Relationships Between Genomic, Imaging, and Histopathologic Characteristics in Pediatric Brain Tumors

Ongoing
Data
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CBTN Data Used

About this

Project

We wish to analyze genetic sequences of samples of different families of pediatric brain tumors, and thereafter perform machine learning-based natural language processing algorithms on text-based clinical data from the same specimens.

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Scientists

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What are the goals of this project?

We will examine any correlations between the text-based and genomic data.

What is the impact of this project?

The results of this project aim to improve diagnostic accuracy and implications of genomic, imaging, and histopathologic data

Why the CBTN request is important to this project?

The CBTN would be the source of the genomic data, as well as the matching clinical data (radiology and/or histopathology reports)

Specimen Data

The Children's Brain Tumor Network contributed to this project by providing access to the Pediatric Brain Tumor Atlas and clinical data.

Explore the data in these informatics portals

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