Catch diabetes risk in real time.
GlucoGuard connects medical sensors to machine-learning models that predict diabetes risk as data arrives, sending early alerts to patients and their doctors.
The problem
Half of people with diabetes don't know they have it.
Diabetes often develops silently. Without early detection, complications such as heart disease, kidney failure and vision loss can set in before diagnosis.
adults were living with diabetes worldwide in 2021.
adults with diabetes are undiagnosed.
adults are projected to have diabetes by 2030.
Source: IDF Diabetes Atlas, 10th edition (2021).
How it works
How it works
A clear path from data to decision.
Measure
IoMT devices collect health readings.
Transmit
Data flows securely to the GlucoGuard platform.
Predict
Machine-learning models assess diabetes risk in real time.
Alert
Patients and doctors receive early warnings.
Product
What makes it different.
Every feature is grounded in the founding research.
Real-time prediction
Risk is updated as new readings arrive.
Connected devices
Works with Internet of Medical Things sensors.
Dual alerts
Notifies both patient and doctor.
Secure by design
Health data handled with privacy as a priority.
Who it's for
Who it's for.
Patients at risk
Continuous awareness of their health.
Clinics & doctors
Remote monitoring and early intervention.
Insurers & employers
Preventive health programmes.
The research
Built on peer-reviewed research.
- Combines the Internet of Medical Things with machine learning.
- Targets real-time diabetes prediction.
- Supports early alerts for patients and clinicians.
- Published in the Journal of Intelligent Systems and Internet of Things, 17(1), 2025.
Saihood, Q., Kareem, I. H., Ismael, O. A., Mohammed, S. I., & Algburi, A. N. O. (2025). Internet of Medical Things Powered by Machine Learning for Real-Time Diabetes Prediction. Journal of Intelligent Systems and Internet of Things, 17(1).
Team
The team behind it.
Founded in 2025 by a student team from two faculties.
Faculty of Health & Medical Technologies
Clinical measurements, medical devices and validation.
Faculty of Science (Computer Science)
Machine learning, IoT platform and app development.
FAQ
Questions we hear often.
Does GlucoGuard diagnose diabetes?
No. It predicts risk and prompts timely clinical testing and follow-up.
Who sees my data?
Only you and the clinicians you authorise.
Is this a finished commercial product?
It is a research-based student startup moving from validated prototype toward pilots with real users.
Can we partner or run a pilot?
Yes. We are looking for organisations willing to test the solution in real conditions and share feedback.
Bring GlucoGuard IoMT to your organisation.
We are onboarding pilot partners now. Read the research and get in touch.