Cincinnati, OH, United States of America

Mayur Sarangdhar


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Location History:

  • Cincinnatti, OH (US) (2020)
  • Cincinnati, OH (US) (2022)

Company Filing History:


Years Active: 2020-2022

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2 patents (USPTO):Explore Patents

Title: Innovations by Mayur Sarangdhar

Introduction

Mayur Sarangdhar is an accomplished inventor based in Cincinnati, OH. He has made significant contributions to the field of medical technology, particularly in the development of predictive clinical assays and data mining systems for drug and clinical effects.

Latest Patents

Sarangdhar holds two notable patents. The first patent, titled "Predictive clinical assays and methods of using same," discloses methods for treating individuals at risk for negative outcomes associated with treatments for diseases, especially proliferative disorders like cancer. This method involves creating a predictive assay that combines a biomarker and a genetic mutation to assess the likelihood of adverse outcomes from specific treatments. The second patent, "System and method for data mining very large drugs and clinical effects databases," describes a system that enables data-driven hypothesis generation. This system identifies therapeutic candidates for disease phenotype treatments by analyzing drugs and clinical indications linked to lower occurrences of disease-associated phenotypes.

Career Highlights

Mayur Sarangdhar is currently employed at the Children's Hospital Medical Center, where he continues to innovate in the medical field. His work focuses on improving treatment outcomes through advanced predictive methodologies and data analysis.

Collaborations

Sarangdhar collaborates with esteemed colleagues, including Bruce Aronow and Scott Carl Tabar, to further enhance the impact of his research and inventions.

Conclusion

Mayur Sarangdhar's contributions to medical technology through his patents and collaborative efforts highlight his commitment to improving patient outcomes. His innovative approaches in predictive clinical assays and data mining systems are paving the way for advancements in treatment methodologies.

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