Company Filing History:
Years Active: 2017-2025
Title: Will Shapiro: Innovator in Machine Learning and Clinical Data Extraction
Introduction
Will Shapiro is a prominent inventor based in New York, NY (US), known for his significant contributions to the field of machine learning and clinical data extraction. With a total of 14 patents to his name, Shapiro has made remarkable strides in utilizing technology to enhance healthcare data processing.
Latest Patents
One of Shapiro's latest patents focuses on the machine learning extraction of clinical variable values for subjects from clinical record data. This innovative technique employs machine learning to automatically extract clinical variable values, designating certain clinical variables as hybrid variables that can be assigned values through model prediction. The process involves using a trained machine learning model to analyze clinical record data associated with a subject, resulting in a predicted hybrid variable value along with an associated confidence score. When the model's prediction reaches a sufficiently high confidence level, the hybrid variable's value is set to the predicted value, showcasing the potential of machine learning in clinical settings.
Career Highlights
Throughout his career, Will Shapiro has worked with notable companies such as Spotify AB and Flatiron Health, Inc. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking projects in the realm of healthcare technology.
Collaborations
Shapiro has collaborated with talented individuals in his field, including Clay Gibson and Santiago Gil. These partnerships have fostered innovation and have been instrumental in advancing his work in machine learning and clinical data extraction.
Conclusion
Will Shapiro's contributions to machine learning and clinical data extraction exemplify the intersection of technology and healthcare. His innovative patents and collaborations highlight his commitment to improving clinical processes through advanced data analysis techniques.