Yonkers, NY, United States of America

Valentina Bayer Zubek

USPTO Granted Patents = 1 

 

 

Average Co-Inventor Count = 10.0

ph-index = 1

Forward Citations = 11(Granted Patents)


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: Valentina Bayer Zubek: Innovator in Prostate Cancer Evaluation

Introduction

Valentina Bayer Zubek is a notable inventor based in Yonkers, NY (US). She has made significant contributions to the field of medical technology, particularly in the evaluation of prostate cancer. Her innovative approach combines clinical, molecular, and morphometric information to enhance predictive models for medical conditions.

Latest Patents

Valentina holds a patent for a "System for evaluating a pathological stage of prostate cancer." This patent utilizes clinical information, molecular data, and computer-generated morphometric information to predict the likelihood of a patient having a favorable pathological stage of prostate cancer. The model incorporates various features, including preoperative PSA levels, Gleason Score, and measurements of androgen receptor expression. Additionally, it employs morphometric measurements to assess the distribution of epithelial nuclei, providing a comprehensive evaluation of the patient's condition.

Career Highlights

Valentina Bayer Zubek has established herself as a leading figure in her field. Her work at the Fundacao D. Anna Sommer Champalimaud E Dr. Carlos Montez Champalimaud has allowed her to collaborate with other experts and contribute to groundbreaking research in cancer evaluation.

Collaborations

Some of her notable coworkers include Michael Donovan and Faisal Khan. Their collaborative efforts have further advanced the research and development of innovative solutions in the medical field.

Conclusion

Valentina Bayer Zubek's contributions to the evaluation of prostate cancer through her patented system exemplify her dedication to improving medical diagnostics. Her work continues to influence the field and offers hope for better patient outcomes.

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