Menlo Park, CA, United States of America

Kevin Loewke

This inventor holds 1 USPTO granted patent and 5 published patent applications and 1 EPO patent. Top assignee: Alife Health Inc.. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kevin Loewke. Retrieved from https://idiyas.com/inventor/kevin-loewke-omgr8vw0

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

 

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Kevin Loewke: Innovator in Machine Learning for Ovarian Stimulation

Introduction

Kevin Loewke is a notable inventor based in Menlo Park, California. He has made significant contributions to the field of reproductive health through his innovative work in machine learning. His research focuses on optimizing ovarian stimulation processes, which can greatly enhance patient outcomes.

Latest Patents

Kevin Loewke holds a patent for a groundbreaking system titled "Machine learning for optimizing ovarian stimulation." This patent describes systems and methods for implementing machine-learning models to improve ovarian stimulation. The computer-implemented method involves receiving patient-specific data and predicting egg outcomes for various treatment options based on predictive models trained with prior patient data. This innovative approach aims to personalize and enhance the ovarian stimulation process for patients.

Career Highlights

Throughout his career, Kevin has worked with several prominent companies, including Alife Health Inc. and Ares Trading S.A. His experience in these organizations has allowed him to apply his expertise in machine learning and reproductive health, contributing to advancements in the field.

Collaborations

Kevin has collaborated with talented individuals such as Paxton H Maeder-York and Melissa Teran. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.

Conclusion

Kevin Loewke's work in machine learning for ovarian stimulation represents a significant advancement in reproductive health technology. His innovative approach has the potential to improve patient outcomes and personalize treatment options.

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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