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: Rayaz A Malik: Innovator in Machine Learning for Diabetic Foot Complications
Introduction
Rayaz A Malik is a prominent 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
Rayaz A Malik 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. The machine learning model identifies risk factors associated with diabetic foot ulceration and outputs these factors as a diagnosis, providing valuable insights for early intervention.
Career Highlights
Throughout his career, Rayaz A Malik has worked with notable organizations, including 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
Rayaz has collaborated with esteemed colleagues such as Amith Khandakar and Muhammad E H Chowdhury. Their combined expertise has further advanced the development of innovative solutions in healthcare.
Conclusion
Rayaz A Malik's contributions to machine learning and healthcare exemplify the impact of innovation in addressing critical health challenges. His work continues to pave the way for advancements in the diagnosis and treatment of diabetic foot complications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile