Mountain View, CA, United States of America

Kunal Nagpal


Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2025

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Kunal Nagpal: Innovator in Artificial Intelligence for Prostate Cancer Prediction

Introduction

Kunal Nagpal is a prominent inventor based in Mountain View, CA (US). He has made significant contributions to the field of artificial intelligence, particularly in the medical domain. His innovative work focuses on predicting prostate cancer outcomes, which has the potential to improve patient care and treatment strategies.

Latest Patents

Kunal Nagpal holds a patent for an artificial intelligence method that predicts prostate cancer outcomes. This method involves receiving an image of prostate tissue and assigning Gleason pattern values to various regions within the image using an AI Gleason grading model. The model is trained to identify Gleason patterns on a patch-by-patch basis. It determines the relative areal proportions of the Gleason patterns within the image and assigns a risk score or risk group value based on these proportions. The output includes at least one of the risk score or risk group value, which can aid in clinical decision-making.

Career Highlights

Kunal Nagpal is currently associated with Verily Life Sciences LLC, a company that focuses on using technology to improve healthcare outcomes. His work at Verily emphasizes the integration of artificial intelligence in medical diagnostics, showcasing his commitment to advancing healthcare through innovation.

Collaborations

Kunal collaborates with notable colleagues such as Craig Mermel and Yun Liu. Their combined expertise contributes to the development of cutting-edge solutions in the field of healthcare technology.

Conclusion

Kunal Nagpal's contributions to artificial intelligence in predicting prostate cancer outcomes highlight his role as an innovator in the medical field. His work not only advances technology but also has the potential to significantly impact patient care.

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