Reheman Baikejiang

Title: Reheman Baikejiang and Machine Learning in Digital Pathology.

Introduction

Reheman Baikejiang is an inventor based in South San Francisco, California. His patent work includes an approach to assessing tissue samples by analyzing patterns in digital pathology images with machine-learning techniques. The supplied information lists 1 patent and identifies Genentech, Inc. as his company.

Latest Patents

Baikejiang’s listed patent, “Assessing Heterogeneity of Features in Digital Pathology Images Using Machine Learning Techniques,” describes a method for evaluating tissue samples. The method divides a digital pathology image into patches, identifies image features in each patch, and uses a machine-learning model to generate labels for those features. It then uses the labels to determine a heterogeneity metric and produce an assessment of the tissue sample.

Career Highlights

The patent reflects work at the intersection of machine learning and digital pathology. By organizing image features across multiple patches, the described method aims to quantify variation within a tissue sample and use that measurement in an assessment.

Collaborations

The supplied information identifies Cleopatra Kozlowski as Baikejiang’s coworker at Genentech, Inc. No further details about their collaboration are provided.

Conclusion

Reheman Baikejiang’s listed invention applies machine learning to digital pathology images to measure tissue heterogeneity and support tissue-sample assessment.