Cambridgeshire, United Kingdom

Ian Churcher

This inventor holds 1 USPTO granted patent. Top assignee: Benevolentai Technology Limited. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ian Churcher. Retrieved from https://idiyas.com/inventor/ian-churcher-ypcbtkya

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


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Ian Churcher and Evidence-Based Biomedical Discovery.

Introduction

Ian Churcher is an inventor associated with Cambridgeshire, Great Britain, and BenevolentAI Technology Limited. His patent work concerns computational methods for assessing evidence of relationships between biological entities.

Latest Patents

Churcher is associated with 1 patent, titled “Ranking Biological Entity Pairs by Evidence Level.” The invention describes a computer-implemented method for mining medical and scientific datasets to evaluate associations between pairs of entities. It combines scores derived from unstructured and structured data, then uses a classifier to predict a ranking that indicates the strength of evidence for the association.

Career Highlights

Churcher’s listed patent reflects an application of data mining and machine learning to biomedical research. By organizing evidence from different types of datasets into a predicted ranking, the method is designed to help users assess potential relationships between biological entities.

Collaborations

Churcher’s listed coworkers include Daniel Lawrence Neil and Alix Mary Benedicte LaCoste. The patent is associated with BenevolentAI Technology Limited.

Conclusion

Ian Churcher’s patent highlights the use of computational evidence ranking to support the analysis of biomedical associations.

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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