This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Light Ai, Inc.. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Steven Rebiffé: Innovator in Infection Detection Technology
Introduction
Steven Rebiffé is an accomplished inventor based in Richmond, CA. He has made significant contributions to the field of medical technology, particularly in infection detection. His innovative approach combines image data analysis with clinical factors to enhance disease state predictions.
Latest Patents
Rebiffé holds a patent for a method titled "Infection detection using image data analysis." This patent involves determining a disease state prediction related to potential diseases or medical conditions of a subject. The method includes accessing a set of subject images that capture a part of the subject's body, along with clinical factors collected by a device or medical practitioner contemporaneously with the image capture. The subject images are processed through an image data model to generate disease metrics, which are then inputted into a classifier to determine the disease state prediction.
Career Highlights
Rebiffé's career is marked by his dedication to advancing medical technology. He has successfully developed a method that integrates imaging and clinical data, which can significantly improve the accuracy of disease predictions. His work is crucial in the ongoing efforts to enhance patient care and medical diagnostics.
Collaborations
Throughout his career, Steven has collaborated with talented professionals, including Udit Gupta and Sarbjit Sarkaria. These collaborations have contributed to the development and refinement of his innovative technologies.
Conclusion
Steven Rebiffé is a notable inventor whose work in infection detection technology exemplifies the intersection of medical imaging and data analysis. His contributions are paving the way for advancements in disease prediction and patient care.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile