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.
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)
The Children's Brain Tumor Network contributed to this project by providing access to the Pediatric Brain Tumor Atlas and clinical data.
PI: Benjamin Hartley
Jeffrey Greenfield, MD, PhD
Dr. Greenfield’s directs multiple research projects pertaining to pediatric brain tumors, in particular, basic research examining the brain tumor microenvironment, tumor immunology, and precision medicine. This research has been externally funded and widely published and he has received national
Weill Cornell Medicine Pediatric Brain & Spine Center