Remember how that Google neural net learned to tell the difference between dogs and cats? It's helping catch skin cancer now, thanks to some scientists at Stanford who trained it up and then loosed it ...

Moffitt Cancer Center researchers have developed ALFA-K, a new tool that they say can predict how cancer cells survive and compete. This new algorithm offers a potential roadmap for more effective, ...

In a new UCLA-led study, investigators shed light on the intricate processes underlying cancer evolution and define the optimal algorithms to analyze the genetic makeup of tumors. Understanding the ...

John Osborne, Ph.D., assistant professor of Medicine at the Informatics Institute, recently received a notice of award for a U24 supplement to develop a cancer algorithm predicting the severity of ...

Researchers at the Centre for Genomic Regulation (CRG) have discovered hundreds of potential new cancer driver genes. The findings, published in the journal Nature Communications, significantly ...

The predicted protein structure of FNBP1, one of the potential cancer-driving genes. The study predicts that inclusion of the exon (in yellow) helps cancer cells grow and spread. Researchers at the ...