This inventor holds 4 USPTO granted patents and 3 published patent applications and 1 EPO patent. Top assignees: Cedars-Sinai Medical Center, Johns Hopkins University, Abbott Laboratories Corporation. Active years: 2019-2024.
Company Filing History:
4 out of 627 
3 out of 3,795 
1 out of 4,186 
Years Active: 2019-2024
Title: Innovations by Inventor Vidya Venkatraman
Introduction
Vidya Venkatraman is a notable inventor based in Los Angeles, CA, who has made significant contributions to the field of medical diagnostics. With a total of four patents to his name, his work focuses on identifying biomarkers for chronic diseases and traumatic injuries.
Latest Patents
One of his latest patents is titled "Prognosis and progression biomarkers for chronic kidney disease." This patent describes methods for the identification and discovery of protein biomarkers that can be used to diagnose, prognose, and predict the progression of chronic kidney disease (CKD). Another significant patent is "Biomarkers and methods for diagnosing and evaluating traumatic brain injury." This patent outlines methods for diagnosing and evaluating individuals who may have sustained a head injury, such as a traumatic brain injury (TBI). It identifies various biomarkers that can be detected to assess the presence or absence of TBI, serving as a crucial tool for diagnosis and risk stratification.
Career Highlights
Throughout his career, Vidya has worked with prestigious institutions, including Cedars-Sinai Medical Center and The Johns Hopkins University. His experience in these organizations has allowed him to collaborate with leading experts in the field and contribute to groundbreaking research.
Collaborations
Some of his notable coworkers include Jennifer E Van Eyk and Qin Fu, who have also made significant contributions to the field of medical research.
Conclusion
Vidya Venkatraman's innovative work in identifying biomarkers for chronic kidney disease and traumatic brain injury showcases his dedication to advancing medical diagnostics. His contributions are vital in improving patient outcomes and understanding complex health conditions.