Port Hope, Canada

Daniel Mark Kowalchuk


Average Co-Inventor Count = 3.6

ph-index = 2

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2019-2025

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3 patents (USPTO):Explore Patents

Title: Innovations by Daniel Mark Kowalchuk

Introduction

Daniel Mark Kowalchuk is a notable inventor based in Port Hope, Canada. He has made significant contributions to the field of automated blood sample processing systems. With a total of three patents to his name, Kowalchuk's work focuses on enhancing the efficiency and accuracy of blood sample analysis.

Latest Patents

Kowalchuk's latest patents include an "Automated capper for automated blood sample processing systems." This invention provides systems, methods, devices, and an apparatus for capping blood sample tubes after they are processed. One aspect of this patent describes an automated blood sample tube capping assembly that is designed to automatically cap multiple sample tubes post-processing. Another significant patent is the "Sample extraction and rotation device for automated blood sample processing systems." This invention outlines systems, methods, devices, and apparatus for detecting sample defects in blood samples. It includes a pre-analytic specimen integrity monitoring device and methods for identifying blood components and properties in samples.

Career Highlights

Kowalchuk is currently employed at Cerner Innovation, Inc., where he continues to develop innovative solutions in the healthcare technology sector. His work is instrumental in improving the reliability of blood sample processing, which is crucial for accurate medical diagnostics.

Collaborations

Kowalchuk has collaborated with notable colleagues such as Joseph Eugene Rose and Stephen Ward. Their combined expertise contributes to the advancement of technologies in the medical field.

Conclusion

Daniel Mark Kowalchuk's contributions to automated blood sample processing systems exemplify his commitment to innovation in healthcare technology. His patents reflect a dedication to improving medical diagnostics through automation and efficiency.

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