faço graças ao crescimento exponencial, super ferramentas e outros fatores chave). Falamos de VR, AR, tecnologias que uso, demos técnicos e visão pessoal de futuro a curto/médio prazo desse mercado e do mercado de tecnologia pra healthcare 4- Finalmente a parte que mais queria dividir com vocês: Referências de super tools pra health care, softwares, serviços e cases de empresas disruptivas, desde realidade virtual/aumentada até databases conectadas, inteligencia artificial, Uberização de serviços de saúde, bioengenharia, plataformas de educação, treinamento e colaboração descentralizadas etc etc 5- Finalizamos com uma chamada pra vocês se inspirarem sempre, agirem, e ajudarem a espécie humana a transcender nossas limitações através das nossas ferramentas e do nosso intelecto. Como prometido, aí estão todas as referências pra serem revistadas com calma. Espero que tenham gostado da experiência tanto quanto eu, e saibam que vocês foram a primeira turma pra quem eu apresentei 170 slides em mais de 3 horas de talk sem perder um único interessado. You rock! We're together in this ocean, let's do it! #RadicalOpenness #Transcend ; )

1. {

5. “Alphabet is mostly a collection of companies. The largest of which, of course, is
Google. This newer Google is a bit slimmed down, with the companies that are
pretty far afield of our main internet products contained in Alphabet instead.
What do we mean by far afield? Good examples are our health efforts: Life
Sciences (that works on the glucose-sensing contact lens), and Calico (focused
on longevity). Fundamentally, we believe this allows us more management scale,
as we can run things independently that aren’t very related."

6. "By breaking the company into separate divisions that can independently focus
on existing as well as new markets, Google is also enabling its founders to get
back to doing what they do best: innovate."

16. As a society, we haven’t noticed any of those revolutions:
!Wifi, gps, mobile hd cameras, cloud computing, google, video conferences,
super cheap gigabytes, super cheap terabytes, internet, mobile computing (…)

17. We have no idea of the true potential of technologies when they’re beginning.

18. For example: Lens were created to start fires 2700 years ago, but ended
up revolutionising biology (Robert Hook’s cell theory), arts, medicine,
creating photography, cinema, lasers, astronomy, glasses, VR headsets
(…)

19. “Science is interesting, if you don’t agree you can f@$% off.”!
Richard Dawkins

20. LHC produces more data in a second than all of the worlds physicists wrote about/theorised in the
entire human history. Physicists are always pioneering information overflow management.

21. “Approximately 600 million times per second, particles collide within the Large Hadron Collider (LHC).
Each collision generates particles that often decay in complex ways into even more particles.
Electronic circuits record the passage of each particle through a detector as a series of electronic
signals, and send the data to the CERN Data Centre (DC) for digital reconstruction. The digitised
summary is recorded as a "collision event". Physicists must sift through the 30 petabytes or so of
data produced annually to determine if the collisions have thrown up any interesting physics.”
That’s a sh!% load of data to manage.

22. In fact, Tim Berners-Lee created the WWW protocol in 1980 while working @ CERN, trying to solve data
problems. That’s why we have the web today -and it’s just beginning. What will come from the lhc?

23. 2d screen is not enough to keep up with all of this. Immersive tech is not a ‘cool
niche’, it’s the only way forward. It’s an infinite open canvas for our minds.

24. Too sci-fi?

25. What about Ellon Musk showing their Oculus + Leap Motion + Siemens NX
immersive rig used for production at Space X? Still sci-fi?

28. Mark Zuckerberg’s prediction for the future of content (in 1 quote):
“Forget pictures: We’re going to create our own worlds.”

31. Bad VR Good AR

32. Epson Moverio bt-200

33. So visualisation is almost figured: We have eyes inside virtual/augmented worlds.
Now we’re figuring out the best inputs to interact with what we’re seeing

40. VR and AR are pretty much obviously going to be huge, and almost anyone
nowadays will agree with me. It wasn't the case 5 years ago when I started
developing and even some of my college teachers told me it was simply not
going to happen - and I was a delusional kid.

41. Anyway, I think our present context speaks for me, so I don't have to say 'ha
ha, told you'. Instead, I'd like to focus today on what has been one of my
main focus of research since my thesis: Tech disrupting healthcare (not only
VR and AR, but AI, connected sensors, ubiquitous connectivity, Uberization
of health related services and the patient empowerment trend).

42. “The World in 2025: 8 Predictions for the Next 10 Years”
(Singularity Hub)

43. 5- Disruption of Healthcare
!
“Existing healthcare institutions will be crushed as new business
models with better and more efficient care emerge. Thousands of
startups, as well as today's data giants (Google, Apple, Microsoft,
SAP, IBM, etc.) will all enter this lucrative $3.8 trillion healthcare
industry with new business models that dematerialize, demonetize
and democratize today's bureaucratic and inefficient system.
!
Existing healthcare institutions will be crushed as new business
models with better and more efficient care emerge. Thousands of
startups, as well as today's data giants (Google, Apple, Microsoft,
SAP, IBM, etc.) will all enter this lucrative $3.8 trillion healthcare
industry with new business models that dematerialize, demonetize
and democratize today's bureaucratic and inefficient system.”
ç

44. So follow your path, it will be unique. We’re in this ocean together.

45. We wanna take this challenge and build a new order for the way we do stuff

49. Innovation comes from proactive behaviour instead of the old boring reactive paradigm.

59. Game development is the perfect integration between arts, science and engineering
!
From 3d engines to AI, to VR, most major breakthroughs in HCI today come from the gaming industry

60. VR/AR hmd /Visualization
Oculus Rift I
Oculus Rift II
Gear Vr
Mobile Screens
Giant Screens
Projectors
Sources
Google
Wolfram
GitHub
MTBS/ODF/UF
Image Holograms PH
Video/Youtube/Vimeo
Maya/C4D models
Unity 3d models
Asset Store
Sketchfab
3dscanners
360 cam rigs
Building
Unity
Oculus prefabs
Playmaker
C# / Javascript
WebSockets
Emotiv epoc Wrapper
GPS
Photoshop
C4D/Blender
OVR/Dive/Vuf/LeapMWrap
Interaction (Input)
Leap Motion
Holo-Buttons
Text Scroll
Human body interactions
Stereoscopic AR Camera
Razer Hydra (6dof controller)
PS4 controller
Eyeswipe Nano (Iris scanner)
Stereoscopic CV
EEG/Brainwaves
Heart-Rate
Connected Sensors

73. “WHY ARE YOU SHOWING THIS THINGS? WHERE’S THE BIOMEDICAL RELATED STUFF?”

74. Doing my average job without super tools, super computation, community
sourcing, artificial intelligence and huge databases is simply NOT AN OPTION.
Life sciences and health care are perfect examples of things that are simply
unmanageable for a single person without using at least the same level of
technology that I do. You can’t trust a single human brain processing power to
figure out health related stuff with unimaginable complexity.

75. Nevertheless, that’s exactly what most doctors, legislators, politicians and health
professionals still do… Despite having access to science fiction technology in their
pockets (at least smartphones)

76. Radical Openness

77. Github, Genome, BioPython, Crowd funded research, Miroculus, 23andMe, Oculus Forums, Asset
store, MTBS, Virttu Replicate, Reddit, Wolfram alpha/cloud, Watson, Google/Calico, biobricks (…)

78. There’s no shortage of data, tools, info, problems to solve and jobs - quite the opposite.

79. Medicine is next

80. Today’s kids will make clinical trials and traditional
medical research as obsolete to their generation as
middle age practitioners are to us. They’ll also be
super empowered patients, proactive prosumers
instead of reactive consumers and each one will be a
“CEO of their own health.”

81. Ten years from now the idea of a doctor or a health professional not using
connected databases, AI and super computation will be considered
absurd, just like we consider an absurd nowadays if a pilot tries to land an
airbus with hundreds of passengers using only his brain and his reflexes.
In my personal view, a bioengineer will most likely use tools like genome
compiler or bioPython, Wolfram -also with connected databases and super
computation- and some sort of GitHub/Asset Store like model.

82. The future is already here:
Science fiction realities are just a few searches away - just try to Google
anything and you’ll be surprised. Someone probably already did what you’re
looking for in 2006, and you’re still waiting for the day that you’ll find it all over
mainstream news and in a traditional shopping mall near you- but information
society doesn’t work that way, and we need to get used to it.
!
The long tail paradigm took us by storm.

83. We live in the age of open source - interdisciplinary - multi centric - crowd funded and
crowd sourced research / production - and we should embrace it. Collaboration beats
competition, and that’s something the I.T. industry showed us very well.

84. The most efficient ways of production and distribution of science, information and
products are somewhat chaotic, evolving in an organic / exponential way.

85. “To understand is to perceive patterns”
Exponentialgrowth
1980 1990 2000 2010 2020
1,000,000,000
100,000,000
10,000,0001,000,000100,000

86. The first 3 collums appear to be almost the same, static - contrasting with 2020
Exponentialgrowth
1980 1990 2000 2010 2020
1,000,000,000
100,000,000
10,000,0001,000,000100,000

87. A closer look reveals a hidden pattern:
PCMicroprocessortransistorcount
1980 1990 2000
10,000,000
1,000,000
100,000
(Source)

88. Exponential growth brings a constant rate of change at any given epoch
2000 2010 2020
1,000,000,000
100,000,000
10,000,000

89. To make it clear: Here’s a Logaritmic Representation of Exponential Growth
y = 10000e2.3026x
R² = 1
1,000,000,000
100,000,000
10,000,000
1,000,000
100,000

90. What does it mean?
!
-From the formation of matter to the origins of life, to the cambrian
explosion, to human technology: the universe created more complexity
and diversity - at a constant rate - since the beginning of time, despite all
the entropy and destructive chaos out there. That’s a true ‘meaning’ for
life: To thrive, to transcend, to outpace entropy.
!
-Life is anti entropic.
!
-We (and our tools) are a way for the universe to spread antientropism.

91. 2006: wii
2010: psmove / kinect / Razer hydra
2012: Oculus rift / Wii U
2014: Oculus 2 / Samsung Gear Vr / Leap motion VR / OmniTrack
2015: Oculus consumer, Stem (desk+mobile), Make VR, Magic leap, Project
Tango (mobile), HTC Vive, Intel Real Sense on mobiles, Microsoft Hololens (…)
Consumer immersive tech timeline:

92. Forbes on “How Virtual Reality May Change Medical Education And Save Lives”

93. I wanna emphasise in the health care/medicine field:
!
The vicious and inefficient health care paradigm of the XX century will most certainly
lead our ageing society to bankruptcy in a few decades. Medicine is still in the Fordist
era and it's inefficient, closed minded and not very innovative, from research all the
way up to consumer access, despite the amazing advances in human biology and
health sciences in the last 30 years.

96. There’s a company that is responsible for 95% of all VR and AR, and it’s not Oculus VR

97. Mobile systems
Glues different tech together
Community rocks
6dof Magnetic data input
Multiplatform FOR REAL
Emotiv Epoc / EEG
Heart Rate monitors
Head Mounted displays
Computer vision
Mobile sensors
Unity3D
Webgl (colaboration with Mozilla)
Asset Store
Rapid prototyping tools
C#/Javascript/Boo
Wolfram databases
Wanna prototype something? There’s a wrap for that.
Good ol’ socketsHigh end graphics
Mecanim
Global illumination
And so on and so on
Apple Metal with one checkboxVR/AR matrix
Oculus/Valve/Sony/Microsoft partner
(AND IT’S NOW FREAKING FREE)
plug n play GUI (2d and 3d)AI LogaritmsOculus/Valve/Sony partner

103. $75,000 for the basic software. HUGE business opportunity for devs here
http://www.echopixeltech.com/clinical-product/

106. Apply for an Hololens:
http://research.microsoft.com/en-us/projects/hololens/default.aspx

107. Download VRUI and KeckCaves Here
Open Source option: 3d Data Exploration

108. “the future is already here. It's just not very evenly distributed.”
-William Gibson

109. I have to agree, but it’s a matter of organisation and communication,
not money or lack of knowledge, data, tools and resources.

110. Today’s healthcare costs are mainly focused where the investment
isn’t worth it: Reacting to chronic diseases’ final manifestations.

114. Why re-solve problems that are already solved when you can
work upon them and make better products?

115. Acquired complexity isn’t cheating, it’s how evolution works. Embrace it and you’ll achieve things you
thought would never be possible (or feel free to keep reinventing the wheel as future passes you by).

116. CC/community sharing/open source/
open knowledge
!
!
Stand in giant’s shoulders - Isaac Newton

126. “AI Tool Aims to Transform Radiology”
With an annual caseload of nearly 6 million patient studies, a
company like Virtual Radiologic (vRad) is hugely appealing to
information technology firms looking to apply their algorithms
in the healthcare space. The substantial amount of data
generated from vRad’s vast teleradiology network of 2,100-plus
client facilities is a goldmine for enterprising companies hoping
to ensure appropriate learning and to build proper models.
!
That’s what MetaMind founder and chief executive Richard
Socher had in mind when he approached vRad with an idea to
collaborate on radiology diagnostics. Specifically, the Stanford
graduate and founder of the Palo Alto, Calif. based company
was hoping to leverage his “deep learning” artificial intelligence
(AI) solution to improve the speed, accuracy, and quality of how
radiology is performed.
!
vRad was intrigued, and a partnership was born.
!
“We think that, moving forward, the way radiology is practiced
is going to change significantly over the next decade—for the
benefit of both patients and physicians,” said Shannon Werb,
chief information officer at vRad and author of the AXIS column
“Critical Findings.” The innovation and technology that
MetaMind offers is going to be a big part of how it changes.”

130. So cambrian is about having the means to edit/enhance any and every living thing
on earth, and that's super broad. "The food that you eat, the things you taste, the
pets that you have, the insects that you see, even the air you breathe is made by the
micro organisms and the plants on the surface of the earth - We’re talking about the
demonetisation of things that are expensive, that are made through sturdy, costly,
synthetic chemical processes, now being made biologically."

131. a DNA printer is more powerful than an atomic bomb, and more dangerous too. It
can cause a lot of trouble, and that's super exciting.

132. Austen Heinz on optogenetics as a way to connect human beings, and a
way to read and write in the brain.

133. Austen was asked about Cambrian’s business model: "So you
sell to the big companies and use the money to fund the little
companies? -Yeah, like Robin Hood haha”
!
With the money that comes from Roche and other giants,
Cambrian funds small companies, offers lab space, media and
equipment, and since they become partners they have
participation and then grow together with those companies.
That’s a real nice business model, ahead of its time in the
biotech field.
!
FLAGCX does this too. We ship projects for clients like
Samsung, Unilever, Google, Coca-Cola, Nike, and we invest it in
disruptive business to grow the ecosystem horizontally.

134. It’s not a coincidence. Austen was a Singularity University folk, just like
Jorge Soto (founder of Miroculus) and Martini (FLAGCX founder and
CEO). That’s the future and there’s no going back. Of course working in
the future while the old dinosaurs are present in so many ways is hard,
but it’s worth it.

135. Worth noting that just like Uber and most disruptive companies, Cambrian
business is so new it's still unregulated. That means they get to do stuff
traditional companies can only do after a lot of bureaucracy. Being on the
bleeding edge has advantages. That’s my advice for you: Aim high. Aim
where bureaucrats won’t even understand what you’re doing.

138. After printing, most researchers nowadays use ballistics to basically shoot the
DNA inside living cells, but there are many ways of putting DNA inside cells,
including viral vectors.

140. Drag and drop!
consumer based genetic editing, VR, AR, AI and other ‘future sci-fi’ stuff
are already big things, they’ll be huge in the next 5 year

143. The reason we’re here is because we love technology.

144. We’re decades ahead of ‘The Jetsons’, ’Lawnmower man’, ‘2001’ and etc. We haven’t noticed.

145. ‘Transcendence’, ’Lucy’ and ‘Her’ are next, and we won’t notice it too.

146. Yet, we’re always complaining

147. Innovation will most likely pass you by, unnoticed [In a year you will be complaining
about the performance of what you now think is 20 years away science fiction].

148. We’re spoiled. We shouldn’t get used to this inertial zone.

149. We have a responsibility to awe

152. Immersive technologies are
Rocket ships for the mind

153. Children exercise awe all the time using immersive technologies.
There’s a strong correlation between awe and neuroplasticity.
http://singularityhub.com/2014/11/13/exponential-medicine-this-is-your-brain-on-prescription-strength-video-games/

154. Five year old kids are rocket scientists. Fifteen year old kids create
cancer detection tools with nano tech etc etc.
!
PS: For fun.

155. Our tools and intellect will bring us the power to take over our own
evolution and transcend our biological limitations - ultimately
creating a new human species: Homo evolutis

156. Homo evolutis is related to Homo sapiens in the same degree that
Homo sapiens is related to Homo Erectus.
Now, try to explain general relativity or Shakespeare to a Homo
erectus.

157. Happy Transcendence = )

159. Drag and drop consumer based genetic editing, VR, AR, AI and other ‘future sci-fi’ stuff are already big things, they’ll be as `huge as
boo@flag.cx
!