- Genomic Data-Guided Computational Modeling of Cancer
- Project Year:
2024
- REU Student (s):
Ruth Velasquez | Florida International University FL
- Student 1 Institution:
Florida International University
- Project Mentor:
Subhajyoti De
- Project Mentor Area:
Rutgers Cancer Institute of New Jersey
- Project Abstract:
Cells in the body are continuously multiplying and dying, a process that releases nucleosomal free-floating DNA into the bloodstream. This DNA, originating from various tissues, offers valuable insights into the state and progression of diseases, particularly cancer. By analyzing this circulating DNA, researchers can pinpoint the origin of the DNA and track the evolution of tumors. Our project focuses on leveraging computational algorithms and advanced mathematical techniques to detect and interpret patterns in this free-floating DNA from blood tests. These patterns can provide critical information about the patient's condition, including the emergence of drug resistance. Specifically, we aim to develop a method that not only identifies the presence of drug resistance but also constructs a timeline of its development. Early detection of drug resistance is crucial for timely intervention and effective treatment planning. Through this project, we hope to refine our understanding of the dynamics of drug resistance and improve the precision of personalized medicine. By combining computational tools with biological data, our goal is to enhance the early detection and management of cancer, ultimately contributing to better patient outcomes.
