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For the Inventor, By the Inventor

Bengaluru, India

Prateek Jain

This inventor holds 20 USPTO granted patents and 19 published patent applications, primarily in Slide Imaging Technology. Top assignees: Pramana Inc., Microsoft Technology Licensing, LLC, Google Inc.. Active years: 2019-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Prateek Jain. Retrieved from https://idiyas.com/inventor/prateek-jain

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

Calculating rank
USPTO Granted Patents = 20 

% Patents Active = 90.0

Average Co-Inventor Count = 6.2

ph-index = 2

Forward Citations = 50(Granted Patents)


Location History:

  • Bengaluru, IN (2019 - 2024)
  • Karnataka, IN (2019 - 2024)

Company Filing History:

goldMedal12 out of 48 
 
Pramana Inc.
 patents
silverMedal7 out of 56,318 
 
Microsoft Technology Licensing, LLC
 patents
bronzeMedal1 out of 34,018 
 
Google Inc.
 patents

Years Active: 2019-2026

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Areas of Expertise:
Slide Imaging
Machine Learning
Digitization
Quality Control
Visualization
Data Acquisition
Privacy Enhancement
Augmented Visualization
Color Gamut Normalization
Pathology Slides
Recommendation System
Homomorphic Encryption
20 patents (USPTO):Explore Patents
1. 12689822 - System and methods for slide imaging (2026-07-21),
2. 12602613 - Privacy-enhanced training and deployment of machine learning models using client-side and server-side data (2026-04-14),
3. 12573194 - Systems and methods for augmented visualization using activity windows (2026-03-10),
4. 12561151 - Modular data acquisition and analysis system and methods thereof (2026-02-24),
5. 12548157 - Systems and methods for inline quality control of slide digitization (2026-02-10),
6. 12277706 - System and method for visualization of digitized slides (2025-04-14),
7. 12217856 - Apparatus and method for identifying regions of interest during slide digitization (2025-02-04),
8. 12217837 - Systems and methods for digitization of tissue slides based on associations among serial sections (2025-02-04),
9. 12159329 - System and methods for color gamut normalization for pathology slides (2024-12-03),
10. 12087432 - Apparatus and method for visualization of digitized glass slides belonging to a patient case (2024-09-10),
11. 12075155 - System and methods for slide imaging (2024-08-27),
12. 11997240 - Method and an apparatus for inline image scan enrichment (2024-05-28),
13. 11978185 - System and methods for color gamut normalization for pathology slides (2024-05-07),
14. 11886971 - Multiple-entity-based recommendation system (2024-01-30),
15. 11210327 - Syntactic profiling of alphanumeric strings (2021-12-28),

Title: Prateek Jain - Innovator from Bengaluru

Introduction: Prateek Jain is a renowned inventor based in Bengaluru, India, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Prateek Jain holds several patents in the areas of artificial intelligence, machine learning, and renewable energy technologies, showcasing his versatility and forward-thinking approach to problem-solving.

Career Highlights: With a background in computer science and engineering, Prateek Jain has worked with leading tech companies in India and abroad, where he has spearheaded projects that have revolutionized the industry.

Collaborations: Prateek Jain has collaborated with top research institutions and universities worldwide to further his research and bring his innovative ideas to life. His partnerships have led to the development of cutting-edge technologies that have had a significant impact on various sectors.

Conclusion: Prateek Jain's passion for innovation and his dedication to pushing the boundaries of technology make him a standout figure in the world of inventors. His work continues to inspire the next generation of innovators and shape the future of technology.

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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