Company Filing History:
Years Active: 2023-2025
Title: The Innovative Contributions of Guy Amster
Introduction
Guy Amster is a notable inventor based in Hoboken, NJ (US), recognized for his significant contributions to the field of data processing and machine learning in healthcare. With a total of 5 patents, Amster has developed innovative systems that enhance the accuracy and efficiency of medical data analysis.
Latest Patents
Among his latest patents is a groundbreaking system titled "Systems and methods for model-assisted data processing to predict biomarker status and testing dates." This model-assisted system utilizes a processor to access a database containing a patient's medical record, which includes unstructured data. The system analyzes this data to identify various dates and snippets of information, ultimately determining associations between dates and patient events through a trained machine learning model.
Another significant patent is focused on "Machine learning extraction of clinical variable values for subjects from clinical record data." This invention employs machine learning techniques to automatically extract clinical variable values from clinical records. It designates certain clinical variables as hybrid variables, which can be assigned values through model predictions, thereby enhancing the accuracy of clinical data interpretation.
Career Highlights
Guy Amster is currently employed at Flatiron Health, Inc., a company dedicated to improving cancer care through data-driven solutions. His work at Flatiron Health has positioned him at the forefront of healthcare innovation, where he applies his expertise in machine learning to solve complex medical data challenges.
Collaborations
Amster collaborates with talented professionals in his field, including Nisha Singh and Sharang Phadke. These collaborations foster a creative environment that drives innovation and enhances the development of cutting-edge technologies in healthcare.
Conclusion
Guy Amster's contributions to the field of data processing and machine learning are invaluable, as he continues to push the boundaries of innovation in healthcare. His work not only improves patient outcomes but also sets a precedent for future advancements in medical technology.