Personalized cancer therapies driven by AI

[Music]

[Music]

let me give you a sneak peek

into the future in the future

everything will be truly personalized in

the future

we will be designing one therapy for

each individual patient

personalization is now becoming a

reality due to the advancements in

artificial intelligence or ai

ai is enabling us to develop cancer

therapy that are specifically tailored

to the individual patient

based on the genetic code or the dna of

the individual

we can use the wealth of information

contained within the dna of the

individual

to tailor the therapy to that specific

cancer patient

but now you may ask yourselves how do we

get from the dna

of an individual cancer patient to a

personalized cancer therapy

using ai

in order to understand this let’s take a

step back and look at cancer therapy

in a traditional cancer therapy approach

such as chemotherapy

we’re using a one-size-fits-all model

these types of therapies target cancer

non-specifically

which is which causes side effects and

is not always effective in fighting off

the cancer

the challenge however is in cancer and

in tumors

tumors each tumor is unique and we can

argue that a more effective therapy can

be developed if we treat the tumor as

such

in a personalized approach we want to

target each patient

uniquely more importantly we want to

target each

tumor uniquely we basically want to look

at the foreign elements that are

displayed on the surface of the tumor

cells

and target these

these foreign elements arise from

mutations that can be caused by for

example

environmental factors such as sun or

smoking

mutations are completely normal events

in the human body and we have developed

many mechanisms to mitigate the

potentially

dangerous actions that these mutations

can have

however in cancer these one or more

mutational events

have not been mitigated and this can

result

in the development of a potentially

malignant tumor

tumor cells are disguising themselves as

normal

cells this means that tumor cells are

putting up a protective shield

allowing them to attract all the

essential nutrients they need to grow

allowing them to ultimately grow out of

control

the immune system cannot recognize the

tumor cells as foreign

our immune system consists of so-called

t-cells and t-cells constantly

survey the body and monitor whether

there’s any danger looking

they are experts in finding foreign

intruders that are trying to invade the

body

such as bacteria and virus virus such as

the coronavirus which i guess you are

all experts in now in light of the

pandemic

in cancer the tumor should in principle

be just as foreign to the human body

as a virus is but somehow it is not

the tumor goes unnoticed by the immune

system the tumor is in disguise

we want to design personalized cancer

therapy that helps the immune system

see the tumor we want to help the immune

system see the foreign elements

on the surface of the tumor cells and we

want to

boost an immune response that makes sure

that we have the right t cells present

and enough of the t cells present to

actually fight off the tumor

in a personalized cancer therapy what we

want to do is we want to develop a

therapy specifically designed

based on the genetic code of the dna of

the individual

patient we want to bring this these

foreign elements that are on the surface

of the tumor we want to bring them out

in the open

and the way we do that in a personalized

cancer therapy approach

is actually by providing the body with

more of this foreign material

exactly as we would do in a vaccine

against coronavirus

so let me illustrate what these foreign

elements actually are

these foreign elements are what we call

neo-epitopes

or new epitopes and epitopes are small

molecules that are displayed on the

surface of our cells

in complex with a specialized immune

molecule called

mhc neo-epitopes

or new epitopes have arisen from

mutations in our dna

and then they are displayed on the

surface of the cells in complex with

these mhc

each cancer patient or each tumor of

each cancer patient

is defined by a unique set of neopotents

and also each patient has a unique set

of mhc

it’s only a subset of the molecules that

are bound to the mhc or displayed on the

surface by mhc

that are actually neopotopes and

identifying these

of uh is a hugely complex task also

the immune system being able to see

these is also

a highly complex task for the immune

system

imagine that these neops are screaming

at the top

of their lungs trying to inform the

immune system that there is danger

the neoprobes are trying to tell the

immune system that is something wrong

with this cell

there’s something wrong with this tumor

cell and that they should immediately

kill

the cell the problem is however

that these this signal that the neotopes

are trying to convey is drowning in

other single

signals provided by the the tumor cell

but also

surrounding the tumor cell that results

in the knee octop signal not being heard

what we want to do in a neoprete-based

personalized

cancer therapy is we want to shift this

balance

and we want to amplify the dangerous

signal

basically allowing the immune system to

be able to

hear the voices of the neopets we want

to provide the neopotopes

with a megaphone in order for the immune

system to be able to hear them better

in order to fight off the tumor

let me try to visualize how we would

design

such a personalized cancer therapy

this you see here is a cancer patient

or more specifically this is the healthy

dna of a cancer patient

this is the dna of the tumor of this

specific cancer patient

what we want to do is we want to

identify these mutations that are unique

to the tumor of this specific patient

and the way in which we do that is

overlay the dna of the tumor with the

dna of the healthy tissue

in order to isolate the mutations

this results in potentially a list of

thousands of mutations

and what we want to do is we want to

based on these thousands of mutations

we want to identify which of those are

actually displayed on the surface of

cells

and and are able to interact with the

immune system in order to inform that

this tumor

is actually a tumor cell so what we want

to do is we want to find the needle in

the haystack

we want to find the neotopes that will

be displayed on the surface

and this is a challenging task in

principle what we want to do is we want

to actually test each of these mutations

in the lab

we want to test whether they are

displayed on the cell surface and we

also want to test whether they are

they have the ability to interact with

the immune system

however as you can imagine doing this

testing all of these in the lab would is

a highly complex task

would take very long time and is

therefore not feasible

so we need other tools to identify these

neops and this is where ai comes into

the picture

an ai algorithm in the context of

neopitot identification is trained on

vast biological data sets that contain

information about

molecules that are displayed on the

source of cells and we can use that

information

to identify our neotopes an example of

such data

is that we take cells from

lots and lots thousands and thousands of

different people

we then strip the surface of these cells

for the for their epitopes

as you can imagine this results in an

extremely long list of epitopes

what we want to do with ai is we want to

look at this really long list of

epitopes

and we want the ai to identify patterns

in these

epitopes that will allow us to look at

similar patterns in neotopes

in order to figure out what is actually

presented on the cell’s surface

what we do with our ai algorithm when we

see when we get a new patient and we

want to see

what neopotopes i are unique to this

patient’s tumor

is that we use our ai and the ai uses

all its past

experience that it’s learned from all of

the other data it’s seen

and it uses that past experience to

figure out for this specific patient

which neo-epitopes should we be bringing

out into into the open

which neopetopes which voices should we

be amplifying

in order for the immune system to be

able to spot the tumor

once we’ve identified our neopotopes

with our ai algorithm

we can go back into the lab and we can

then make more of these

neops synthetically we can then put

these neopotopes

into our personalized cancer therapy and

give this back to the patient

in order to amplify the danger signal

and for the patient’s

own immune system to be able to fight

off the cancer

let me finish off by telling you a story

about tomorrow

based on many of the things that we can

already do today

after many years in the sun mostly

without sun protection

my grandmother harriet has developed

skin cancer

she visits the hospital and the hospital

decides that

a personalized cancer approach would be

the way to go for her

a tumor biopsy and a blood sample is

taken from my grandmother

and this is the material we need to

design personalized therapy specific for

her

once she is waiting for her therapy to

be produced we’ll take a look behind the

scenes

and see how do we actually produce this

personalized cancer therapy

we look at the dna of the healthy tissue

of my grandmother

and we look at the dna of our tumor and

this is what we use to identify the

computational

or computationally identify the

mutational landscape of her tumor

specifically

we can use the blood sample to identify

the mhc the immune molecules that are

specific to her

once we have this information we can

then use ai to extract the neopotopes

that are specific to her tumor

these computational steps can ach can be

achieved within a matter of hours

once we’ve identified identified on

neoprotops

we can go back into the lab synthesize

them

make a personalized cancer therapy

specific for my grandmother

and when she comes back to the hospital

she can be given her therapy

and after some time my grandmother’s own

immune system will be able to fight

off the cancer

just imagine this world of tomorrow a

world

where personalization is the norm and

where each cancer patient can be treated

specifically based on his or her tumor

a world where each cancer patient can be

given a cancer cancer treatment

with no off-target toxicities and with

high effectiveness in fighting off

the in the body that is the cancer

tailor-made personalized cancer therapy

driven by ai can potentially make this

reality

thank you

[Applause]

you

[音乐]

[音乐]

让我让你

先睹为快 未来

一切都将真正个性

化 未来

我们将为每个患者设计一种疗法

由于人工智能的进步,个性化正在成为现实

或者 ai

ai 使我们能够

根据遗传密码或

个体

的 dna 开发专门为

个体患者量身定制的癌症治疗方法

癌症患者,

但现在您可能会问自己,我们

如何从

个体癌症患者的 dna 到使用人工智能的

个性化癌症治疗

,以便理解这一点,让我们

退后一步,看看

传统癌症治疗方法中的癌症治疗,

例如 化疗

我们使用一刀切的模型

这些类型的疗法

非特异性地针对癌症

,这会导致 si 效果

并不总是有效地对抗

癌症 然而挑战在于癌症

和肿瘤

肿瘤中的每个肿瘤都是独一无二的,我们可以

争辩说,

如果我们以个性化的方法治疗肿瘤,可以开发出更有效的治疗

方法 希望以独特的方式

针对每个患者

更重要的是我们希望以独特的方式

针对每个

肿瘤我们基本上希望查看

显示在肿瘤细胞表面上的

外来元素并针对这些外来元素来自

可能由例如引起的突变

环境因素(例如阳光或

吸烟

突变)在人体中是完全正常的事件

,我们已经开发了

许多机制来减轻

这些突变可能产生的潜在危险作用,

但是在癌症中,这些一个或多个

突变

事件并未得到缓解,这可能

导致

在潜在恶性肿瘤的发展过程中,

肿瘤细胞将自己伪装成

正常

细胞这意味着肿瘤细胞

正在建立一个保护屏障,

使它们能够吸引

它们生长所需的所有必需营养物质,

从而使它们最终失去

控制免疫系统无法将

肿瘤细胞识别为外来

我们的免疫系统由以下组成 所谓的

t细胞和t细胞不断地

检查身体并监测是否

有任何危险,

他们是寻找

试图入侵身体的外来入侵者的专家,

例如细菌和病毒病毒,

例如冠状病毒,我猜你们

都是专家 现在,鉴于癌症的

大流行

,原则

上肿瘤应该像病毒一样对人体来说是陌生的,

但不知何故,

肿瘤不会被免疫

系统忽视 肿瘤是伪装的

我们想要设计个性化的癌症

帮助免疫系统

看到肿瘤的疗法 我们想帮助免疫

系统看到

肿瘤细胞表面的异物,我们

希望 nt

增强免疫反应,

确保我们有正确的 t 细胞存在,

并且存在足够的 t 细胞,以

在个性化的癌症治疗中实际对抗肿瘤 我们

想要做的是我们想要开发一种

专门设计

的治疗方法 在个体患者的 dna 遗传密码上,

我们希望

将这些位于肿瘤表面的外来元素带入

肿瘤表面,我们希望将它们

公开出来,

而我们在个性化

癌症治疗方法中这样做的方式

实际上是 通过向身体提供

更多的这种外来物质,

就像我们在针对冠状病毒的疫苗中所做的那样,

所以让我来说明这些外来

元素实际上是什么

这些外来元素是我们所说的

新表位

或新表位,表位是小

分子,它们是 显示在

我们的细胞表面,

与一种

称为

mhc 新表位

或新表位的特殊免疫分子复合,这些表位是由

我们的 dna 突变产生

的 d 然后它们显示在

与这些 mhc 复合的细胞表面上

每个癌症患者或每个癌症患者的每个肿瘤

都由一组独特的新潜能定义,

并且每个患者都有一组独特

的 mhc 它只是

与 mhc 结合或

由 mhc 显示在表面上的

分子实际上是新抗原,

识别

这些 uh 是一项非常复杂的

任务,免疫系统能够看到

这些

对于免疫系统来说也是一项非常复杂的任务,

想象这些 新人

他们的肺顶部尖叫,试图告知

免疫系统存在

危险,新探针试图告诉

免疫系统

这个细胞

有问题,这个肿瘤

细胞有问题,他们应该立即

杀死细胞 然而

,问题在于,新

细胞试图传达的这些信号淹没在

肿瘤细胞提供的其他单一信号中,

而且

围绕肿瘤细胞,

导致听不到膝盖八爪鱼信号

我们想要在基于neoprete的

个性化

癌症治疗中做的是我们想要改变这种

平衡

并且我们想要放大危险

信号

基本上允许免疫系统

能够 为了

听到新宠物的声音,我们想

为新宠物

提供扩音器,以便免疫

系统能够更好地听到它们

,从而抵抗肿瘤

让我试着想象一下我们将如何

设计

这种个性化的癌症疗法

你在这里看到的是一位癌症患者,

或者更具体地说,这

是一位癌症患者的健康 dna

这是这位特定癌症患者的肿瘤 dna

我们想要做的是我们想要

识别这些

肿瘤特有的突变 这个特定患者

的基因以及我们这样做的方式是将肿瘤的

dna 与健康组织

的 dna 重叠以分离突变,

这可能会导致

数千个突变的列表

,我们想要做的是我们想要

基于这数千个突变,

我们想要确定哪些突变

实际上显示在细胞表面

,并且能够与

免疫系统相互作用,以便告知 这个

肿瘤实际上是一个肿瘤细胞 所以我们

想要做的是我们想要在大海捞针中找到针

我们想要找到

将显示在表面上的新元素

这原则上是一项具有挑战性的任务

我们想要做什么 我们是否想

在实验室中实际测试这些突变中的每一个

我们想测试它们是否

显示在细胞表面上并且我们

还想测试它们

是否具有与免疫系统相互作用的能力

但是正如你想象的那样

在实验室中对所有这些进行测试是

一项非常复杂的任务

,需要很长时间,

因此不可行,

因此我们需要其他工具来识别这些

Neops,这就是 AI 发挥作用的地方

e

在 neopitot 识别背景下的 AI 算法

是在

大量生物数据集上训练的,这些数据集包含

有关在细胞源上显示的分子的信息

,我们可以使用该

信息

来识别我们的 neotopes

此类数据的一个示例

是我们获取细胞 然后我们从

成千上万

不同的人中

剥离这些细胞的表面

以获取它们的表位,

正如您可以想象的那样,这会产生

非常长的表位列表

非常长的

表位列表

,我们希望人工智能识别

这些

表位中的模式,这将使我们能够查看新表位中的

相似模式

,以便找出

细胞表面实际呈现的

内容 当我们看到时我们使用人工智能算法做什么

当我们得到一个新病人并且我们

想看看

这个病人的肿瘤有什么新异位素

时,我们使用我们的人工智能,而人工智能使用

它过去的所有

经验 它从

它所看到的所有其他数据中学习,

并利用过去的经验

为这个特定的患者找出

我们应该公开哪些新表位,哪些新表位

我们应该放大哪些声音

以便免疫

一旦我们用我们的人工智能算法识别了我们的新细胞,系统就能够发现肿瘤,

我们可以回到实验室,

然后我们可以合成更多这些新

细胞,然后我们可以将

这些新细胞

放入我们的个性化癌症治疗中并

给予这个 回到患者

身边,以放大危险信号,让患者自身

的免疫

系统

能够抵抗癌症 很多年在阳光下大部分时间都

没有防晒

我的祖母哈里特患上了

皮肤癌,

她去医院就诊,医院

决定

采用个性化的癌症治疗方法 应该

是为她

做肿瘤活检并

从我祖母那里采集

血样

的方法 在幕后

,看看我们如何实际生产这种

个性化的癌症疗法

具体来说,

我们可以使用血液样本来

识别 mhc

一旦我们有了这些信息,我们就

可以使用 AI 来提取

她的肿瘤特有的新抗原

这些计算步骤可以是

一旦我们在neoprotops上确定了识别,我们可以在

几个小时内完成,

我们可以回到实验室合成

它们

使个性化的癌症治疗具有

特异性 对于我的祖母

,当她回到医院时,

她可以接受治疗

,一段时间后,我祖母自己的

免疫系统将能够抵抗

癌症 癌症患者可以

根据他或她的肿瘤进行针对性治疗

一个世界,每个癌症患者都可以

接受癌症治疗

,没有脱靶毒性,并且可以

高效地

对抗体内的癌症,这是

量身定制的个性化癌症

人工智能驱动的癌症治疗有可能让这个成为

现实

谢谢

[鼓掌]

你们