Researchers have developed a deep neural network to classify lung cancer subtypes on histopathology slides and found that it performed on par with three practicing pathologists. The study demonstrates ...

Colour-coded histologic patterns identified by pathologists (left) and the researchers' deep-learning model (right). (Courtesy: Hassanpour Lab, Dartmouth's Norris Cotton Cancer Center) Members of the ...

NantHealth and NantOmics Reveal a Novel AI Based Machine-Learning Digital Pathology Software for Lung Cancer by Identifying Tumor Infiltrating Killer Cells From Whole Slide Images ...

Embedded in a lung cancer tumor, scientists have found a gastrointestinal tract in miniature. Duke University researchers have observed rudimentary, but functional, stomachs, small intestines, and ...

Analysis of gene expression patterns in normal tissues and their perturbations in tumours can help to identify the functional roles of oncogenes or tumour suppressors and identify potential new ...

Using recent advances in machine learning, a Dartmouth research team has developed a deep neural network to classify different types of a common form of lung cancer on histopathology slides at an ...

Using recent advances in machine learning, a Dartmouth research team has developed a deep neural network to classify different types of a common form of lung cancer on histopathology slides at an ...