Heidelberg, Germany

Maximilian-Werner Knoll

This inventor holds 1 USPTO granted patent. Top assignee: Universitat Heidelberg. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Maximilian-Werner Knoll. Retrieved from https://idiyas.com/inventor/maximilian-werner-knoll

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: Maximilian-Werner Knoll and Single-Cell Analysis

Introduction

Maximilian-Werner Knoll is an inventor associated with Heidelberg, Germany, and Universität Heidelberg. His work includes a patent application focused on analyzing biological cells to support disease profiling and drug discovery.

Latest Patents

Knoll is associated with 1 patent: “Single-cell morphology analysis for disease profiling and drug discovery.” The invention describes a method for studying how a test substance affects a sample of biological cells. It uses relevant parameters and meta-features to characterize cellular responses, with potential applications in disease profiling and drug discovery.

Career Highlights

Knoll’s listed invention connects single-cell morphology analysis with biomedical research. By examining cellular responses to test substances, the method aims to provide information useful for evaluating compounds and investigating disease-related patterns.

Collaborations

Knoll is listed as a coworker of Jennifer S. Furkel. The available information identifies their professional association but does not specify the details of their collaboration.

Conclusion

Maximilian-Werner Knoll’s patent work at Universität Heidelberg centers on using single-cell analysis to inform disease profiling and drug discovery.

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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