Arpit Aggarwal

Title: Arpit Aggarwal: Applying Machine Learning to Ovarian Cancer Prognosis

Introduction

Arpit Aggarwal is an inventor based in Cleveland, Ohio, and is affiliated with Case Western Reserve University. His work includes research on using collagen fiber architecture and machine learning to help assess prognosis for patients with epithelial ovarian cancer.

Latest Patents

Aggarwal is associated with one patent, titled “Biomarkers of Collagen Fiber Architecture in Epithelial Ovarian Cancer (EOC) Patients.” The disclosed method measures collagen fiber orientation disorder in a digitized pathology image from a patient with current or previous EOC. It then generates features from those measurements and applies a machine learning model to determine a prognosis. This approach explores how tissue structure may provide information relevant to cancer outcome assessment.

Career Highlights

Aggarwal’s patent work connects computational analysis of pathology images with cancer research. The disclosed method focuses on extracting measurable features from collagen fiber patterns and using them in a machine learning model. He is affiliated with Case Western Reserve University.

Collaborations

The provided information identifies Haojia Li and Anant Madabhushi as Aggarwal’s coworkers. Their names are associated with the research context surrounding the patent.

Conclusion

Arpit Aggarwal’s patent work highlights a computational approach to studying collagen architecture in ovarian cancer pathology, with the aim of supporting prognosis assessment through image analysis and machine learning.