Distinguishing primary tumors from metastases in lung with AI – Prof. Sabina Berezowska (CHUV/UNIL), Dr. Andrew Janowczyk (pathologist, HUG) and Dr. Claudio De Vito (pathologist, HUG)

Multiple Lung Tumor Nodules: Establishing Cost-Effective Molecular and Digital Pathology Methods to Separate Multiple Primary Lung Cancers from Intrapulmonary Metastases

Analyzing stained tumor biopsies by microscopy is the pathologist’s craft. Now, this can be enhanced and augmented by computer-based analysis and integration with other information.

Using a large data base of tissue sections from primary lung adenocarcinoma, the team will compare these with metastatic nodules in the lung derived from other primary tumors in order to optimize a new digital pathology tool (DPLAS) that will stratify lung cancers and allow patient triaging. A strong feature of the project is that the technology is based on routinely available H&E slides, which enables broad usage of the tool.