Boston, MA, United States of America

Elizabeth Asai

This inventor holds 2 USPTO granted patents and 1 published patent application and 1 EPO patent. Top assignee: Digital Diagnostics Inc.. Active years: 2024-2025.

USPTO Granted Patents = 2 

% Patents Active = 100.0

 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Innovations by Elizabeth Asai

Introduction

Elizabeth Asai is an accomplished inventor based in Boston, MA. She has made significant contributions to the field of machine learning and diagnostics, particularly in relation to skin tone analysis. With a total of 2 patents, her work is paving the way for more accurate and personalized medical diagnoses.

Latest Patents

One of Elizabeth's latest patents involves using a set of machine learning diagnostic models to determine a diagnosis based on a patient's skin tone. The system she developed receives a base skin tone image of a patient and generates a calibrated base skin tone image using a reference calibration profile. It then determines the base skin tone of the patient based on this calibrated image. Additionally, the system receives a concern image of a portion of the patient's skin and selects a set of machine learning diagnostic models tailored to the patient's skin tone. Each of these models is trained to analyze the concern image and output a diagnosis of the patient's condition.

Career Highlights

Elizabeth works at Digital Diagnostics Inc., where she applies her expertise in machine learning to improve diagnostic processes. Her innovative approach has garnered attention in the medical technology field, showcasing her commitment to enhancing patient care through technology.

Collaborations

Elizabeth collaborates with talented individuals such as Elliot Swart and Elektra Efstratiou Alivisatos. Together, they contribute to advancing the capabilities of diagnostic systems in healthcare.

Conclusion

Elizabeth Asai's work exemplifies the intersection of technology and healthcare, demonstrating how innovations can lead to improved diagnostic methods. Her contributions are vital in creating a more inclusive and effective healthcare system.

Profile summary based on public USPTO records.
Please report any incorrect information to [email protected]
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