Speakers

Ariana Ferdous Rahman

  • Designation: Biological Sciences and researching at the Biodesign Institute in Breast Cancer Recurrence
  • Country: USA
  • Title: Machine Learning Approach to Predict Tumor Recurrence in Breast Cancer Using Multi-Omics Data

Biography

Ariana Rahman is a bangladeshi-american student at Arizona State University. Currently, she is pursuing her degree in Biological Sciences and researching at the Biodesign Institute in Breast Cancer Recurrence. In her free time, she enjoys reading, going on hikes with her family, and playing piano.

Abstract

Globally, breast cancer is the most diagnosed cancer. 5-year survival rate of breast cancer can easily reach 90% if breast cancer is diagnosed early enough. Recurrence in cancer may happen any time after treatment, when undetectable cancer cells proliferate to a point where they can be detected. Almost 30% of patients with breast cancer who are free of disease after initial local and regional treatments present with disease recurrence during follow-up. Risk prediction for tumor recurrence is important for making effective treatment decisions and for the survival outcomes of patients.

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