Etienne Decencière

Title: Etienne Decencière: Computational Analysis of Breast Tumors

Introduction

Etienne Decencière is an inventor based in Avon, France, whose work includes applying computational methods to biological images. His patent focuses on using digitized tissue slides to help predict genomic features of breast tumors.

Latest Patents

Decencière is associated with 1 patent: “Prediction of BRCAness/Homologous Recombination Deficiency of Breast Tumors on Digitalized Slides.” The application describes computer-implemented methods for classifying biological images and predicting genomic signatures, particularly homologous recombination DNA-repair deficiency (HRD). It also proposes visualizing clusters of image tiles to identify phenotypic features or patterns associated with a genomic signature.

Career Highlights

The information provided associates Decencière with Institut Curie and the French National Institute of Health and Medical Research (Inserm). His patent reflects research at the intersection of computational image analysis, tumor biology, and genomic prediction.

Collaborations

His listed collaborators include Anne Vincent-Salomon and Thomas Walter. Their work is connected to the patent’s approach to analyzing breast-tumor images and identifying patterns relevant to genomic characteristics.

Conclusion

Etienne Decencière’s patent presents a computational approach to extracting genomic insights from digitized breast-tumor slides, linking image analysis with the prediction of HRD-related features.