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EUVATION: Spotlight on European Innovation

iPC (1) H2020 Project: Individualized Paediatric Cure-what it's all about

EUVATION: Spotlight on European Innovation

Technikon

Tech News, Technology, Science, News

51 Ratings

🗓️ 28 February 2020

⏱️ 17 minutes

🧾️ Download transcript

Summary

In this episode, we talk about the iPC project with project partner Pavel Sumazin from Baylor College of Medicine in the USA. He describes his role and some of the overarching goals of this four year project. From tumour and drug modeling efforts to making sense of multi-disciplinary data, iPC is poised to reduce human suffering and preserve a high quality of life for children suffering with cancer.

The iPC project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 826121

See omnystudio.com/listener for privacy information.

Transcript

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0:00.0

Powerful collaborations, cutting-edge science, and curious minds coming together for a glimpse of the future.

0:11.0

Stay tuned as we look at the latest updates on some of the most promising technology projects.

0:18.0

Hello and welcome. I'm Peter Ballant from Technicon, and today we take a closer look at the

0:25.7

IPC project. IPC stands for individualized pediatric cure. In this European Union-funded

0:33.8

project, doctors, clinicians, oncologists, biomedical engineers, and computer

0:39.8

scientists converge for a noble cause, helping to save the lives of children with cancer.

0:45.7

This is a huge effort involving partners from across the globe.

0:49.3

Today we were lucky enough to speak remotely with Dr. Pavel Sumazen from Baylor College of Medicine.

0:55.4

Baylor is the largest pediatric cancer center in the USA. Dr. Sumazen is a partner among many

1:01.6

in IPC. Let me say welcome and we can start off by jumping into the first and most important

1:08.1

question. What is IPC trying to accomplish?

1:12.0

So the intent behind the IPC is to get us to the point, get us at least closer to the goal,

1:21.4

that we are able to model diseases and patients, and to use these models to improve the quality of treatment and to reduce

1:32.3

toxicity. What makes us special is that we are trying to put computational sort of know-how

1:41.3

together with a large collection of molecular data from multiple types of pediatric

1:49.0

cancers. So that essentially, based on some tests that a physician would do or a hospital

1:57.0

would do, we would be able to predict which drugs or which treatments are more likely to

2:04.6

succeed and more likely to have less long-term effects.

2:09.6

And pediatric cancer, one of the big problems is that often when treatment succeeds, we measure

2:16.6

success based on the survival of the patient.

2:19.3

Cancer has a high mortality rate.

2:23.3

So our goal is to keep the patients alive.

...

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