Using Computational Homology to Predict Recurrence on Early Breast Cancer Patients
Dr. Javier Arsuaga works in mathematical and computational modeling of chromosomes. In this talk he will mainly focus on our computational efforts to understand chromosome aberrations in cancer. It has been estimated than 1 in 3 people will developed cancer during their life time. One key problem is to identify patients at an early stage of cancer development and with aggressive tumors. He focuses how one can use computational methods to interrogate chromosomes to infer properties of the tumor and will discuss how this can be used for personalized treatments. However these methods are in their infancy and there is an enormous need for new computational tools (data base management, data mining, imaging, etc…) to analyze the data.