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: Moajjem Hossain Chowdhury: Innovator in Machine Learning for Diabetic Foot Complications
Introduction
Moajjem Hossain Chowdhury 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
Chowdhury holds a patent for a "Machine learning model for stratification of early diabetic foot complication using thermogram images." This machine learning model is designed to predictively diagnose the risk of diabetic foot ulceration formation. It operates by receiving a thermogram of a foot, identifying risk factors for diabetic foot ulceration, and outputting these factors as a diagnosis. This invention is crucial for early intervention and management of diabetic foot complications.
Career Highlights
Throughout his career, Chowdhury has worked with prominent 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 significant advancements in medical technology.
Collaborations
Some of his notable coworkers include Amith Khandakar and Muhammad E H Chowdhury. Their collaborative efforts have further enhanced the impact of his work in machine learning and healthcare.
Conclusion
Moajjem Hossain Chowdhury's innovative contributions to machine learning in healthcare demonstrate the potential of technology to improve patient outcomes. His work in predicting diabetic foot complications is a testament to the importance of innovation in medical science.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile