AIMI Journal Club: Biologically Informed Deep Neural Network for Prostate Cancer Discovery - Haitham Elmarakeby, PhD

Virtual Event

Stanford community & AIMI affiliates only

Paper:

Elmarakeby, H.A., Hwang, J., Arafeh, R. et al. Biologically informed deep neural network for prostate cancer discovery. Nature (2021). https://doi.org/10.1038/s41586-021-03922-4

About:

Haitham Elmarakeby is an instructor at Dana-Farber Cancer Institute and Harvard Medical School. He is also an affiliate researcher at the Broad Institute of MIT and Harvard. ​​His research is focused on using machine learning to better understand cancer progression and therapeutic resistance in cancer patients. Elmarakeby’s current research focuses on building interpretable models to discover novel markers of clinical and biological outcomes in multiple cancer types including prostate, breast, lung, and melanoma cancers.

Elmarakeby earned a BSc from the Systems and Computer Department at Al-Azhar University in Cairo, Egypt and his MSc from the Computer Engineering Department at Cairo University. He completed his PhD in Computer Science at Virginia Tech, and got his postdoctoral training at Dana-Farber Cancer institute.

Contact Email: 
aimicenter@stanford.edu

More Information: 

Link to paper

This event belongs to the following series

AIMI Journal Club