Company Filing History:
Years Active: 2012
Title: Vida Kianzad: Innovator in Prostate Cancer Detection
Introduction
Vida Kianzad is an accomplished inventor based in Newton, MA (US). He has made significant contributions to the field of medical technology, particularly in the detection and grading of prostate cancer. His innovative approach combines advanced imaging techniques with machine learning to enhance diagnostic accuracy.
Latest Patents
Kianzad holds a patent for a groundbreaking invention titled "System and method for unsupervised detection and Gleason grading of prostate cancer whole mounts using NIR fluorescence." This method involves the unsupervised classification of histological images of prostatic tissue. It includes providing histological image data obtained from a slide that is simultaneously co-stained with NIR fluorescent and Hematoxylin-and-Eosin (H&E) stains. The process involves segmenting prostate gland units in the image data, forming feature vectors by computing discriminating attributes of the segmented gland units, and using these feature vectors to train a multi-class classifier. The classifier is capable of classifying prostatic tissue into benign, prostatic intraepithelial neoplasia (PIN), and Gleason scale adenocarcinoma grades 1 to 5 categories. Kianzad's innovative work has led to the development of a method that can significantly improve the accuracy of prostate cancer diagnosis.
Career Highlights
Kianzad is currently employed at Siemens Aktiengesellschaft, where he continues to work on innovative solutions in medical imaging and diagnostics. His expertise in the field has positioned him as a valuable asset to the company and the medical community.
Collaborations
Throughout his career, Kianzad has collaborated with talented professionals, including Ali Khamene and Tina Ehtiati. These collaborations have fostered an environment of innovation and have contributed to the advancement of medical technologies.
Conclusion
Vida Kianzad is a notable inventor whose work in prostate cancer detection exemplifies the intersection of technology and healthcare. His contributions are paving the way for more accurate and efficient diagnostic methods, ultimately benefiting patients and healthcare providers alike.