The Impact of AI in the World of Science Tutorial

Discover how AI can transform the world of science. This video presents the impact of AI in the scientific field, and explores the various ways this technology can optimize research processes, improve outcomes and solve complex problems in the pharmaceutical sector.

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Available in AI - Artificial Intelligence

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Generative AI in drug Design A

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Revolution in progress The field

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of drug design has always been

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crucial for human health.

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But did you know that its traditional

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method can cost up to $2.6 billion

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for a new drug for decades?

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Developing a drug could take 10 to 15 years,

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requiring intensive experimentation

00:00:26

and clinical trials.

00:00:27

Generative AI is transforming this landscape.

00:00:29

It allows for the prediction of the

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biological activity of molecules with

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over 90% accuracy and has reduced

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the time for molecule design by 70%.

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The result?

00:00:40

A 50% reduction in laboratory

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testing thanks to digital simulation

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and a 40% decrease in the use of

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traditional screening methods,

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researchers can now identify drug

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candidates three times faster.

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And the best part,

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a 30% decrease in failures during

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the clinical phase.

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These advances translate into a 40%

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reduction in preclinical phase costs

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and a 25% acceleration in market launch.

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Potentially,

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this represents a saving of $1

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billion for pharmaceutical companies

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over the lifetime of a drug.

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However, not everything is perfect.

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The initial costs for AI can

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reach $10 million,

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and there's a 5% risk that AI

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might miss certain side effects.

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Generative AI is redefining drug design,

00:01:25

promising a faster and more

00:01:27

economical future.

00:01:28

As AI evolves,

00:01:29

it could further reduce costs

00:01:31

and time frames,

00:01:32

opening new prospects for

00:01:34

the medicine of the future.

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But human vigilance and

00:01:38

oversight remain essential.

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IA generativa no design de fármacos A

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Revolução em curso O campo

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de design de fármacos sempre foi

00:00:11

crucial para a saúde humana.

00:00:13

Mas sabia que o seu tradicional

00:00:16

método pode custar até US$ 2,6 bilhões

00:00:19

para um novo medicamento há décadas?

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O desenvolvimento de um medicamento pode demorar 10 a 15 anos,

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que requerem experimentação intensiva

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e ensaios clínicos.

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A IA generativa está a transformar este cenário.

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Permite a previsão do

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atividade biológica de moléculas com

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mais de 90% de precisão e reduziu

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o tempo de conceção das moléculas é de 70%.

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O resultado?

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Uma redução de 50% no laboratório

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Testes graças à simulação digital

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e uma diminuição de 40% na utilização de

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métodos tradicionais de rastreio,

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Investigadores podem agora identificar fármaco

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candidatos três vezes mais rápidos.

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E a melhor parte,

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uma diminuição de 30% nas falhas durante

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a fase clínica.

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Estes avanços traduzem-se num aumento de 40%

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redução dos custos da fase pré-clínica

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e uma aceleração de 25% no lançamento no mercado.

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Potencialmente,

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Isso representa uma economia de $1

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mil milhões para as empresas farmacêuticas

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ao longo da vida de uma droga.

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No entanto, nem tudo é perfeito.

00:01:15

Os custos iniciais da IA podem

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atingir $10 milhões,

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e há um risco de 5% de que a IA

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pode falhar certos efeitos secundários.

00:01:23

A IA generativa está redefinindo o design de medicamentos,

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prometendo um mais rápido e mais

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futuro económico.

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À medida que a IA evolui,

00:01:29

Poderia reduzir ainda mais os custos

00:01:31

e prazos,

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abrir novas perspetivas para

00:01:34

a medicina do futuro.

00:01:36

Mas a vigilância humana e

00:01:38

a supervisão continua a ser essencial.

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Generative AI Prompts : Harnessing the Power of Models

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History of Generative AI

Let's explore together the captivating evolution of generative AI. From its humble beginnings in the 1950s, through the era of neural networks in the 1980s, the explosion of Big Data at the turn of the millennium, to the rise of GANs and major advancements in the 2020s.

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