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Thank you for giving me the opportunity to
present
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DiamPark. Our job is to measure the symptoms
of Parkinson's disease in order to better
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treat it. I am Djamchid Dalili, the founder
of DiamPark.
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And in the next 15 minutes, which is about
the length of this presentation, one of the
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neurons in my brain will shut down. This
neuron will die because I myself have
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Parkinson's disease. And besides, I'm not the
only one.
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As you have heard, there are 160,000 of us in
France and 6 million in the world. With the
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aging of the world population, in 2030, we
will be 10 million. It was this realization
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that triggered my tenth life.
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I'm talking about my tenth life because I've
lived nine lives before.
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In my ninth life I trained 6,000 web
developers who didn't know how to program and
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led them to a job as a computer technician.
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And it was this experience as an IT
entrepreneur that I used to create DiamPark,
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which I want to tell you about.
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I'm not going to tell you my ten lives in
full, but in my lives number 4, 5 and 6.
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I had accumulated a rather interesting
scientific base through my studies at the
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Ecole Polytechnique, my doctorate in nuclear
physics and my years of research and
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development at Pechiney. This, too, would
help in the development of DiamPark to help
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fight Parkinson's disease.
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So it's been almost five years since I was
diagnosed and each year has been marked by a
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major milestone often the development of a
new neuro marker for Parkinson's disease.
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As I said, our job is to measure Parkinson's
disease in order to treat it better. And so,
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it goes through the intermediary of neuromarkers
that I want to detail in a moment. It
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starts with my personal story, but in fact,
the story of DiamPark is the commitment and
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the meeting of many caring people, including
Nathalie George, who spoke just now.
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But I started with Didier Tranchier, who was
my partner in my previous venture, who was
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also my mentor-investor in this company and
who is a polytechnician like me and who, in
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the meantime, had created Digital Pharma Lab,
which is a pharma tech accelerator.
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So, Didier introduced me to Pascal Bécache,
who was his co-founder at Digital Pharma
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Lab, who knows a lot about the
pharmaceutical industry and has mastered data
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in the pharmaceutical industry. Data is the
essential basis of the raw material, of what
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we process. And Pascal Bécache introduced me
to Yohan Attal, who is in the room and who is
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an alumnus of the Brain Institute.
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And Yohan Attal introduced me to the Brain
Institute, for example, Alexis Genin, who is
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the Director of Innovation and Research
Development.
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And Alexis introduced me to all the rest of
the Brain Institute with whom I have the
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pleasure and honor of working and for example
with Arlette, who is in the front row here.
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I'll come back a little bit to the
collaboration we have together on this. Julie
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Sauzin, who has been hired full time at the
Brain Institute's Living Lab to serve as an
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interface with patients, between Parkinson's
patients and DiamPark's research and
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development, etc.
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Etc. And a lot of good people have looked
into the cradle of the DiamPark Cie to
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talk specifically about the Brain Institute.
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With everything, with the firepower here, we
have access to a network of scientists such
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as Professor Corvol, whom you heard a moment
ago.
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Of both scientific and medical expertise and
access to patients.
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I told you about Yohan earlier.
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He created a company called My Brain
Technology, which specializes in
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electroencephalogram measurements, which we
talked about a moment ago with Nathalie
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George. And thanks to the partnership with My
Brain Technology, we benefit
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from several years of experience in
artificial intelligence processing of brain
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data and at the same time, we have access to
an IT platform that is already certified. It
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saves us years in the R&D I was telling you
about.
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My obsession is to go fast because my
condition is going to deteriorate and what I
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hope is that we can accelerate the release of
medication enough so that myself and the 10
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million people behind me can benefit.
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So anything that speeds up is good. At the
same time, in France, we benefit from a
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regulatory and financial environment that is
extremely favorable to start-ups and
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everything related to digital health.
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And so, that's how we got seed funding for
DeepTech from the BPI, for example, to start.
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What I'm trying to tell you is that we've
started a virtuous circle of getting a lot of
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people working together at the Brain
Institute, but also the whole environment around
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it so that we can get quick results. I'll
come back to this diagram in a moment. I'm
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going to explain just a little bit of this
diagram. One of DiamPark's goals is to provide
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free and useful services to patients.
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In this context, for example, we are
participating in the creation of a
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pedagogical tool for therapeutic education in
Parkinson's disease.
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This tool was designed by Professor Grabli
and Arlette Welaratne, who is
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here in the room.
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And so, we're helping to create this tool
because I told you in my previous life, I
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trained a few thousand web application
developers and so I have the ability to tap
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into that network and go relatively fast in
anything that's application development.
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Well, the team is ready.
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Now we're going to get into the subject
because once the team is in place and the
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tools are there, we have to act. From the
beginning, I realized that there were not
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many therapies for Parkinson's disease on the
market and that research and development was
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not going fast enough in this field. However,
all the pharmaceutical companies you see on
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this slide are working on clinical trials.
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You saw in Professor Corvol's slides earlier,
all the molecules that are examined. There
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are over 200 interventional clinical trials
each year.
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There is $8 billion in drug sales per year in
Parkinson's disease.
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There is 1 billion dollars of R&D and the
results are slow in coming. If the results
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are slow in coming, there must still be a
problem. And Professor Corvol, rightly
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mentioned that the cycle was very, very long
in the development of drugs. And that's where
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I focused my attention, saying we could make
a significant contribution by enabling a very
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accurate measurement of Parkinson's symptoms.
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You saw earlier, it was mentioned that in the
creation of very fast, in a few weeks, in a
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few months, of the vaccine against Covid,
there was the fact that we could measure very
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quickly the results of a vaccine. A blood
test is done and we know if the antibodies
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have developed or not. There is no such thing
in Parkinson's disease and we can't just do a
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blood test and say you are sicker or less
sick than before. And this is where my
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experience, both digital and scientific as a
physicist, could help.
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And that's the challenge we tried to meet. In
what way? In recent years, we have developed
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digital markers for Parkinson's disease.
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So, it has become our job.
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These digital markers, I started with the
Typing pattern which is known in the
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cryptographic industry as being very
characteristic of each person.
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And the studies, then, showed that the way of
typing, the milliseconds of hesitation
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between two keys are characteristic of
Parkinson's disease and its progress. So,
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here's a marker. Then, the analysis of the
voice that we talked about earlier within the
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framework of the Iceberg protocol makes it
possible to determine if a person has
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Parkinson's disease or not by measuring the
stability in frequency and amplitude.
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And we want to go further, to measure the
progress of Parkinson's disease in a given
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person through the analysis of phonation, but
also through the analysis of speech
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recognition. So, it's coming together.
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The analysis of the tremor is very simple.
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Cell phones have an accelerometer and we rely
on that to analyze tremor in patients who
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have tremor.
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And that is an objective measure, very easy
to achieve. And finally, there is the
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measurement of the pathological component of
beta waves that Nathalie George mentioned
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earlier in the context of neurofeedback. But
it's also a marker for Parkinson's disease
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and the on-off state, etc. So the core of our
activity is to gather all these
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neuro marker data and to process the
collected data.
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How does it work?
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We have an app called DigiPark, which is
available today on Google Play and in January
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it will be available on the Apple Store as
well, which allows you to do several things
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for the science part. It allows to measure,
to record a phonation we make "AAAAH" and
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that allows to analyze the amplitude and the
intensity. We have a speech recognition part.
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We have a part for the tremor measurement.
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We are in the process of integrating a
calligraphy part in order to measure the
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precise gestures of the patient and the
application of My Brain Technology makes it
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possible to record the electroencephalogram
and to make all the analysis which goes
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behind. The Typing Patern part, the way of
typing, requires of course a computer
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keyboard. So, this application has several
purposes, there is the scientific purpose
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that I just told you about, it's to retrieve
data, but my first purpose was to help
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patients. And for that, we give this tool so
that the patient can monitor his own
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symptoms. Patients must take the power, take
back the power.
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It is a tool that goes in that direction.
There is a simple pillbox tool. It's still
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nice to be able to track compliance and
improve medication adherence.
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There is another phenomenon. Personally, I
have among my symptoms of Parkinson's, there
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are diction problems.
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I go to see a very specialized, extremely
competent speech therapist once a week.
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But between two sessions at the speech
therapist, I have developed tools that allow
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me to follow and train on my own, but
advised, of course, by the speech therapist.
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These tools are integrated in the DigiPark
application. So, at the end of the day, it's
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an application that is provided free to all
patients.
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Some of the patients agree to share their
data with us and this data is kept completely
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anonymous, in compliance with the rules of
the European Union.
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And these data allow us to develop tools,
models that are then used in research and
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development to develop new therapies and,
above all, to accelerate the release of new
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therapies. This is what the Typing Pattern
looks like.
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It is a browser game where there are a series
of words that are displayed on the screen.
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The person types the word and the computer
records the milliseconds of hesitation
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between two keys or the pressing of a given
key. This is the phonation and
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medication part.
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The same thing is recorded in a totally
anonymous way, that is to say we don't know
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who is behind it, but we know that it is
patient number 87 who made this recording. To
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illustrate very precisely, earlier, you saw
the beta waves, these are not beta waves, they
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are simply the tremors of a patient's hand
and so the tremors are visible on the left
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side. It is the hand that shakes. The
analysis in terms of frequencies is on the
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right. And when you see a peak like that,
centered around 4 or 5 Hz, that means 4 or 5
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times per second. This is really typical of a
Parkinson's patient. These are the kinds of
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things we measure and record.
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In the same way earlier.
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You've heard about patient segmentation. The
patients, you saw it on the genetic marker
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curve, but in the same way, no two
Parkinson's patients are alike.
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Some people have trouble walking. Some people
find it hard to talk. Some people have a lot
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of tremors and other symptoms. And thanks to
our multimodal analysis, we are able to
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segment and approach personalized medicine.
In the context of Parkinson's disease, the
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electroencephalogram part is very technical.
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So just now, you saw, it's kind of the same
curves as Nathalie on the pathological Beta
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component. But there are also all the
dynamics that can be analyzed in a much
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deeper way mathematically, with topological
tools as on the right side. It is the
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platform that My Brain technology provides us
that allows us to avoid reinventing the
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wheel. You always have to rely on the world's
leading partner and I am pleased to have this
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tool there and to share it. So that's the
name of the platform. I'm going behind. So,
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what have we achieved so far? I told you
about the team, I told you about the
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approach. Now, what have we achieved in
concrete terms? We have collected several
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thousands of experimental points, so it is
very important because in biology, in
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medicine, when we have 10, 20, 50 patients
and for each patient, we have a measurement
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point every month.
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We are very happy. Thanks to the
digitalization of the tool, we have the
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possibility to have thousands of experimental
points quickly. Here is the analysis of 1000
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experimental points. I will not go into
detail because it is a publication that is in
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preparation, but we are already extremely
enthusiastic with the preliminary results
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obtained. What are our strengths?
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Our strength is that we rely on artificial
intelligence, of course, but also on ab
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initio modeling. We start from scratch
without making any assumptions. It has been
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my specialty, while I was a physics
researcher, to always start from a starting
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point with mathematical models that are
confronted with the experiment in a complete
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way. This is called an ab initio model. We
combine this with artificial intelligence. It
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allows us to go very fast. We are totally
focused on patients. We are at the service of
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the patient and we seek to make personalized
medicine. We have a complete set of neuro
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markers and all of this is stored in a
database.
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We have outstanding partnerships and are
supported by leading neurologists and
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researchers. And all this to improve patient
management of the disease and to
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accelerate R&D.
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We benefit from an extremely favorable
environment in France. Plus support from the
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Brain Institute.
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And we have a team with over 15 years of
experience in digital health. We have here in
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the front row, for example, Dr Caroline Atlani,
who has just joined us as chief medical
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officer. We have, I think, in visio Alfredo.
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Alfredo Alarcon who is a
polytechnician with a decade of experience in
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data science in the biomedical field.
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So, we have an extraordinary team and we are
totally oriented towards quick results. So,
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the years to come look quite good and I am
very enthusiastic about the fact that we will
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be working with the pharmaceutical industry
in the years to come to reduce the time
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needed to bring new therapies to market and
to have our own medical devices to serve
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patients. It will serve the industry.
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It will serve neurologists in their
relationships with their patients and it will
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serve the patients well, of course. And so,
as a result, my initial objective, which was
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to achieve a virtuous circle on this will be
achieved and I will be able to explain it to
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you a little more.
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So you see, at the bottom, this is the
DiamPark Cie with the founders I told you
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about. We started by providing free services
to patients and patients using our free
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services. Some of the patients provide their
data and this data allows us to make models
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01:20:49,039 --> 01:20:54,880
like the graph I showed you earlier. And
these models make it possible to make
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breakthroughs and to provide hypotheses that
are then validated by neurologists and
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researchers and that make it possible to
produce tools that are used by the
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pharmaceutical industry during clinical
trials to produce new therapies. Once we have
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that, patients are satisfied. That's the
point. That was the goal, but also the
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investors are satisfied and it puts money
back into the circuit and it allows to
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accelerate. And I hope it won't take 50 years
to get the next therapies out. Thank you and
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if you have any questions I am at your
disposal, thank you,
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We can take some questions. I don't know if
there are any in the room. In any case, we
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have some on the chat channel. A first person
who encourages you to create your educational
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tool. And one and one question do you share
the work in artificial intelligence conducted
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by Google Mayo Clinic?
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So, Google Mayo Clinic?
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I unfortunately don't know. But if people
could send me the link, I will look with
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great interest. Of course, we do an
exhaustive bibliography and I had a graduate
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01:22:15,720 --> 01:22:23,800
student on my team for several months who did
an exhaustive bibliographic search.
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In addition to the work that all the rest of
the team has done. But this particular group,
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I don't know.
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And it seems to me that it was Yohan who
put us in touch.
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I've been particularly involved with
researchers at Facebook because Facebook
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bought a company in the haptics field. And so
unfortunately they totally stopped the
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medical research and they are now completely
oriented to what makes the most money.
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But I tried to get what we could from the
medical research of that team, for example.
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Very well, thank you very much. And one last
question, but it seems to me that you, you
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have specified when will the application be
available on Apple Store in January? January,
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in January? Perfect.
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Thank you very much. We have another
question, is the application paid and are
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there specific criteria to use it?
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The application is totally free and that's
something I'm very keen on and it can be used
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by everyone, without any conditions. When you
use the application, you are asked to
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register because, on the one hand, it is the
regulation and on the other hand, this
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registration, when you return to the
application, allows you to find your data.
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But on the other hand, we don't ask you for
your name, we don't ask you for your personal
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data, etc. And if you ever lose your password
or your User, I can't find them for you
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because everything is totally anonymized so
that no one can ever make the link between
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you, between the user and the databases. Our
only goal is to get data that is then used to
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develop models.
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The data is never passed on to the
pharmaceutical industry. I would also like to
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point out that during clinical trials,
manufacturers come with their patients.
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01:24:25,159 --> 01:24:30,760
They have access to their patients' data, but
they do not have access to your data, even
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anonymously.
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Very well, thank you very much. there is one
last question. Is this application is
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available on phones as well as on a web
browser.
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01:24:41,640 --> 01:24:47,079
So, you've figured out that there is one
activity that requires an accelerometer. And
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on the browser, there are no accelerometers.
Otherwise, the application is currently
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accessible on the cell phone only the typing
pattern part is on browser.
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Plus computer keyboard. And we plan to have a
slightly degraded version without the
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accelerometer that will be usable on a
browser alone, on a desktop as well as on a
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computer with a keyboard.
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perfect thank you very much.
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Thank you.