Fairfax Station, VA, United States of America

Amirsina Torfi


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Amirsina Torfi: Innovator in Machine Learning for Medical Treatment

Introduction

Amirsina Torfi is a notable inventor based in Fairfax Station, Virginia. He has made significant contributions to the field of machine learning, particularly in its application to medical treatment. His innovative work focuses on improving clinical recommendations through advanced data processing techniques.

Latest Patents

Amirsina Torfi holds a patent for a groundbreaking method titled "Estimating uncertainty in predictions generated by machine learning models." This patent encompasses methods, systems, and apparatus, including computer programs encoded on a computer storage medium, designed to generate clinical recommendations for medical treatment of patients. The method involves receiving multi-modal data that characterizes a patient, processing this data using a machine learning model, and generating a patient classification. It also includes determining an uncertainty measure that characterizes the uncertainty of the patient classification, ultimately leading to informed clinical recommendations.

Career Highlights

Amirsina Torfi is currently employed at Neumora Therapeutics, Inc., where he applies his expertise in machine learning to enhance healthcare solutions. His work is pivotal in bridging the gap between technology and medicine, ensuring that patients receive tailored treatment recommendations based on comprehensive data analysis.

Collaborations

Amirsina collaborates with esteemed colleagues, including Tathagata Banerjee and Matthew Edward Kollada. Their combined efforts contribute to the advancement of innovative solutions in the medical field.

Conclusion

Amirsina Torfi's contributions to machine learning and medical treatment exemplify the potential of technology to transform healthcare. His innovative patent and collaborative efforts position him as a key figure in the ongoing evolution of clinical recommendations.

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