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El laboratorio de bolsillo que puede revolucionar la medicina | Carlos García | TEDxCordoba


Translator: Raquel Sevilla Reviewer: Sebastian Betti

Statistically,

about 1 in 10 of us

will develop diabetes

And, statistically, more or less 1 in 3 of us

will develop some type of cancer.

Knowing that: how many of you would like to have a biochemical friend,

Like me, I could go to his house at any time

do the tests,

give you the results,

and, with those numbers, call the doctor

and develop a therapy that fits specifically

to the needs of you?

Well, that’s called personalized medicine,

and, unfortunately, for a matter of time, cost and space,

it is incompatible with traditional clinical analysis systems.

However, in our laboratory

We believe that one of the pillars of this transformation

that will change the way we relate to medical systems

is the development of miniaturized systems.

In our laboratory, we are working on systems

so small, simple and cheap,

that can even be used directly by patients.

And I would like to ask you

how many of you know

how they started doing clinical analyzes

to diagnose diseases.

For example, like diabetes.

Diabetes, it’s called diabetes mellitus,

and it is so called because it combines two Greek words:

the first, which means siphon;

and the second, which means sweet.

And, without much appeal to The fat book of Petete,

You can tell that you started diagnosing

finding sugar in the patients’ urine.

And, something like 2500 years ago,

that diagnosis was made from finding urine;

and there were people who tested patients’ urine.

From that time until now,

a million have been developed

of analytical strategies to measure chemical compounds

in a lot of samples.

However, the vast majority

of the clinical tests that are done today,

are made by people who are highly trained

and they use large equipment

and of very, very high cost.

Only in some cases in particular

other strategies can be used;

as, for example, reactive batteries,

that allow us to find

some very common compounds in the urine.

One step up in order of complexity,

we can see the glucometers, which are used to measure

a relatively common molecule

and that is in relatively high concentrations.

One step up, we find the pregnancy tests,

that, while they are very sensitive and very specific,

they only give us a binary response.

Of course, in the case of most of you,

probably do not mind knowing

if they are a little or very pregnant.

If we go one step further,

we found microfluidic systems, but traditional ones;

that, while they are very versatile

and they allow us to measure a lot of other molecules,

they still require the use of very specialized instrumentation.

In our laboratory we are making other devices

who try to combine all these advantages

of these devices that already exist,

so that we can measure relatively complex molecules,

as they can be, tumor markers,

which are in very, very low concentrations.

And we want, in addition,

that these devices can do the analysis

in a simple, cheap, fast and portable way.

Practically nothing.

And for that, what we use is paper,

because the paper meets the three bes:

It’s good, nice and cheap.

It’s good, because we can process it

using technology that already exists,

like, for example, a printer, a little scissors

or even a fibron.

And once the patient used it,

simply put a match near it and the pathogenic residues are finished.

It’s nice, because it has a uniform white color,

and then it allows us to program chemical reactions

that give a change of color,

and also, it allows us to program a lot of different reactions,

and then we can measure a lot of different compounds

on the same chip.

And it’s also very cheap, because it’s paper.

In fact, the chips that we make in our laboratory

we make them with filter paper,

but there are a lot of other people

who has made chips with napkins and even with toilet paper,

so think how many of them are going to be wasted in the next break.

If the issue of color changes is really not new,

this comes practically from the time of the Greeks,

What is different about the technology that we use?

What is different is that we can now adapt it to another technology

that you do have, such as a cell phone.

What is the difference?

That now these bugs allow us to obtain an image,

calculate a color intensity,

pass that color intensity to a number,

And also I can send that number anywhere in the world

with a text message.

And then, in this way, you can imagine

very quickly, that within a very short time

You will not need to go to the doctor.

In fact, there are a lot of programs in the world of remote medicine

that work very well

Nor is going to need to go to the biochemist,

because now the chips, as they are made of paper,

I can put them in an envelope and send them by mail.

And you’re not going to need to go to the pharmacy either,

because if this works well,

that information can be centralized,

and the doctor simply sends them home what they need.

We believe that this technology,

together with cell phones,

not only will it dramatically shorten the time between diagnosis and treatment,

but it will greatly improve the quality of patient care.

Well, what patients?

When we started working on this topic,

something like 5 or 6 years ago,

and we set out to design a device

that would allow us to measure nitrites in saliva.

Why nitrites?

Because nitrites are a marker of inflammation.

And then, with a chip,

that is worth a peso,

which is stable at room temperature for one month,

that requires only a drop of saliva

and that can be measured with a common scanner,

I can not only provide oral health

to a lot of people who would not otherwise have it,

but I can also allow a dentist

that, without looking at a lot of patients,

classify them very, very quickly.

How does this story continue?

Well, in the last 5 or 6 years,

we have made a lot of these chips,

and we have solved a large number of the problems that this technology had.

In fact, we have implemented a detection system

that no longer requires color measurement,

and today we already have a chip

that is entirely made of paper,

even the electrodes for detection;

that can measure tumor markers,

and that you can also measure them in the correct clinical range.

The other good news

is that there are a lot of people working on this topic.

And then, these paper chips

have been applied, for example, to the detection of pollutants,

or to quality control of drugs.

As this technology grows,

we are convinced that in the next 10 or 20 years

You are going to be able to measure your own tumor markers

in the living room of your home and simply

Send the results to the doctor with a text message.

The bad news, unfortunately,

is that the technology is already very cheap,

and it’s hard to find people who want to be involved

in a relatively complex project

with profit margins that are relatively small.

At this point you already realize that the technology is here

and it’s very simple,

and that also allows us to answer relatively complex questions,

particularly linked to the field of biochemistry.

And then, at this point,

we should start thinking about other things,

like, for example, if we really are

or we are willing to belong to a health system

that each time depends less on personal interaction with the doctor,

but that will allow me to follow much better each one of you.

I also have to think

what kind of information do I want to share with a text message,

with whom I want to share

and what legal framework is needed to implement

so that this information is used correctly.

Those of us here,

we have to think also what educational changes

it is necessary to implement

so that someone who enters the Faculty of Medical Sciences today

or Chemical Sciences

be an active participant in the development of this technology

and do not end up being an end user.

Like little,

we also have to think

what changes need to be implemented in health systems

so that governments, not only the present, but those that come,

be able to integrate people like all of us

to what we call personalized medicine.

Thank you.

(Applause)

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