Zeroing in on Text Understanding for Automated Cancer Report Classification

Novel deep learning approach helps to create more accurate representations of pathology reports

Science

Zeroing in on Text Understanding for Automated Cancer Report Classification

In 2012 approximately 14 million new cases of cancer were reported worldwide, and the National Cancer Institute (NCI) predicts that number will rise to 22 million by 2032. With each additional case comes new pathology reports—documents that describe details such as cancer location and cancer grade, the tissue organization that…

Rachel McDowellMarch 26, 2018

Science

Accelerating Cancer Research with Deep Learning

Using the Titan supercomputer, a team at Oak Ridge National Laboratory is developing automated data tools for cancer research by employing deep learning techniques.

Jonathan HinesNovember 8, 2016

People

Say Hello to Bio

The Bio-IT conference, which took place from April 29 to May 1, hosted more than 2,500 participants from the life sciences, healthcare, pharmaceutical, and IT industries representing more than 30 countries.

Scott JonesJune 2, 2014

healthcare