Dinesh Maheshwari

Title: Dinesh Maheshwari and Healthcare Record Analysis

Introduction

Dinesh Maheshwari is an inventor associated with Georgetown University and based in Mountain View, California. His patent work addresses the use of deep learning and healthcare data to support treatment recommendations.

Latest Patents

Maheshwari is named on one patent, titled “System for Providing Validation of Deep Learning Based Prescription Efficacy.” The invention describes a method for combining healthcare records from multiple locations while removing personally identifiable information. Each anonymized record is converted into an embedding and tagged with a site locator that identifies its source. Embeddings from participating sites are merged into a database, which is used to train a classifier to predict likely outcomes. For a new patient, the system searches for a similar patient record and uses the classifier’s prediction to inform a treatment recommendation. Maheshwari’s listed portfolio includes 1 patent.

Career Highlights

Maheshwari’s listed invention focuses on applying machine learning to healthcare records while protecting patient identity. The approach is designed to draw on data from multiple locations to help assess potential treatment outcomes.

Collaborations

The patent lists Ophir Frieder as Maheshwari’s coworker. The invention’s multi-site approach brings together processed healthcare data from different locations.

Conclusion

Dinesh Maheshwari’s patent work combines anonymized healthcare records, machine-learning analysis, and treatment recommendations in a system intended to support prescription efficacy assessment.