This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignees: Genentech, Inc., Hoffmann-La Roche Inc.. Active years: 2025-2026.
Company Filing History:
2 out of 3,292 
2 out of 5,016 
Years Active: 2025-2026
Title: Innovations by David B Clayton
Introduction
David B Clayton is an accomplished inventor based in Mountain View, CA. He has made significant contributions to the field of machine learning, particularly in the area of medical imaging. With a total of 2 patents, his work focuses on enhancing lesion detection through advanced algorithms.
Latest Patents
One of his latest patents is titled "Multi arm machine learning models with attention for lesion segmentation." This invention relates to multi-arm machine learning models designed for lesion detection. The technology involves accessing three-dimensional magnetic resonance imaging (MRI) images that depict the same volume of a brain. The process includes generating encodings of these images using corresponding encoder arms of a machine-learning model, ultimately leading to predictions that identify portions of the brain likely to contain lesions.
Another notable patent is "Connected machine-learning models with joint training for lesion detection." This invention also focuses on three-dimensional MRI images of the brain, which include various types of lesions. The machine-learning model comprises two convolutional neural networks that generate segmentation masks for different types of lesions, enhancing the accuracy of lesion detection.
Career Highlights
David has worked with prominent companies in the biotechnology and pharmaceutical sectors, including Genentech, Inc. and Hoffmann-La Roche Inc. His experience in these organizations has contributed to his expertise in developing innovative solutions for medical imaging.
Collaborations
Some of his notable coworkers include Anitha Priya Krishnan and Nils Gustav Thomas Bengtsson. Their collaborative efforts have likely played a role in advancing the research and development of machine learning applications in healthcare.
Conclusion
David B Clayton's contributions to machine learning and medical imaging are noteworthy. His innovative patents reflect a commitment to improving lesion detection, which can significantly impact patient care. His work continues to inspire advancements in the field of medical technology.