Hailey B Lefkofsky

This inventor holds 13 USPTO granted patents and 7 published patent applications and 1 EPO patent. Top assignees: Tempus Labs, Inc., Tempus Ai, Inc.. Active years: 2021-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hailey B Lefkofsky. Retrieved from https://idiyas.com/inventor/hailey-b-lefkofsky

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

USPTO Granted Patents = 13 (Patent Applications = 7)

% Patents Active = 100.0

EPO Patents = 1 (Patent Applications = 3)

Average Co-Inventor Count = 4.1

ph-index = 4

Forward Citations = 45(Granted Patents)

Company Filing History:

Years Active: 2021-2026

Loading Chart...

13 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12683008 - Data-based mental disorder research and treatment systems and methods (2026-07-14),

2. 12112839 - Data based cancer research and treatment systems and methods (2024-10-08),

3. 11875903 - Method and process for predicting and analyzing patient cohort response, progression, and survival (2024-01-16),

4. 11830587 - Method and process for predicting and analyzing patient cohort response, progression, and survival (2023-11-28),

5. 11769572 - Method and process for predicting and analyzing patient cohort response, progression, and survival (2023-09-26),

6. 11705226 - Data based cancer research and treatment systems and methods (2023-07-18),

7. 11699507 - Method and process for predicting and analyzing patient cohort response, progression, and survival (2023-07-11),

8. 11682481 - Data-based mental disorder research and treatment systems and methods (2023-06-20),

9. 11640859 - Data based cancer research and treatment systems and methods (2023-05-02),

10. 11367508 - Systems and methods for detecting cellular pathway dysregulation in cancer specimens (2022-06-21),

11. 11309090 - Method and process for predicting and analyzing patient cohort response, progression, and survival (2022-04-19),

12. 11037685 - Method and process for predicting and analyzing patient cohort response, progression, and survival (2021-06-15),

13. 10978196 - Data-based mental disorder research and treatment systems and methods (2021-04-13),

Title: Hailey B Lefkofsky: Innovator in Patient Data Analysis

Introduction

Hailey B Lefkofsky is a prominent inventor based in Chicago, IL, known for her significant contributions to the field of patient data analysis. With a total of 11 patents to her name, she has made remarkable strides in developing innovative methods that enhance the understanding of patient responses to treatments.

Latest Patents

One of her latest patents is titled "Method and process for predicting and analyzing patient cohort response, progression, and survival." This invention involves a system and method for analyzing a data store of de-identified patient data. It generates dynamic user interfaces that predict the expected response of a particular patient population when provided with specific treatments. The automated analysis of patterns in clinical, molecular, phenotypic, and response data allows clinicians to evaluate large datasets efficiently. This innovation aids in the potential discovery of insights that hold therapeutic significance.

Career Highlights

Hailey is currently employed at Tempus Labs, Inc., where she continues to push the boundaries of medical data analysis. Her work focuses on creating tools that empower healthcare professionals to make informed decisions based on comprehensive data evaluations.

Collaborations

Throughout her career, Hailey has collaborated with notable colleagues, including Ashraf Hafez and Julian Habib. These partnerships have further enriched her research and development efforts in the healthcare technology sector.

Conclusion

Hailey B Lefkofsky stands out as an influential inventor in the realm of patient data analysis. Her innovative patents and contributions to Tempus Labs, Inc. reflect her commitment to improving healthcare outcomes through technology.

Profile summary based on public USPTO records.