Cary Dehing-Oberije

Title: **Cary Dehing-Oberije: Innovator in Predictive Modeling for Lung Cancer Survival**

Introduction

Cary Dehing-Oberije is a prominent inventor based in Brunssum, Netherlands. With a remarkable portfolio of four patents, he has contributed significantly to the field of medical data analysis, particularly focusing on lung cancer survival. His work emphasizes innovative methods to create predictive models that prioritize patient privacy and enhances the understanding of cancer survival rates.

Latest Patents

Cary's latest inventions are groundbreaking in the area of privacy-preserving predictive analytics. One of his innovative patents titled "System and method for privacy preserving predictive models for lung cancer survival analysis" introduces a computer-implemented method that enables multiple entities to analyze cancer survival data securely. This system utilizes a random matrix agreed upon by the entities involved and establishes a public computation of a full kernel for effective classification.

Another notable patent is the "Knowledge-based interpretable predictive model for survival analysis." This model leverages expert knowledge to train a machine-learning model, allowing it to make predictions even when faced with missing data. The graphical representation output by this model visually demonstrates the causal relationships between variables, making it interpretable by healthcare professionals, assisting in their decision-making processes regarding patient care.

Career Highlights

Cary is associated with Siemens Medical Solutions USA, Inc., where he collaborates with leading experts in the field. His dedication to enhancing predictive models has set new standards in medical analytics. His contributions not only help in improving cancer treatment but also in ensuring data privacy, which is paramount in today’s digital age.

Collaborations

In his professional journey, Cary has partnered with notable colleagues such as Philippe Lambin and Sriram Krishnan. Their collaboration has been instrumental in advancing the research and development of predictive models that aid in understanding lung cancer survivability.

Conclusion

Cary Dehing-Oberije exemplifies the innovative spirit required to push the boundaries of research in predictive modeling for lung cancer survival. His patents reflect a commitment to improving patient outcomes while respecting data privacy. Through his work at Siemens Medical Solutions USA, Inc., and collaborations with esteemed professionals, Cary continues to make significant strides in the medical field.