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,...
How SNPs can be used to detect disease pathways

How SNPs can be used to detect disease pathways

Researchers at the University of Illinois Urbana-Champaign have developed a new computational tool that can identify pathways related to diseases, including breast and prostate cancer, using single-nucleotide polymorphisms. SNPs, which refer to mutations in a person’s...
AI in Cancer Research: Tumor Phylogenetics

AI in Cancer Research: Tumor Phylogenetics

Image of Mohammed El-Kebir. Urbana, Ill. – 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”...
CCIL Cell Biologist Named University Scholar

CCIL Cell Biologist Named University Scholar

Urbana, Ill. – Supriya G. Prasanth, professor and head of the Department of Cell & Developmental Biology in the School of Molecular & Cellular Biology, has been chosen as a University Scholar. The University Scholars Program, established in 1985, aims to...
AI in Cancer Research: Applications of Computational Genomics

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...