Boston, MA, United States of America

Dinkar Juyal

USPTO Granted Patents = 1 

Average Co-Inventor Count = 19.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Dinkar Juyal: Innovator in Liver Pathology Assessment

Introduction

Dinkar Juyal is an accomplished inventor based in Boston, MA, whose contributions to the field of medical technology are noteworthy. With a focus on leveraging deep learning to advance liver pathology assessment, Juyal has made significant strides towards improving diagnosis and treatment in healthcare.

Latest Patents

Juyal holds a patent titled "Systems and methods for assessing liver pathology." This innovative patent describes a method for training a deep learning model that assesses liver pathology, utilizing annotated liver pathology images from patients involved in randomized controlled clinical trials of nonalcoholic steatohepatitis therapy. The deep learning model is trained to predict tissue characteristic categories such as steatosis, lobular inflammation, hepatocyte ballooning, and fibrosis stage, based on the annotated images.

Career Highlights

Dinkar Juyal is currently associated with Pathai, Inc., a company that focuses on advancing medical technologies through innovative solutions. His work within the company emphasizes the integration of artificial intelligence and machine learning into the healthcare sector, particularly in the area of liver disease assessment.

Collaborations

Throughout his career, Juyal has collaborated with various professionals, including Amaro N Taylor-Weiner, enhancing the impact and reach of his innovations. Such partnerships have allowed for a more comprehensive approach to developing advanced diagnostic tools and methodologies in the field of pathology.

Conclusion

Dinkar Juyal’s work in the realm of liver pathology assessment through innovative patent solutions demonstrates the power of artificial intelligence in medicine. His contributions continue to pave the way for advancements in diagnostic accuracy, ultimately benefiting patient care and treatment outcomes in liver diseases.

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