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So more broadly the project contributes systemically to a more integrated and technologically advanced healthcare system, establishing a replicable model that promotes equity in access to care, and encourages the adoption of innovative healthcare practices.

Moreover, by designing an infrastructure that facilitates the secure and efficient sharing of healthcare data.

It is adopting sophisticated data analysis techniques and artificial intelligence (AI) to interpret and use large volumes of data more effectively and through that, improve the accuracy of diagnoses and the effectiveness of treatments.

Transcript: Welcome back for part two of our discussion of our pediatric oncology project. This project embodies a proactive approach to research and innovation.

Female scientist using a microscope. Narrator is back on camera explaining. White lights circuit on a black surface. Scientists working on a laboratory. Narrator once more explaining more the topic on camera. Video ends with the scientists working in the laboratory again.

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One of our partners, perhaps unsurprisingly, is involved in cybersecurity. There is a lot of important data that will be shared within the healthcare system about these patients and we want to make sure it's secure.

We will be leveraging technologies like 5G, AI, and big data analytics, in part to forecast disease progression better. One of the partners we are working with is the University of Naples Federico II, specifically their electrical engineering and information technology (IT) department.

So, specifically we are working with young patients, who are undergoing chemotherapy, otherwise known as pediatric oncology – children who have cancer. The idea is to improve patient quality of care and optimize regional healthcare resources.