Skip to main content
Premium Trial:

Request an Annual Quote

Robotic Eyes Spot Cancer


New software developed by researchers at Stanford University shows computers may be better than humans at diagnosing cancer, reports Popular Science's Rebecca Boyle. The system, called C-Path for Computational Pathologist, automatically evaluates microscopic images of breast cancer to determine its type and make a prognosis, Boyle says. And as the researchers found in their new study published in Science Translational Medicine, the algorithm is more accurate than a human doctor could be. C-Path "can classify the types of cancer cells present, and even identified a new set of features that are associated with a poor chance of survival," Boyle says. The researchers developed C-Path using existing tissue samples, and then human pathologists taught it to distinguish stromal and epithelial cells. When the researchers checked the machine's accuracy against a set of validation samples, "its results were a statistically significant improvement over human-based examination," Boyle adds. "C-Path even figured out something pathologists haven't — that the characteristics of the cancer cells and the surrounding cells were both important in determining a patient's outcome."

The Scan

Researchers Compare WGS, Exome Sequencing-Based Mendelian Disease Diagnosis

Investigators find a diagnostic edge for whole-genome sequencing, while highlighting the cost advantages and improving diagnostic rate of exome sequencing in EJHG.

Researchers Retrace Key Mutations in Reassorted H1N1 Swine Flu Virus With Avian-Like Features

Mutations in the acidic polymerase-coding gene boost the pathogenicity and transmissibility of Eurasian avian-like H1N1 swine influenza viruses, a PNAS paper finds.

Genome Sequences Reveal Evolutionary History of South America's Canids

An analysis in PNAS of South American canid species' genomes offers a look at their evolutionary history, as well as their relationships and adaptations.

Lung Cancer Response to Checkpoint Inhibitors Reflected in Circulating Tumor DNA

In non-small cell lung cancer patients, researchers find in JCO Precision Oncology that survival benefits after immune checkpoint blockade coincide with a dip in ctDNA levels.