Sharang Phadke

Title: The Innovative Contributions of Sharang Phadke

Introduction

Sharang Phadke is a notable inventor based in Plainsboro, NJ (US). He has made significant contributions to the field of machine learning and clinical data analysis. With a total of 5 patents to his name, Phadke's work is at the intersection of technology and healthcare.

Latest Patents

One of his latest patents is focused on "Machine learning extraction of clinical variable values for subjects from clinical record data." This patent describes techniques that utilize machine learning to automatically extract clinical variable values from clinical records. The methods involve designating certain clinical variables as hybrid variables, which can be assigned values through machine learning model predictions. The system processes clinical record data to obtain predicted values and associated confidence scores, setting the hybrid variable value when the model's prediction is sufficiently confident.

Another significant patent is for "Systems and methods for determining a genomic testing status." This invention outlines a computer-implemented system that identifies patients for clinical trials based on genomic testing status. The system uses machine learning to analyze unstructured information from patient records, determining the likelihood of genomic testing and including patients in trials based on their testing status.

Career Highlights

Sharang Phadke is currently employed at Flatiron Health, Inc., where he continues to innovate in the healthcare technology sector. His work focuses on improving patient outcomes through advanced data analysis techniques.

Collaborations

Phadke collaborates with talented individuals such as Guy Amster and Nisha Singh, contributing to a dynamic work environment that fosters innovation.

Conclusion

Sharang Phadke's contributions to machine learning and clinical data extraction are paving the way for advancements in healthcare technology. His innovative patents reflect a commitment to improving patient care through data-driven solutions.