This inventor holds 1 USPTO granted patent. Top assignees: Qatar Foundation for Education, Science and Community Development, Weill Cornell Medical College in Qatar. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 2026
Title: Kanchon Kanti Podder: Innovator in Machine Learning for Diabetic Foot Complications
Introduction
Kanchon Kanti Podder is a notable inventor based in Doha, Qatar. He has made significant contributions to the field of machine learning, particularly in the healthcare sector. His innovative work focuses on predicting diabetic foot complications, which can have serious implications for patients.
Latest Patents
Kanchon holds a patent for a machine learning model designed for the stratification of early diabetic foot complications using thermogram images. This model is capable of predictively diagnosing the risk of diabetic foot ulceration formation by analyzing thermogram images of the foot. It identifies risk factors associated with diabetic foot ulceration and outputs these factors as a diagnosis, thereby aiding in early intervention.
Career Highlights
Throughout his career, Kanchon has worked with esteemed organizations such as the Qatar Foundation for Education, Science and Community Development and Weill Cornell Medical College in Qatar. His experience in these institutions has allowed him to collaborate with leading experts in the field and contribute to groundbreaking research.
Collaborations
Kanchon has collaborated with notable colleagues, including Amith Khandakar and Muhammad E H Chowdhury. These partnerships have further enhanced his research and development efforts in machine learning applications for healthcare.
Conclusion
Kanchon Kanti Podder is a pioneering inventor whose work in machine learning is making a significant impact on the diagnosis and management of diabetic foot complications. His innovative patent and collaborations highlight his commitment to advancing healthcare technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile