New York, NY, United States of America

Sankeerth Garapati


Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Sankeerth Garapati: Innovator in Medical Data Extraction

Introduction

Sankeerth Garapati is an accomplished inventor based in New York, NY (US). He has made significant contributions to the field of medical technology through his innovative patent. His work focuses on improving the extraction of patient information, which is crucial for enhancing healthcare outcomes.

Latest Patents

Sankeerth holds a patent titled "Systems and methods for extracting dates associated with a patient condition." This invention describes a model-assisted system designed to extract vital patient information from medical records. The system utilizes a processor programmed to access a database of medical records and employs machine learning models to determine whether a patient is associated with a specific condition. Additionally, it identifies relevant dates and generates outputs that indicate the patient's condition in relation to those dates. This patent represents a significant advancement in the use of technology to streamline patient data management.

Career Highlights

Sankeerth Garapati is currently employed at Flatiron Health, Inc., a company known for its focus on transforming cancer care through data and technology. His role at Flatiron Health allows him to apply his innovative ideas in a practical setting, contributing to the improvement of healthcare services.

Collaborations

Sankeerth collaborates with talented professionals in his field, including colleagues such as James Gippetti and Sharang Phadke. These collaborations foster an environment of innovation and creativity, leading to the development of groundbreaking solutions in medical technology.

Conclusion

Sankeerth Garapati is a notable inventor whose work in medical data extraction is paving the way for advancements in healthcare technology. His contributions are essential for improving patient care and enhancing the efficiency of medical data management.

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