This inventor holds 1 USPTO granted patent. 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: Alix Mary Benedicte LaCoste: Advancing Evidence-Based Biomedical Discovery
Introduction
Alix Mary Benedicte LaCoste is an inventor associated with Brooklyn, New York, and BenevolentAI Technology Limited. Her patent work focuses on using computational methods to assess evidence for relationships between biological entities.
Latest Patents
LaCoste is named on one patent, “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 analyzes unstructured and structured data to generate scores, then uses a classifier to predict a ranking that indicates the strength of evidence for the association. The resulting ranking can be provided to a user to support the assessment of potential biological relationships.
Career Highlights
LaCoste’s patent reflects an approach that combines data mining and machine learning to organize evidence from different kinds of biomedical information. By bringing together findings from structured and unstructured datasets, the method aims to help users evaluate associations more systematically. Her listed patent portfolio includes 1 patent.
Collaborations
LaCoste’s listed company affiliation is BenevolentAI Technology Limited. Her named coworkers include Daniel Lawrence Neil and Alexander Degiorgio.
Conclusion
Alix Mary Benedicte LaCoste’s patented work applies computational ranking to biomedical evidence, offering a method for evaluating associations between biological entities.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile