Oxford, United Kingdom

Belen Rial


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Belen Rial: Innovator in Liver Disease Diagnosis

Introduction

Belen Rial is a prominent inventor based in Oxford, GB. She has made significant contributions to the field of medical imaging, particularly in the diagnosis and staging of liver disease. Her innovative work has the potential to improve patient outcomes through advanced diagnostic techniques.

Latest Patents

Belen Rial holds a patent for a groundbreaking invention titled "Multi-parametric magnetic resonance diagnosis and staging of liver disease." This patent describes systems and methods for performing multi-parametric diagnosis for liver disease. The systems can include positioning a subject in association with a medical imaging device and using the device to measure the subject's liver for extracellular fluid and iron content. The methods also involve determining whether iron overload may be indicated from the measurement and correcting the measurement for extracellular fluid if necessary. Additionally, the invention includes measuring the liver for hepatic lipid content and determining the presence or absence of liver disease based on the measurements obtained.

Career Highlights

Belen Rial's career is marked by her dedication to advancing medical technology. Her work at Oxford University Innovation Limited has allowed her to collaborate with leading experts in the field. She has focused on developing innovative solutions that enhance the accuracy of liver disease diagnosis.

Collaborations

Belen has worked alongside notable colleagues such as Rajarshi Banerjee and Stefan Piechnik. Their collaborative efforts have contributed to the development of advanced diagnostic methods that leverage magnetic resonance imaging technology.

Conclusion

Belen Rial's contributions to the field of liver disease diagnosis through her innovative patent demonstrate her commitment to improving medical imaging techniques. Her work has the potential to significantly impact patient care and enhance diagnostic accuracy.

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