Atlanta, GA, United States of America

Saumya Gurbani


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Saumya Gurbani: Innovator in Magnetic Resonance Spectroscopy

Introduction

Saumya Gurbani is an accomplished inventor based in Atlanta, GA (US). She has made significant contributions to the field of magnetic resonance spectroscopy through her innovative patent. Her work focuses on enhancing the accuracy and speed of metabolite measurements, which is crucial for various medical applications.

Latest Patents

Saumya Gurbani holds a patent titled "Systems and methods for rapidly determining one or more metabolite measurements from MR spectroscopy data." This patent describes a parallelized deep learning approach to spectral fitting for magnetic resonance spectroscopy data. The method enables accurate and rapid spectral fitting and determination of metabolite measurements using a conventional computer. It involves processing multi-spectra magnetic resonance (MR) spectroscopy data through a series of neural networks. The process includes determining baseline components of each spectrum, generating baseline-corrected components, and determining peak components to derive metabolite measurements in the region of interest.

Career Highlights

Throughout her career, Saumya has worked with prestigious institutions such as Emory University and the University of Miami. Her experience in these organizations has allowed her to collaborate with leading experts in the field and contribute to groundbreaking research.

Collaborations

Saumya has collaborated with notable colleagues, including Hyunsuk Shim and Lee Cooper. These partnerships have further enriched her research and innovation in the field of magnetic resonance spectroscopy.

Conclusion

Saumya Gurbani is a pioneering inventor whose work in magnetic resonance spectroscopy is paving the way for advancements in metabolite measurement techniques. Her contributions are vital for improving diagnostic capabilities in medical science.

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