28.2 Predictive Database for the Prevention of Cardiovascular Complications in Breast Cancer Patients

What:
Student Poster
When:
11:00 AM, Friday 8 Nov 2019 (1 hour 50 minutes)
Where:
Grand Ballroom A/B
Tags:
Health Sciences
Discussion:
0

This study is to determine breast cancer patients’ risk of developing cardiovascular complications from treatment based on the patient’s genome. Using biomarkers, we are developing a predictive database using machine learning that could be used by providers to determine which treatment would be best for the patient.

Participant
The University of Tennessee at Chattanooga

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