Sanjay Purushotham

Title: Innovations by Sanjay Purushotham

Introduction

Sanjay Purushotham is an accomplished inventor based in Los Angeles, CA. He has made significant contributions to the field of healthcare technology, particularly through his innovative patents. With a total of 2 patents, his work focuses on predictive modeling and deep learning applications in healthcare.

Latest Patents

One of his latest patents is titled "System and method for predicting survival time." This invention involves methods, systems, and apparatus that predict an individual patient's survival time. The method includes obtaining clinical data related to the patient's health factors and liquid biopsy data associated with attributes of diseased cells. By utilizing a deep learning model, the method predicts or determines the survival time of the patient and provides this information as an output.

Another notable patent is "Interpretable deep learning framework for mining and predictive modeling of health care data." This method creates an interpretable model for healthcare predictions by training a neural network to predict health information. It involves providing training data that includes various combinations of health metrics and corresponding medical results. The deep learning processor determines prediction data and trains an interpretable machine learning model to make similar predictions.

Career Highlights

Sanjay Purushotham is affiliated with the University of Southern California, where he contributes to research and development in healthcare technology. His work is instrumental in advancing the use of deep learning in medical predictions, which can significantly impact patient care and outcomes.

Collaborations

He collaborates with notable colleagues, including Yan Liu and Zhengping Che, who share his vision for improving healthcare through innovative technology.

Conclusion

Sanjay Purushotham's contributions to healthcare technology through his patents demonstrate his commitment to innovation and improving patient outcomes. His work in predictive modeling and deep learning is paving the way for advancements in medical technology.