This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Benevolentai Technology Limited. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Alexander Degiorgio and Evidence-Based Biomedical Discovery.
Introduction
Alexander Degiorgio is an inventor associated with London, Great Britain, and BenevolentAI Technology Limited. His patent work addresses how medical and scientific information can be analyzed to assess evidence for relationships between biological entities.
Latest Patents
Degiorgio is associated with 1 patent: “Ranking Biological Entity Pairs by Evidence Level.” The invention describes a computer-implemented method for mining medical and scientific datasets to estimate the strength of evidence linking two entities. It analyzes unstructured datasets to produce scores reflecting the extent of an association, and separately analyzes structured datasets to generate additional scores. A classifier combines these scores to predict a ranking, which is presented to a user as an indication of the evidence supporting the association.
Career Highlights
Degiorgio’s listed patent reflects work at the intersection of data mining, classification, and biomedical research. The method is designed to draw on both structured and unstructured information, helping users evaluate potential associations between biological entities.
Collaborations
Degiorgio’s listed coworkers include Daniel Lawrence Neil and Alix Mary Benedicte LaCoste. His company affiliation is BenevolentAI Technology Limited.
Conclusion
Alexander Degiorgio’s patent focuses on ranking evidence for biological associations by combining insights from different types of medical and scientific datasets.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile