NYU

Using deep learning, researchers attempted to classify non-small lung cancer subtypes and predict lung adenocarcinoma mutations from histopathology slides.

The researchers built a combination nucleic acid-antibody test for the disease using an approach they said could be generally useful for rapid test development.

The initiative's four research projects will use use genetic and other technologies to detect and treat cancer at its earliest stages.

Collaborators have created an atlas that compares available PD-L1 IHC assays and reveals areas of debate, including challenges encountered by clinicians.