Pune, India

Anurag Palkar

This inventor holds 1 USPTO granted patent. Top assignee: Lunglife AI, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Anurag Palkar. Retrieved from https://idiyas.com/inventor/anurag-palkar

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Anurag Palkar and Machine-Learning-Assisted FISH Analysis

Introduction

Anurag Palkar is an inventor based in Pune, India, whose patent work focuses on applying machine learning to microscopic blood-cell image analysis. His listed patent is associated with Lunglife AI, Inc.

Latest Patents

Palkar is named on one patent, 1 patent: “Systems and Methods for Designing Accurate Fluorescence In-Situ Hybridization Probe Detection on Microscopic Blood Cell Images Using Machine Learning.”

The patent describes processor-executable instructions for analyzing sets of images of a sample treated with fluorescence in situ hybridization (FISH) probes. Images in each set are captured at different focal lengths, and the probes can selectively bind to distinct locations on chromosomal DNA. The system identifies cell nuclei and applies a convolutional neural network to determine probe indications across the images. It can then identify whether the sample contains circulating tumor cells.

Career Highlights

The available information highlights Palkar’s contribution to a patent combining microscopy, FISH probe detection, and convolutional neural networks. The approach is designed to support accurate analysis of blood-cell images and the identification of circulating tumor cells.

Collaborations

Palkar’s listed coworkers include Shahram Tahvilian and Lara Baden. The patent is associated with Lunglife AI, Inc.

Conclusion

Anurag Palkar’s patent work brings machine-learning image analysis to FISH-based detection, with a focus on identifying circulating tumor cells in microscopic blood-cell images.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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