Donna Yosmanovich

Title: Inventor Spotlight: Donna Yosmanovich

Introduction

Donna Yosmanovich, a prominent inventor based in King of Prussia, PA, has made significant contributions to the field of medical technology. With a focus on machine learning applications in healthcare, she holds a patented innovation that has the potential to transform how certain medical conditions are diagnosed. Her expertise lies in using algorithms to better understand patient data, ultimately aiming to enhance patient outcomes.

Latest Patents

Yosmanovich's noteworthy invention, titled "Machine-learning based query construction and pattern identification for hereditary angioedema," represents a groundbreaking approach to identifying medical conditions. The patented method encompasses a system and computer program product that determines the probability of hereditary angioedema in patients. By analyzing data sets related to patient populations diagnosed with the condition, the processor identifies common features and assigns weights based on their occurrence. This process generates mutual information and enables the creation of machine learning algorithms that can differentiate between patients with and without the condition.

Career Highlights

As an inventor at HVH Precision Analytics LLC, Donna has dedicated herself to advancing the utilization of machine learning in medical assessment. Her innovative mindset and technical skills have allowed her to develop a system that dynamically adjusts according to the data patterns it analyzes, thus providing a more accurate assessment of undiagnosed patients.

Collaborations

Throughout her career, Yosmanovich has collaborated with talented colleagues, including Oodaye Shukla and Manjula Kasoji. These collaborations have fostered an environment of teamwork and innovation, leading to impactful developments in patient care and medical technology.

Conclusion

Donna Yosmanovich's contributions to the world of invention highlight the intersection of technology and healthcare. Her patent reflects a forward-thinking approach to diagnosing hereditary angioedema and showcases the potential of machine learning in improving medical assessments. As she continues her work at HVH Precision Analytics LLC, the medical community eagerly anticipates the further advancements she will undoubtedly bring forth in her field.