The paper, which is not peer-reviewed, said that use of the test as a first-step screening tool would require confirmation of more than 80 percent of its results.
The team aims to fully commercialize the 28-biomarker panel for military veterans and civilians who show early symptoms of post-traumatic stress disorder.
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.
Collaborators have created an atlas that compares available PD-L1 IHC assays and reveals areas of debate, including challenges encountered by clinicians.
