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South San Francisco, CA, United States of America

Insitro, Inc.

USPTO Granted Patents = 25

EPO Patents = 2

Trademarks = 3

Forward Citations = 43

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44 inventors (with patents filed for the assignee):

Jeevaa Velayutham (11 out of 11 patents)

Hervé Marie-Nelly (9 out of 9 patents)

Zachary Phillips (5 out of 5 patents)

4. Shengjiang Tu (5 out of 6 patents)

5. Christopher Probert (5 out of 5 patents)

6. Francesco Paolo Casale (4 out of 4 patents)

7. Daphne Koller (3 out of 8 patents)

8. Michael Bereket (3 out of 3 patents)

9. Matthew Albert (3 out of 3 patents)

10. Max R Salick (3 out of 3 patents)

11. Ci Chu (2 out of 6 patents)

12. Cynthia Hao (2 out of 2 patents)

13. Haoyang Zeng (2 out of 2 patents)

14. Adelaide Woicik (2 out of 2 patents)

15. Zachary R McCaw (2 out of 2 patents)

25 patents: Sort by Forward Citations

1. 12668841 - In situ sequencing of RNA transcripts with non-uniform 5' ends (2026-06-30),

2. 12665048 - Synthon embeddings for modeling DNA-encoded libraries (2026-06-23),

3. 12655420 - Oligonucleotide directed and recorded combinitorial synthesis of encoded probe molecules (2026-06-16),

4. 12541983 - Biological image transformation using machine-learning models (2026-02-03),

5. 12511918 - Biological image transformation using machine-learning models (2025-12-30),

6. 12505549 - Microscopy image analyses for disease modeling (2025-12-23),

7. 12482280 - Biological image transformation using machine-learning models (2025-11-25),

8. 12462386 - Autonomous cell imaging and modeling system (2025-11-04),

9. 12450926 - Machine-learning-enabled imputation of spatial omics data based on histopathology image data (2025-10-21),

10. 12333725 - Systems and methods for determining tissue microarray sampling protocols (2025-06-17),

11. 12332970 - Biological image transformation using machine-learning models (2025-06-17),

12. 12299884 - Machine-learning-enabled predictive biomarker discovery and patient stratification using standard-of-care data (2025-05-13),

13. 12299856 - Systems and methods for artifact detection and removal from image data (2025-05-13),

14. 12277711 - Cellular time-series imaging, modeling, and analysis system (2025-04-14),

15. 12260946 - Discovery platform (2025-03-25),

Insitro is a machine learning-driven drug discovery company aiming to transform the way that drugs are discovered and delivered to patients. By combining cutting-edge biology and data science, Insitro is able to generate and analyze large-scale datasets to identify novel drug targets and rapidly advance drug candidates toward clinical development. The company's innovative approach leverages AI and high-throughput biology to accelerate the drug discovery process and increase the success rate of bringing new medicines to market.

This text is generated by artificial intelligence and may not be accurate.

Company Badge

USPTO Data Jan 1 1976 - Sep 15 2026

25 Patents

#52 in South San Francisco, CA

#3,144 in California

#13,320 in US

#25,614 in the World

South San Francisco, CA, United States of America

Insitro, Inc.

Forward Citations = 43

44 inventors:

Jeevaa Velayutham (11 out of 11 patents)

Hervé Marie-Nelly (9 out of 9 patents)

Zachary Phillips (5 out of 5 patents)

4. Shengjiang Tu (5 out of 6 patents)

5. Christopher Probert (5 out of 5 patents)

Please report any incorrect information to [email protected]

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