AI in cancer research: statistical applications

AI in cancer research: statistical applications

Urbana, Ill. – Artificial intelligence (AI) tools are quickly becoming ubiquitous for cancer researchers for their ability to efficiently process large quantities of data. This data can include multi-omic sequencing that contains information about the genome,...
New computational models to understand colon cancer

New computational models to understand colon cancer

Saurabh Sinha, CCIL member.  Urbana, Ill. – Although the development of secondary cancerous growths, called metastasis, is the primary cause of death in most cancers, the cellular changes that drive it are poorly understood. In a new study, published in Genome...