Hi, I’m Alan Chiu, co-founder and CEO of
Enya.ai, the team that built FeverIQ.
It’s great to see all of you here
at the very first Pi convention.
FeverIQ is the first app to deploy on the
Pi platform. When we first launched FeverIQ
on Pi, we hoped to collaborate with you
the Pi community to fight Covid together.
You will share with us your Covid symptoms, and
we would use our secure computation technology
to protect your privacy while generating insights
to help scientists better understand the pandemic.
Since then, we’ve been truly
humbled by your enthusiasm
and generosity more than four and a half million
of you have participated in FeverIQ, making it
the largest secure computation
network for healthcare in the world.
Many of you went beyond reporting symptoms
and donated to the reward pool as well.
Thanks to you, anyone in the world can now screen
for Covid more accurately than just taking the
temperature or using a static checklist. The
FeverIQ Covid risk calculator performs as
much as 2.7 times better than the alternatives,
and it is freely available to everyone. Businesses
and schools can now use this calculator for
free to help keep the staff and students safe,
Now, let’s hear from our co-founder and Stanford
bioengineering professor Jan Liphardt as well.
Hi, my name is Jan Liphardt. I’m a professor at
Stanford. I’ve taught classes with Nicolas,
and I’ve been working with Alan and everyone
else at Enya to build technologies for securely
computing on sensitive data. If you’ve used the
FeverIQ app on Pi, you’ve been one of several
million people who have contributed data and test
results to this global scientific effort. What
all of us have been able to demonstrate working
together is that it’s possible to securely compute
on sensitive data and use this information
for science without jeopardizing your privacy.
The next steps for us are to test the
technology in a hospital, and just last week,
Stanford hospital has started to test a risk
calculator based on your data for use in the ER. So
when you visit Stanford Hospital, when you visit
the ER, then you can fill out a risk estimator,
and then we can use this to evaluate how good the
predictive power is of classifiers we’ve built
on the FeverIQ data. Another thing we did last week
is to release a paper to the med archive preprint
server describing some of the things we’ve
learned and also acknowledging you the pioneers
for their intrepid and generous contributions on
to this effort. So thank you to everyone here to
the millions of people here from 91 different
countries who have contributed to this effort
which is the world’s first and largest deployment
of secure multi-party computation. Thank you.
Finally, we would like to thank the Pi team for
jumping into the deep end with us to make this
possible. They pulled out all the stops through
many sleepless nights to scale the platform as
usage ramped up and have proven themselves
to be the most trusted development partner
anyone could wish for. We look forward to many
more collaborations together. Thank you once again,
and please drop us a note
to say hi, and share with us
what would you like us to build next.
Our email is hello@enya.ai . Thank you!
