Abstract: Systems and methods relating to a cell-based pattern recognition tool for microscopy images from tissue sections are described, wherein cell features are extracted and a classifier is built in accordance with a particular application using an interactive training tied to a computerized platform, the result is an application-specific classifier that further processes images in accordance with the specific application, thereby tuning an automated process for cell based pattern recognition.

Abstract: The present invention provides diagnostic methods for predicting the effectiveness of treatment of a cancer patient with an EGFR kinase inhibitor. These methods are based on the surprising discovery that the effectiveness of treatment with an EGFR kinase inhibitor is predicted by whether a patient's tumor cells express a high or a low level of the biomarkers vimentin and E-cadherin, such that patients whose tumors express a high level of at least one of the biomarkers vimentin and E-cadherin have a longer overall survival and progression free survival than patients whose tumors express a low level of both vimentin and E-cadherin.