Brooklyn, NY, United States of America

Jeremy Canfield


Average Co-Inventor Count = 12.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Jeremy Canfield

Introduction

Jeremy Canfield, an accomplished inventor based in Brooklyn, NY, has made significant contributions to the field of machine learning in healthcare. With a focus on the extraction of clinical variable values from clinical record data, his work epitomizes the intersection of technology and medicine, paving the way for advancements in patient care.

Latest Patents

Jeremy's patent titled "Machine learning extraction of clinical variable values for subjects from clinical record data" introduces groundbreaking techniques for using machine learning to automatically extract critical clinical variable values. This patent details methods for designating certain clinical variables as hybrid variables, which can be assigned values through predictions made by a machine learning model. These techniques enable healthcare professionals to process clinical record data associated with a subject and obtain predicted hybrid variable values along with associated confidence scores. Notably, when the prediction achieves a sufficiently high confidence level, the clinical variable is set to the predicted value, enhancing the accuracy of patient data analysis.

Career Highlights

Currently, Jeremy Canfield is a key member of the innovative team at Flatiron Health, Inc., a company renowned for its commitment to improving cancer care through data and technology. His role at Flatiron Health emphasizes the application of his inventive techniques to real-world healthcare challenges, contributing to the delivery of advanced medical insights.

Collaborations

Throughout his career, Jeremy has collaborated with talented professionals, including colleagues Nisha Singh and Marc Knight. Their combined expertise fosters an environment of innovation, leading to the development of cutting-edge technologies that enhance clinical data utilization in healthcare settings.

Conclusion

In conclusion, Jeremy Canfield stands out as a pioneer in the realm of machine learning applications within clinical environments. His contributions not only highlight the importance of innovative thinking in healthcare but also exemplify the potential of technology to transform patient outcomes, reinforcing the critical role of inventors in advancing medical science.

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