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Chicago, IL, United States of America

Tempus Ai, Inc.

USPTO Granted Patents = 36

EPO Patents = 12

Trademarks = 29

Forward Citations = 12

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101 inventors (with patents filed for the assignee):

Aly Azeem Khan (6 out of 21 patents)

Ameen Salahudeen (5 out of 9 patents)

Jonathan Ozeran (5 out of 16 patents)

4. Eric Lefkofsky (5 out of 14 patents)

5. Catherine Igartua (4 out of 9 patents)

6. Jagadish Venkataraman (4 out of 36 patents)

7. Stephen Yip (3 out of 15 patents)

8. Robert Tell (3 out of 10 patents)

9. John Pfeifer (3 out of 5 patents)

10. Greg Lee (3 out of 7 patents)

11. Nike Beaubier (3 out of 3 patents)

12. Richard Blidner (2 out of 4 patents)

13. Brian M Larsen (2 out of 4 patents)

14. Michelle M Stein (2 out of 3 patents)

15. Madhavi Kannan (2 out of 4 patents)

Core Competencies:

Cardiovascular Disease Detection

Cancer Prediction

RNA Expression Analysis

Histopathology Imaging

Machine Learning

Biomarker Discovery

Clinical Data Extraction

Radiomics

Precision Medicine

Deep Learning

Super-Resolution Imaging

36 patents: Sort by Forward Citations

1. 12738382 - ECG-based cardiovascular disease detection systems and related methods (2026-09-15),

2. 12731659 - Systems and methods for automating RNA expression calls in a cancer prediction pipeline (2026-09-08),

3. 12727863 - Detecting low ejection fraction from electrocardiogram data using artificial intelligence (2026-09-08),

4. 12718910 - Computer system and method for determining candidates for inclusion within a cohort (2026-08-25),

5. 12700508 - Artificial intelligence based cardiac event predictor systems and methods (2026-08-04),

6. 12694302 - Techniques for resolving discordant HER2 status in pathology images for diagnosing breast cancer (2026-07-28),

7. 12688906 - Methods of normalizing and correcting RNA expression data (2026-07-21),

8. 12683008 - Data-based mental disorder research and treatment systems and methods (2026-07-14),

9. 12682613 - Graph based metadata structuring algorithm to enable machine learning (2026-07-14),

10. 12676231 - Artificial intelligence assisted precision medicine enhancements to standardized laboratory diagnostic testing (2026-07-07),

11. 12663414 - Platform for co-culture imaging to characterize in vitro efficacy of heterotypic effector cellular therapies in cancer (2026-06-23),

12. 12618115 - Determination of cytotoxic gene signature and associated systems and methods for response prediction and treatment (2026-05-05),

13. 12603150 - Calculating cell-type RNA profiles for diagnosis and treatment (2026-04-14),

14. 12586391 - Systems and methods for deconvolving cell types in histology slide images, using super-resolution spatial transcriptomics data (2026-03-24),

15. 12584176 - INTEGRATED MACHINE-LEARNING FRAMEWORK TO ESTIMATE HOMOLOGOUS RECOMBINATION DEFICIENCY (2026-03-24),

Company Overview

Tempus Ai, Inc. is a technology company based in Chicago, specializing in the intersection of artificial intelligence and healthcare. The organization focuses on leveraging data analytics and machine learning to enhance clinical decision-making and improve patient outcomes. By integrating genomic data with clinical information, Tempus aims to provide personalized treatment options and advance precision medicine. Their innovative solutions are designed to support healthcare providers in delivering more effective and tailored care to patients.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 20 2026

36 Patents

#133 in Chicago, IL

#530 in Illinois

#9,516 in US

#18,745 in the World

Chicago, IL, United States of America

Tempus Ai, Inc.

Forward Citations = 12

101 inventors:

Aly Azeem Khan (6 out of 21 patents)

Ameen Salahudeen (5 out of 9 patents)

Jonathan Ozeran (5 out of 16 patents)

4. Eric Lefkofsky (5 out of 14 patents)

5. Catherine Igartua (4 out of 9 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Tempus Ai, Inc.. Retrieved from https://idiyas.com/company/tempus-ai

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

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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