Boston, MA, United States of America

Shamira Sridharan Weaver

This inventor holds 1 USPTO granted patent. Top assignee: Pathai, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shamira Sridharan Weaver. Retrieved from https://idiyas.com/inventor/shamira-sridharan-weaver

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovator Spotlight: Shamira Sridharan Weaver

Introduction

Shamira Sridharan Weaver is an accomplished inventor based in Boston, MA (US). She has made significant contributions to the field of machine learning and digital pathology. Her innovative work focuses on enhancing diagnostic assessments through advanced technology.

Latest Patents

Shamira holds a patent for "Systems and methods for machine learning (ML) model diagnostic assessments based on digital pathology data." This patent outlines techniques for performing diagnostic assessments based on digital pathology data. The method involves obtaining first digital pathology data that includes intensity information associated with various regions of interest in a biological sample. It applies machine learning models to identify these regions and patterns, ultimately generating a diagnostic assessment based on the findings.

Career Highlights

Shamira is currently employed at Pathai, Inc., where she continues to develop her expertise in machine learning and digital pathology. Her work is pivotal in advancing the capabilities of diagnostic assessments in the medical field.

Collaborations

Shamira collaborates with Surya Teja Chavali, who is also a talented professional in the field. Their partnership enhances the innovative efforts at Pathai, Inc.

Conclusion

Shamira Sridharan Weaver is a notable inventor whose work in machine learning and digital pathology is shaping the future of diagnostic assessments. Her contributions are invaluable to the medical technology landscape.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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