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Here's a teaser. 00:04
What if I told you that cures for chronic disease 00:06
were hidden in our own immune systems? 00:09
If only we could read that information out. 00:14
So let's take multiple sclerosis, 00:17
for example. 00:19
Multiple sclerosis is a debilitating autoimmune disease 00:20
where our own cells attack the brain. 00:24
And for years we didn't know what caused it, 00:28
which makes it very difficult to treat. 00:31
So in January 2022, 00:34
a study came out 00:37
where they followed 10 million people 00:38
for 20 years, 00:41
and they found that Epstein-Barr virus — 00:42
so mono, the kissing disease — 00:45
increased the risk of multiple sclerosis by 32 times. 00:47
It's a big deal. 00:53
You might have seen it in the news. 00:54
So three days later, 00:56
another study came out in "Nature" showing not just a correlation, 00:57
but a direct link between Epstein-Barr virus and multiple sclerosis. 01:02
Using just 12 people, 01:07
and sampling, like, once. 01:09
So 10 million people, 20 years -- 01:12
12 people 01:16
in, like, a day. 01:18
How did they do that? 01:20
So the team, Robinson and Lanz, 01:23
used a snapshot of information stored in our memory immune cells 01:25
to infer backwards what had come before and triggered the disease, 01:30
or what I like to call forensic immunology. 01:35
And in Robinson's case, 01:40
they already knew what they were looking for: 01:42
Epstein-Barr virus, myelin. 01:44
So they only had to decode a tiny part of the massive, distributed, 01:47
ever evolving archive 01:53
that is the memory immune system. 01:55
So the immune system stores an imprint of everything it encounters: 01:58
infections, allergies, autoimmunity, toxins, cancer. 02:02
It's basically a web browser history. 02:08
It's also how vaccines work. 02:12
So though we may not know what is causing a disease, 02:15
the immune system probably does. 02:19
And if we could decode the immune archive at scale, 02:22
we could apply forensic immunology 02:25
to diseases where we don't yet know the cause. 02:28
So that is exactly what my team aims to do. 02:31
And so I am thrilled to announce publicly, 02:35
for the first time in print, 02:39
a forensic immunology Focused Research Organization 02:41
or FRO, 02:45
building machine learning and experimental tools 02:46
to identify the hidden causes of and cures for chronic disease. 02:49
Currently, we are generously supported by Eric and Wendy Schmidt, 02:55
Convergent Research, and the City of New York. 02:59
We're also -- yeah, New York, right? 03:03
(Applause and Cheers) 03:05
And everyone else. 03:06
We're also going to apply these tools to intractable chronic diseases, 03:08
particularly neurological and psychiatric disorders. 03:13
So why neuropsych, right? 03:17
Emerging evidence, including some of my own work, 03:19
suggests that a lot of what we are calling psychiatric disorders 03:23
are actually immune diseases. 03:27
So, for example, the immune system stores a memory of psychological stress 03:29
and is involved in stress resilience. 03:35
And a lot of cases of schizophrenia are actually turning out 03:38
to be driven by underlying autoimmune disease. 03:42
And the shingles vaccine might prevent dementia. 03:46
And there's also everything that we saw during the pandemic. 03:50
COVID causing de novo psychiatric disorders, 03:53
long COVID. 03:57
So really we are in the middle of an immunotherapy revolution for cancer. 03:59
Some cancers that had 90 percent mortality rates 50 years ago 04:05
now have 90 percent cure rates. 04:10
What if we could extend that revolution 04:13
to autoimmunity, diabetes, 04:16
dementia, depression? 04:19
Maybe in 15 years, 04:22
if we can learn 04:24
what the immune system already knows, 04:25
we could take the chronic out of chronic disease. 04:28
Thank you. 04:32
(Applause and cheers) 04:33

– English Lyrics

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Lyrics & Translation

[English]
Here's a teaser.
What if I told you that cures for chronic disease
were hidden in our own immune systems?
If only we could read that information out.
So let's take multiple sclerosis,
for example.
Multiple sclerosis is a debilitating autoimmune disease
where our own cells attack the brain.
And for years we didn't know what caused it,
which makes it very difficult to treat.
So in January 2022,
a study came out
where they followed 10 million people
for 20 years,
and they found that Epstein-Barr virus —
so mono, the kissing disease —
increased the risk of multiple sclerosis by 32 times.
It's a big deal.
You might have seen it in the news.
So three days later,
another study came out in "Nature" showing not just a correlation,
but a direct link between Epstein-Barr virus and multiple sclerosis.
Using just 12 people,
and sampling, like, once.
So 10 million people, 20 years --
12 people
in, like, a day.
How did they do that?
So the team, Robinson and Lanz,
used a snapshot of information stored in our memory immune cells
to infer backwards what had come before and triggered the disease,
or what I like to call forensic immunology.
And in Robinson's case,
they already knew what they were looking for:
Epstein-Barr virus, myelin.
So they only had to decode a tiny part of the massive, distributed,
ever evolving archive
that is the memory immune system.
So the immune system stores an imprint of everything it encounters:
infections, allergies, autoimmunity, toxins, cancer.
It's basically a web browser history.
It's also how vaccines work.
So though we may not know what is causing a disease,
the immune system probably does.
And if we could decode the immune archive at scale,
we could apply forensic immunology
to diseases where we don't yet know the cause.
So that is exactly what my team aims to do.
And so I am thrilled to announce publicly,
for the first time in print,
a forensic immunology Focused Research Organization
or FRO,
building machine learning and experimental tools
to identify the hidden causes of and cures for chronic disease.
Currently, we are generously supported by Eric and Wendy Schmidt,
Convergent Research, and the City of New York.
We're also -- yeah, New York, right?
(Applause and Cheers)
And everyone else.
We're also going to apply these tools to intractable chronic diseases,
particularly neurological and psychiatric disorders.
So why neuropsych, right?
Emerging evidence, including some of my own work,
suggests that a lot of what we are calling psychiatric disorders
are actually immune diseases.
So, for example, the immune system stores a memory of psychological stress
and is involved in stress resilience.
And a lot of cases of schizophrenia are actually turning out
to be driven by underlying autoimmune disease.
And the shingles vaccine might prevent dementia.
And there's also everything that we saw during the pandemic.
COVID causing de novo psychiatric disorders,
long COVID.
So really we are in the middle of an immunotherapy revolution for cancer.
Some cancers that had 90 percent mortality rates 50 years ago
now have 90 percent cure rates.
What if we could extend that revolution
to autoimmunity, diabetes,
dementia, depression?
Maybe in 15 years,
if we can learn
what the immune system already knows,
we could take the chronic out of chronic disease.
Thank you.
(Applause and cheers)

Key Vocabulary

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Vocabulary Meanings

cure

/kjʊər/

B1
  • noun
  • - a solution to a disease or problem
  • verb
  • - to restore to health

disease

/dɪˈziːz/

A2
  • noun
  • - an illness or condition that impairs normal functioning

immune

/ɪˈmjuːn/

B2
  • adjective
  • - protected from disease

system

/ˈsɪstəm/

B1
  • noun
  • - a set of connected things working together

cells

/selz/

B2
  • noun
  • - the basic structural and functional unit of all living organisms

attack

/əˈtæk/

A2
  • verb
  • - to make a violent assault

treat

/triːt/

A2
  • verb
  • - to give medical care to

virus

/ˈvaɪrəs/

B2
  • noun
  • - an infectious agent that replicates inside living cells

risk

/rɪsk/

B1
  • noun
  • - the possibility of something bad happening

correlation

/ˌkɒrɪˈleɪʃən/

C1
  • noun
  • - a mutual relationship or connection

link

/lɪŋk/

B1
  • noun
  • - a connection between two things

sampling

/ˈsæmplɪŋ/

B2
  • noun
  • - the process of selecting a representative portion of a population

memory

/ˈmeməri/

A2
  • noun
  • - the ability to retain information

infer

/ɪnˈfɜːr/

C1
  • verb
  • - to deduce or conclude from evidence

massive

/ˈmæsɪv/

B2
  • adjective
  • - extremely large

archive

/ˈɑːrkaɪv/

C1
  • noun
  • - a collection of historical records

encounter

/ɪnˈkaʊntər/

B2
  • verb
  • - to meet unexpectedly

resilience

/rɪˈzɪliəns/

C1
  • noun
  • - the ability to recover quickly from difficulties

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