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: Md Anwarul Hasan: Innovator in Machine Learning for Diabetic Foot Complications
Introduction
Md Anwarul Hasan 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 lead to serious health issues if not addressed promptly.
Latest Patents
One of his key patents is titled "Machine learning model for stratification of early diabetic foot complication using thermogram images." This invention provides a machine learning model that is operable to predictively diagnose the risk of diabetic foot ulceration formation. The model receives a thermogram of a foot, identifies risk factors for diabetic foot ulceration, and outputs these factors as a diagnosis. This patent represents a significant advancement in early diagnosis and prevention of diabetic complications.
Career Highlights
Throughout his career, Md Anwarul Hasan 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
He 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
Md Anwarul Hasan's innovative work in machine learning for diabetic foot complications showcases his commitment to improving healthcare outcomes. His contributions are paving the way for advancements in predictive diagnostics, ultimately benefiting patients at risk of serious health issues.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile