In a recent study published in the journal Nucleic Acids Research, researchers investigate whether machine learning can identify pan-cancer mutational hotspots at persistent CCCTC-binding factor ...

Machine learning (ML) methods can quickly and accurately diagnose mutations in gliomas—primary brain tumors. This is shown by a recent study by Karl Landsteiner University of Health Sciences (KL Krems ...

Loss of a gene known as SYNCRIP in prostate cancer tumors unleashes cellular machinery that creates random mutations throughout the genome that drive resistance to targeted treatments, a team led by ...

Novel blood testing technology that combines genome-wide sequencing of single molecules of DNA shed from tumors and machine learning may allow earlier detection of lung and other cancers. Novel blood ...

Understanding what drives cancer has perplexed scientists for years. However, what is abundantly clear is that mutations in the DNA of cancer cells play a big role in the progression of cancer.

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes-insights that could help doctors ...