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 ...

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 ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

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 ...

What if doctors could look at a person’s DNA and not only spot a harmful mutation, but also predict the kind of disease it may cause—before symptoms fully appear? Scientists at the Icahn School of ...