Entangled Health

Welcome to the Entangled Health
Celebration series.

You've just heard 13 voices
talking at once.

It sounds like case, but it
isn't.

Its entanglement.
Different minds, different

generations, different fields,
and all crossing wires around

the future of health.
Today we're trying something

different, an experiment within
the experiment.

Instead of our usual format,
where you meet one guest and a

deep dive into their work, I've
woven together voices from the

earlier conversations around a
single thread, a story that

keeps emerging across different
experts, different disciplines,

and different perspectives.
And the idea is simple but

radical.
What if the best answers to the

biggest questions don't come
from one expert in one field,

but from the entanglement
itself, from the connections

between the fields, between
minds, between different ways of

seeing the same problem?
Before we start, the usual

disclaimer, this is not a
medical advice, and what you

hear are personal takes,
interpretations, working

hypothesis.
These are conversations between

friends, exploring frontier
where science is still being

written.
Nothing you hear here represents

any official position from any
company or organization, and we

are here in a personal capacity,
speaking our own truth.

Now here's something important.
The goal of this episode is not

to give you answers.
It's to show you how answers

emerge when we stop working
working in silos, when a quantum

physicist talks to a biologist,
when consciousness researcher

sits with someone measuring tiny
magnetic fields, and when people

from completely different worlds
realize they're actually

describing the same phenomenon
in different languages.

So let's go.
So this is the entire pharma

drug discovery value chain.
So you start with an idea,

you've got a disease that needs
some kind of therapy or treat.

So you try to understand the
molecular mechanisms of what is

causing that disease.
This is.

Ravi Kirun describing the
classical way we develop drugs.

And then you identify a chemical
moiety, whether it's a small

molecule or a peptide or a
protein that can change the

functionality of that disease
paradigm such that you get an

outcome.
And the outcome would be

reduction of disease or curing
of the disease so that the

quality of life for the patient
is improved.

Today's episode asked the
question that might sound crazy

to a doctor from 20 years ago.
Maybe the body is not just only

it's biochemistry.
Maybe the problems we are trying

to solve, complex disease, drug
discovery timelines, the mind,

body connections have become too
entangled for classical

approaches to handle.
But the question that we need to

ask now, do we really solve the
basic problem of healthcare and

life science?
Not really because we've just

scratched the surface, right?
Because we still need to

understand what is antimicrobial
resistance, right?

Or what is, what is a cancer,
what is gene therapy, you know,

stem cell research.
These are all unsolved questions

for us, right?
This was Gopal Karamwa from IBM.

Let's start with the wall.
Modern medicine is

sophisticated.
We have genomics, proteomics,

brain imaging, wearables, and
yet we are stuck.

Let's listen maybe to Gabriela
from Continuum.

What she thinks.
So as an individual, you want to

know what common causes make
disease develop?

What from our unique makeup
contributes?

What from our external
environment contributes?

What can help heal with or
without external helping agents?

Let's look again at the
classical development workflow.

It's not from that.
And then you develop a few

molecule leads, molecules that
you test in a hypothesis in a in

vitro setting.
And if the results there are

relevant, then you take it to an
in vivo setting with animals.

So with rats and mice and dogs
and non human primates as as

required.
But there's always the yin and

the Yang saying you can cure a
cancer in a mouse, but you

cannot cure cancer in a human
because human methodology and

and human disease is probably
much different than even

humanized mice which have that
cancer.

So we do not want to treat
animals, but we want to heal

humans, and those are really
super complex.

But being said that, at least
you can use that kind of

methodology to determine whether
this molecule you're trying to

develop is safe and effective.
It doesn't have any major bad

side effects and things like
that.

So we try to speed up things
with computation and artificial

intelligence.
And this is a hugely difficult

problem to solve.
Mathematically difficult.

There are so many parameters to
take into consideration.

It's a huge number which most of
the time we can quantify and

analyse individuals.
So we finally have our compound,

but it is still a very long way.
So then you take it to a

preclinical model and then to a
clinical model where you do a

phase one where you're testing
the hypothesis in normal healthy

volunteers who are where you're
just seeing whether this

molecule has an effect or not.
For that matter, every molecule

has has an effect good or bad.
In fact, to the extent that if

you drink gallons and gallons of
water, you could die.

So, but having said that, that
kind of testing is important.

And because it's a regulated
industry, then you go to a Phase

2 with patient population and
then to a large phase three.

So this whole process can take
anywhere between 8 to 12 years,

go from idea to the market.
There's numbers all over the

place, but let's say an average
of it takes $2 billion to take

an idea from the beginning to
the market, and this is taking

in all those molecules that have
died in the process.

But then, if you take into
consideration the

interdependency influenced by
different factors, genetics,

environment, the choices we
make, you might say that we are

entangled.
So that word untangled is not

poetry, it's mathematics.
And the single patient's health

depends, apparently, on
thousands of variables that all

influences each other.
Classical computers just can't

hold that in their head, and
neither can human doctors.

So what happens?
We simplify, we ignore

interactions, and we treat
diseases as isolated problems

instead of system problems.
And we fail.

So what about other technologies
I.

Landed up at Merck AG as Silicon
Valley Innovation Hub and this

was a real opportunity for me to
really identify novel paradigm

game changing technologies and
bring them into the company and

see how they could really modify
and speed up.

Because a mentor at Pfizer told
me once that innovation is

seeing patterns others miss.
And I think that was the key

that I had the unique
opportunity in Silicon Valley to

identify novel game changing
opportunities.

And my strong belief is that we
need a tool such as quantum

computing to really go deep into
the understanding of the

biologic chemistry and physics.
And when you think about the

convergence of what is going on
in the world today, quantum

obviously is is a big topic, AI
and agents and so on, it's

another one.
But the new materials and

robotics and nano robotics and
other things that are completely

outside of my area of expertise,
but potentially much more into

the health industry.
Oh wow, what a time to be alive.

This is Sergio Gargo, the CTO
from Cloudera, and he's just

fascinated by the way technology
is speeding up.

Yeah, put all that together, a a
lot of huge disrupting

technologies and and scientific
research at all, each of those

by themselves could create an
industrial revolution.

And now you put these 1012
technologies and things that are

happening exponentially faster
every every six months.

There's there's a woe factor
happening in the world.

It's difficult even to keep up
right?

It is indeed a fast evolving
field.

Yeah.
So fortunately I like reading

and I like talking to people, so
I read a lot every day.

I obviously read about advancing
quantum technologies and keep up

to date with the news, but I
also read as much as I can about

human biology and psychology,
with a focus on what shapes us

today.
What we have been seeing in the

last 10-15 years in all areas of
science and industry, working

together, it's both exciting and
mesmerizing.

And I like to think how how my
kids, how our kids are going to

live in the world in the future,
what type of jobs they will have

and effectively how will we live
our lives.

I cannot even start thinking
about that.

So maybe it is entangled health,
but also entangled.

Lifestyle.
But I also read as much as I can

about human biology and
psychology with a focus on what

shapes us today, which probably
suits the term entangled health,

how these changes impact our
bodies, what are the

consequences.
And I discovered maybe just me

who recently discovered, maybe
this has been happening for a

long time, but I'm part of a
growing group of people who want

to understand how we can stay
healthy over the years, age

healthily and happily, and build
a better society.

Or or at least try to do.
So Cabrilla just said something

crucial.
We are part of a growing group

trying to understand health
differently.

But here's the real question.
How can we build that better

society if we don't even
understand ourselves?

Let's hear what Eduardo May
underexplored.

Eduardo is a composer and
professor in Computer Music, and

he has not only composed the
opera that you hear in the

background, but also has
developed technology that lets

us see our own newer patterns,
our own brain staves.

And once you can see something,
you can change it.

And I'd begun to use machine
learning to be able to

distinguish between these
different kinds of electrical

brain waves that, you know, try
to classify them according to

specific cognitive tasks that
people were doing.

Then I realized that it is not
as easy as as one may think it

is.
You know, that we are very

different from each other,
Thomas.

Our, our brains is, is like our
fingerprint, right?

We are very different and trying
to find common ground between

people's brain is, is finished.
It is really difficult.

So then I, I kind of begun to
look into other, other

techniques.
For example, what if I could

stimulate, you know, give
stimulate to to people to, to

stimulate the brain somehow and
then use that for for making

people to train themselves to
produce a specific brain waves.

Eduardo enabled paralyzed
musicians to perform together.

You hear them in the background.
How?

How do you translate intention
into action when the body won't

respond?
That's the question at the heart

of what he discovered.
And if you want to understand

the actual mechanics, the
details that matter, listen to

our full conversation with
Eduardo.

But what we created here was a
way where for people were able

to communicate between
themselves and that is.

Yeah, that's the social
component exactly.

They, they were playing with
each other even though they were

not able to talk, they are not
able to, to make gestures and so

on.
But they were paralyzed from the

neck down.
They, they only had very little

eye movement or mouth movement,
right?

And but they were talking, they
were communicating emotions to

themselves.
When we ignore the mind, we miss

half the healing power.
So we have three walls,

complexity which we cannot
compute, timelines we cannot

meet, and the human dimension
which we cannot measure.

How do we breakthrough these
three walls?

Let's meet the quantum
sledgehammer.

Quantum computing can finally
hold complexity that classical

computers never could.
And there's one fundamental

problem, aging, that sits at the
root of nearly every major

disease.
It's systems entangled with each

other.
And that's where, as a Lucia, a

winning team of Saudi Arabia
women, started.

Let's see a reach from the team.
It's because we as people, as

humanity, have.
Came.

To realize that the root to
most.

Of our health problems.
Actually is ageing.

For example many diseases such
such as cancer are more

prominent or show huge
increasing as we age.

So for example they say do more
scanning.

After 40.
And that's because something

happens.
Something that we are.

Interested in discovering what
exactly this?

Something that's.
Actually our question what

exactly is happening?
To our bodies after we passed

for.
Example 70 years suddenly all of

these diseases start to.
Come to us.

Why is that so this question, we
as a team think that it can be

answered not only using
traditional ways.

Because they take forever.
But by using the great strong

power of machine learning and
quantum so.

Najood can talk more about how
Quantum can.

Be utilized for complex data and
how it can help speed up the

process of this analysis, but in
general it's.

Basically that we have.
So much data that might have

patterns that.
We.

As humans, it's very difficult
for us to.

Analyse this data and.
Come up with these patterns and

understand them and makes
something out of them.

So we start with quantum
computing.

The work from Azadosia is still
early research, so let's hear of

a published result from IBM and
listen again to Gopal.

And we have actually shown using
our recent paper that the

publication that we had with
Rican, it's a Japanese research

organization that the method
like sample based quantum

diagonalization, how these
methods in conjunction with

classical computer supercomputer
can help solve the problem in

two hours which you which would
otherwise take years to really

solve only on the quantum
computer, right?

So I think this is also very
fascinating from the drug

discovery side and the molecular
discovery.

Two hours instead of years.
That's not just faster, that's

another category of capability.
There seems to be evidence that

in some areas in healthcare and
life sciences, quantum computing

can help.
The point is, it's not replacing

classical computing, but it's
augmenting it.

Here's Gopal again.
And totally.

So for that reason, I mean, we
conducted A webinar which is

available and just for the
listeners who really want to

know deep dive into what is the
possibility of each and every

functional areas of drug
discovery and development.

Because I strongly believe when
you say healthcare and life

science, life science is related
to understanding disease

mechanism where the Healthcare
is related to the patient data.

So the the bridge between this
healthcare and life science is a

pharma company, right?
Because this is where exactly

the translational science
happened.

Translation medicine happens
right from that's what that's

what they call bench to bed
site, right?

You may be having a really nice
basic research and all, but

unless you put it into the
practice, like put it into the

FDA regulation, become that as a
drug available to the patient,

it's not helpful, right?
It's a second quantum

sledgehammer.
If you cannot measure it, you

cannot optimize it.
Quantum sensing lets us measure

things that classical sensors
have no way to detect.

Let's see a Clarista Yellow, a
pioneer in the field of quantum

biology.
In my PHDI worked with a

technological quantum sensors.
The idea is that you can

mathematically prove that if you
use quantum objects like an

electron as a sensor, your
measurement is improved.

In other words, the sensor
quantumness enhances the

measurement.
I work with a very famous

technological quantum sensor
which is a spin in diamond in

the material diamond and a.
Couple cool.

Things about the sensor is that
one, it's a very good sensor of

magnetic fields, two, it works
at room temperature, it's

quantumness survives for long
enough at room temperature to be

useful.
And three, the fundamental

quantum property that people
that that the sensor uses to

sense in a quantum enhanced way
magnetic fields is superposition

spin, electron spin
superpositions.

Healthcare as a total as a whole
is changing nowadays and we are

seeing a lot of new things
popping up as we can detect many

things that we were previously
not capable, calculate things

that we were not capable, do
cool stuff, yeah.

So quantum biology is real
shoulders.

Quantum effects are already
happening in living cells.

Magnetic sensing at room
temperature.

But knowing it exists and being
able to measure it are two

different things.
Let's see his ADEX journey.

His expertise in quantum sensing
is the bridge between theory and

detection, turning what Clarice
described into data we can

actually use.
And then I went to Helmholtz

Institute GSI in Darmstadt.
And then I did the ion traffic

experiment, basically localizing
highly charged ions and doing

fundamental experiments and
measuring with the with the

highest precision possible.
The number that you throw around

in this kind of experiments on
mind boggling.

So in this time, because you
know, GSI has it's famous and it

has a claim of fame in a
specific type of therapy, which

is proton therapy for cancer.
With accelerators and then you

just use the the the particles
itself to destroy the cancer.

Yes, basically where it was
invented.

Yeah.
And looking at them, that was

where it got me excited about
the applications of new deep

tech and high tech stuff for
healthcare.

But nowadays, as our
technologies advance, especially

in sensing, I have the idea that
sensing opens new doors for us.

As we advance in our technology,
as we advance in our

manufacturing, we have started
detecting signals that

previously was not possible.
So we have two sledgehammer

quantum computing that processes
the unprocessable and quantum

sensing that measures the
unmeasurable.

But there is still a gap if you
if you have perfect data and

perfect computation.
If different domains can't talk

to each other, nothing happens.
The silos are as much a problem

as the science.
I work in an interdisciplinary

field called quantum biology.
And one of the big problems that

we have is that we found out
that people from different

fields don't talk to each other,
right?

So I think that your, your
solution to this problem is

laudable and I think that we
should have more of, of this

type of dialogue where people
from bio talks to people from AI

talks to people from physics
talks to people from chemistry,

right.
And I think because, because I

think that the the nicest
problems, the ones which are not

incremental are probably
interdisciplinary and

interdisciplinarity is a
buzzword.

Everyone likes to say that they
do interdisciplinary science.

People like to say that they
fund interdisciplinary science.

We'll.
Talk about this.

Later I get from right and it's
it's like a big lie.

I mean is a big.
Lie.

While students are still
separated in departments, while

departments are still
departments, while in funding

bodies, there are still funding
bodies for chemistry, bio and

stuff.
It's not going to happen.

I mean it's, it's, it's
intrinsic to our system.

We need a a re hauling and
that's part of what of what

we're trying to do in my current
organization.

But breaking those silos isn't
just about technology.

It's about people.
It's about building ecosystems

where different kinds of
knowledge can actually connect.

John Barnes has been asking that
question since 2014.

Yes, I think first thing I
thought of was around.

The health of quantum and
ecosystem.

And.
I think.

It was.
It was.

More the almost like that the
mental health of.

Quantum so you.
Know where are we going, what we

wanted to achieve?
How do we?

Get there, who's this for and
those that kind of existential

aspects of it.
And that's where the third part

comes in.
Maybe AI and machine learning

are in translation layer.
Creativity is, I think a very

important human characteristic
and trying to get machines to,

to simulate creativity, I think
it's a bit of a waste of time.

But I think to get machines to
help us to be creative, that is

the key.
Because at the end of the day,

you know, we we need to to think
about humans, to think about

ourselves and not about
terminating ourselves, but

actually, you know, making
ourselves better, better people.

And I think that technology are
instruments for that.

Technology as an amplifier, not
a replacement.

That's the philosophy that
actually works.

So now we have the full stack
quantum computing for modeling,

quantum sensing for measurement,
AI for translation and

amplification, and community
builders asking who this is for.

That's the sledgehammer, and
it's starting to work.

Somat Sandeep is proof of that.
So that's when I decided later

that year that, oh, I'm going to
start my own company that's

going to be focused on
biological modeling.

I think the main thing that I
was interested in was I wanted

to see if there are improvements
that can be made in protein

docking to start with.
So I, I had heard about a

professor at UC Davis who was
looking at how yeast proteins or

proteins, specifically
extracellular proteins in yeast

could bind to nutraceuticals.
So things like curcumin or

whatnot, we looked at protein
pruning as a way to identify

binding sites before or really
blocking atoms.

Atoms are blocking interesting
binding sites before doing

docking and then did that.
That was OK.

But really what what took off
the company and, and made it a

company rather just a fun set of
projects was we wrote about

protein binding with regards to
hydroxychloroquine, azithromycin

and how so this is the beginning
of the COVID pandemic and it was

clear that these drugs don't
really do anything.

So we basically sure it does not
do anything.

But that paper got cited a lot
because it was something that

people were needing at the time.
So that's that's then how we got

our first client at UC Davis
Medical Center and at for with

my company if and only if
technologies.

What happens when the wall comes
down?

Once we can measure everything,
compute everything, and see

everything, what do we find?
The answer might surprise you.

We don't find a machine, we find
something much stranger.

But what did you learn from
that?

You learned that, you know, drug
discovery and development can

happen with not just traditional
ways of identifying a disease

and develop a therapeutic for
it, but you can also learn from

traditional Chinese medicine.
You have Ayurveda in India, and

a lot of it goes back to another
major point in drug discovery

and development that we have not
touched upon, and that's called

the placebo effect.
And so if you believe in

something, even giving somebody
water and they have the belief

that the water that you give
them is going to cure them, it's

stranger than life fiction, but
they have been cured.

People are so there is a whole
body response to something like

this that does work, but of
course you cannot scale it.

You cannot promise somebody and
charge them, make some money for

the water that you give them.
So that's interesting,

consciousness and at the center
and the power of mind.

Let's see what we can do with
that one.

I have learned to be careful.
In this space there is a lion

and crackpots stand on the other
side.

I have to put a no fly zone with
a large buffer zone around that

space.
OK, this was the quantum dragon.

Let's be careful here.
Then if you're trying to bring

some of these things into the
normal pathway, then then you

have to have really pragmatic
trials with pre registered

endpoints and and you have to
look at how the mindfulness and

everything of this digital, you
know, typing can actually

benefit I'm.
Way more confused than he is.

You mentioned Aura and I say
that as you said, there are

publications that speak about
detecting bio photons and they

were.
We were not able to measure them

because the signal is so faint.
It's basically to most of our

imaging systems undetectable,
but see them and as we advance.

Our.
Technologies in sensing, I'm

sure that they will be turning
out into having different

spectrums, colors, I don't know,
different intensities as you

said.
And our ancient wisdom had this

included in them.
So basically we have to be very

careful not to believe anything,
but we have to change our

mindset to a state of open
mindedness to explore the things

that we have basically
disregarded up to now.

To truly navigate that no fly
zone, to tell the difference

between legitimate frontiers and
the crackpots, you need someone

who spent decades in the exact
places where science gets

uncomfortable.
Which is exactly where Dean

Radin has chosen to work.
So I happen to pay attention to

research in anomalies because
truth is revealed by anomalies

and not by conformance.
By conformity, it's anomalies

rather than conformity.
So it's attracted to things that

didn't quite fit, and one of
those things was

parapsychological claims.
So where is the boundary between

breakthrough and bullshit?
Dean Radin has been studying

that intersection for 40 years.
The Dragon's nofly zone protects

the messy middle, and Dean Radin
is the cartographer of that

territory.
And so just when I was preparing

to leave with my doctorate, I
noticed that there was a job

opening at Princeton University
for a group there that was doing

research on these kinds of
phenomena, mind matter,

interaction phenomena.
In fact.

What the hell?
If you've spoken to Dean Raiden,

I can tell you a human part of
the story.

I suspect your audience is more
more human than some of the

scientists I deal with.
This is Paul Werbus, one of The

Pioneers of artificial neural
networks.

When I was young, I really
fiercely believed that the

concept of the human soul was
total nonsense, and psychic

phenomena was even more total
nonsense.

He's not a mystical thinker, and
he's not alone in this belief.

So I applied and I basically
would have been given the job I

would like.
I was qualified for it,

qualified for it, but I was told
and recommended that you don't

want to do this as your first
job.

So don't start your doctoral
career with a controversial

topic because that will that
will taint you for the rest of

your life.
So I paid attention to that.

So I went to Bell Labs instead
and did conventional work.

But I still remember that this
was a very attractive topic

because it was conventional
science, or at least the

epistemology of conventional
science being applied to things

that were considered way out on
the fringe.

If we live in a universe which
is 3 dimensions of space and one

of time, if that's what the real
universe is just like what

Einstein thought, it seemed as
if that could not be reconciled

with certain experiments.
And so at Bell Labs, I started

doing those experiments.
I, I took advantage of business

travel to visit laboratories
around the United States to talk

to people and see what they were
actually doing.

The few people who were actually
scientists doing this kind of

work.
And I became more and more

intrigued.
So I figured out a way to

actually incorporate this a
little bit into some of my Bell

Labs work by looking at the mind
machine interaction.

But at the end of the day, yes,
the experiments disagreed with

common sense ideas of time.
If you replace these ideas of

time with time symmetric models
of the macroscopic objects you

use in the experiment, the
paradox will disappear.

I've worked out the mathematics
to show it's not impossible.

You can be a hardcore realist
and still believe in psychic

phenomena, which is the other
side of life.

After 1967, I explored and
explored, and I think there's no

doubt that the psychic phenomena
are very real, though we do have

what we call souls, that there
is a kind of spiritual

connection between US, and it is
consistent with mathematical

science.
And I learned that what has been

irrationalized at the moment
used to be our ancient wisdom,

as you said.
I don't have a question as such,

but all all I would say is the
feature of Healthcare is

entangled.
It's completely entangled with

science and technology and
humanity woven together for me.

The personal convincing point
was when I was doing an

experiments at the GSI.
Yeah, I have recognized there

are things beyond our current
framework of material science

that we have.
Because when you touch the edge

of the science and then try to
push it a little bit forward,

there's a point that you leave
the one boundaries of the known

science.
See stuff that you're sure that

the level of our understanding
of our current framework of

science lacks a lot and leaves a
lot to be.

So I was convinced to look for
more.

Yeah, but I pay attention to
quantum sensing mostly break

computer interfaces.
I would like to see the

intersection of quantum
computers.

Using quantum information.
For quantum sensors over.

I recognize OK in our material
framework, whatever we cannot

prove or detect or measure, we
immediately put them in a non

scientific category.
But nowadays, as our

technologies advance, especially
in sensing, because as I've

said, I have the idea that
sensing opens new doors for us

as we advance in our technology,
as we advance in our

computational power, as we
advance in our manufacturing, we

have started detecting signals
that previously was not

possible.
And tangle health.

It's an intriguing name, isn't
it?

It brings to mind overlapping
and intercorrelated fields, and

also what is entangled.
So I looked it up.

According to the Oxford
Dictionary, it means cause to

become twisted together with or
cough in.

So I can imagine overlapping an
interdependent scientific

fields.
A nice colored graph if you may,

but then if you if you ask what
is entangled, we can also ask

what is health?
So I'll look this up as well.

As defined by the World Health
Organization I quote is a state

of complete physical, mental,
and social well-being and not

merely the absence of disease or
infirmity.

This definition emphasis that
health is more than just the

absence of illness.
It encompasses a positive state

of being across multiple
dimension.

Gabriela is describing the real
frontier now, not building the

technology, but building the
system that delivers it.

That system has to bridge
quantum physics and patients.

It has to bridge venture capital
and clinical evidence.

It has to bridge individual
healing and collective health.

Retangled health isn't a
metaphor anymore, it's a

description of the actual work
that has to happen.

It was always a hacking mindset
with I guess the driving force

was what if let's just do it
makes it happen and being

always.
I think two things that drove my

minds and one is try to be the
stupidest person in the room.

Many people tries to be this
marked as one, right?

I think it should be the other
way around.

You have to surround by people
that are smarter and more

intelligent than you.
And then #2 is be brave.

And sometimes you're just
outside of your comfort zone

doing something that you're
definitely not prepared to.

But Halsey, yeah, let's go and
do it.

And things will happen.
Today we tried something

different, an experiment within
the experiment.

Instead of meeting one guest and
diving in deep into their work,

you heard Logan voices from
earlier conversations around a

single thread that keeps
emerging across disciplines.

The idea was simple but radical.
Maybe the best answers to the

biggest questions don't come
from one expert, but from the

entanglement itself, from
connections between fields,

minds, and ways of seeing the
same problem.

And this was only a snapshot.
We haven't even heard from all

13 guests yet.
But as I do my digesting work

here, I just got another idea
why not inviting you to submit

your director's cut.
So feel free to download the

hours of material and just
prepare something that is

fitting to you.
And I'll be really keen to

listen to your perspective.
So what's coming out, what you

make out of the raw material,
what ideas you generate that

will be cool?
Yeah.

Let's see.
Yeah.

Dear friends, we are now
entangled.

Thanks for listening and for
being part of this experiment at

the intersection of quantum tech
and health.

If today's conversation sparked
an idea, a critique, or

triggered the question, please
share it.

And maybe your question is
selected in a future episode out

of the Growing pool.
And you know the game.

If you like it, please
subscribe, leave a rating, and

then tackle further by passing
this episode to someone you

think should join the gang.
Until next time, stay kind, stay

curious, and keep exploring the
unseen with untangled health.