Baltimore, MD, United States of America

Elise Ng

This inventor holds 1 USPTO granted patent. Top assignee: Johns Hopkins University. Active years: 2026.


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Innovations in Lyme Disease Diagnosis by Elise Ng

Introduction

Elise Ng is an innovative inventor based in Baltimore, MD (US). She has made significant contributions to the field of medical diagnostics, particularly in the area of Lyme disease. Her work focuses on utilizing advanced technology to improve the accuracy and efficiency of diagnosing this complex illness.

Latest Patents

Elise Ng holds a patent for her groundbreaking work titled "Deep learning Lyme disease diagnosis." This patent presents techniques for diagnosing Lyme disease through the use of digital photography and deep learning convolutional neural networks. The process involves obtaining a digital photo of a skin lesion and providing it to the neural network, which outputs a diagnosis. The network is trained using a diverse corpus of digital training images, including various types of Lyme disease, normal skin, and non-Lyme skin lesions. This innovative approach aims to enhance the diagnostic process and provide timely and accurate results.

Career Highlights

Elise Ng is affiliated with Johns Hopkins University, where she continues to advance her research and development in medical technology. Her work is characterized by a commitment to improving healthcare outcomes through innovative solutions. With her expertise in deep learning and medical diagnostics, she is paving the way for future advancements in the field.

Collaborations

[This section has been skipped due to space constraints.]

Conclusion

Elise Ng's contributions to the field of Lyme disease diagnosis exemplify the power of innovation in healthcare. Her patent and ongoing work at Johns Hopkins University highlight the potential of technology to transform medical diagnostics and improve patient care.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to [email protected]
Loading…