Boston, MA, United States of America

Marinka Zitnik

This inventor holds 1 USPTO granted patent. Top assignees: Harvard College, Northeastern University, Scipher Medicine Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Marinka Zitnik. Retrieved from https://idiyas.com/inventor/marinka-zitnik

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

Calculating rank

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: Marinka Zitnik and Network Medicine Innovation.

Introduction

Marinka Zitnik is an inventor based in Boston, Massachusetts. His work includes a patented computational framework for identifying potential drug-repurposing opportunities, including treatments for diseases caused by pathogens.

Latest Patents

Zitnik is associated with 1 patent, titled “Network Medicine Framework for Identifying Drug Repurposing Opportunities.” The patent describes methods and systems that combine a protein-protein interaction network with graph neural networks and other computational modules. These components assess relationships between pathogen proteins and drug proteins, estimate proximity between relevant nodes, and generate a ranked list of candidate drugs predicted to be effective against a disease.

Career Highlights

Zitnik’s professional affiliations include Northeastern University and Scipher Medicine Corporation. His patent reflects the application of network medicine and machine learning to drug discovery and repurposing.

Collaborations

His listed coworkers include Deisy Morselli Gysi and Albert-László Barabási. Their shared research context connects computational approaches with the study of biological networks and potential therapeutic applications.

Conclusion

Marinka Zitnik’s patented framework brings together network analysis and machine learning to help identify candidate drugs for diseases, illustrating how computational innovation can support therapeutic research.

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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