Artificial intelligence is often employed in the field of cancer genomics, where bits of DNA sequencing data must be identified and further analyzed with statistical, evolutional, and probabilistic models. “Off-the-shelf” computing tools are useful for many cancer researchers, but Mohammed El-Kebir, Illinois CS professor and Cancer Center at Illinois (CCIL) scientist, is taking these AI applications a step further.
