Around 537 million individuals between the ages of 20 and 79 are affected by diabetes. It is predicted that the total number of diabetic cases will increase to 643 million by 2030. Because diabetes is a chronic disease, patients with diabetes suffer from this disease for a long time. The disease is associated with different complications for patients, their families and public health systems by reducing both the quality of life and life expectancy and causing different potentially life-threatening problems.
Objectives
1.Develop and validate a comprehensive approach based on AI to identify individuals who are at risk of developing T2D.
2.Develop a national risk factor assessment tool for early prediction of T2D.
3.Provide an algorithm and explore the potential of adapted-based national risk factors/cut-off of T2D risk factors.
4.Provide a national guideline based on adapted national risk factors/cut-off of T2D risk factors.
5.Develop and validate a national Oman software to provide services to patients with T2D using digital health and artificial intelligence in order to detect people who are at risk.
Collaborative Partners:
Collaborator 1
Oman Medicine
Health services collaboration
Collaborator 2
Oman Medicine
Health services collaboration
Collaborator 3
Australia
Biomedical Sciences
Research collaboration
Collaborator 4
Iran, Islamic Republic Of
Medical Sciences
Research collaboration
Collaborator 5
Australia
Medicine
Research collaboration
Collaborator 6
New Zealand
Medicine
Research collaboration
Collaborator 7
United States of America
Medicine
Research collaboration