Yerevan, Armenia

Boris Shpak

This inventor holds 1 USPTO granted patent and 5 published patent applications and 2 EPO patents. Top assignee: Bostongene Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Boris Shpak. Retrieved from https://idiyas.com/inventor/boris-shpak-2i6zg9i8

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

Calculating rank
USPTO Granted Patents = 1 

 

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: Boris Shpak - Innovator in Machine Learning and Cancer Research

Introduction: Boris Shpak is an inventor based in Yerevan, Armenia. He is currently associated with Bostongene Corporation, where he focuses on advancements in machine learning and cancer research. Despite having no granted patents, his contributions to the field are noteworthy.

Latest Patent Applications: Boris Shpak has filed several significant patent applications. One of his latest applications is titled "Machine Learning Model Trained Using Artificial Cell-Free RNA (cfRNA) Expression Data." This application describes a method for using a trained machine learning model to predict characteristics of a subject by processing cfRNA expression data. The model was trained using artificial cfRNA expression data, which includes various artificial cfRNA expression profiles generated from healthy and tumor expression profile components. Another notable application is "Comprehensive Immunoprofiling of Peripheral Blood." This application outlines methods and systems for characterizing cancer subjects based on the analysis of leukocyte populations in their peripheral blood, which can help determine prognosis and response to immunotherapy.

Conclusion: Boris Shpak is making strides in the fields of machine learning and cancer research through his innovative patent applications. His work at Bostongene Corporation reflects a commitment to advancing medical technology and improving patient outcomes.

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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