Hi there ! I'm Mohamad AlJasem , a physician, AI developer, and clinical researcher dedicated to creating technologies that transform healthcare.
My work sits at the crossroads of deep learning, digital health, and clinical insight — where algorithms meet empathy.
- 🎓 MD + MPH + MSc from TUMS.
- 🧠 Focus: AI in Cardiology, Epilepsy, & Ophthalmology
- 🔬 Researching AI for corneal topography, CVD risk modeling, and Non-Communicable Diseases Prediction
“I don’t just code models — I build end-to-end systems that translate the science into real-world soultuoins”
| 🔬 Project | 🧭 Description |
|---|---|
| 🫀 tempora-cvd | An experimental system for 10-year CVD risk prediction using temporal transformer models on synthetic EHR data |
| 🎓 FireLMS | A light-weight learning management system based on Angular and Firebase |
| 🔗 ModelProxy | TypeScript-based model proxy service |
| ❤️ DelShad | Personalized Cardiovascular Diseases Platform for screening and risk reduction |
| 📱 VitaLink | Human-Centric Health Tracking and Sharing App |
| 📊 Sample-Size-Calculator | Sophisticated biomedical sample size calculator for research designs in biomedical and epidemiology studies |
| 🏥 Kamaryar | Evidence-based self-management program for non-specific low back pain |
| 🤖 ChatGBD | AI Agent to support researchers and policy makers working with Global Burden of Diseases (GBD) study datasets |
| ⚡ AutoGBD | Intelligent framework for harmonizing health data to Global Burden of Disease (GBD) standards |
| 📦 PyCVDRisk | Python library for calculating cardiovascular disease risk using clinically validated algorithms |
| 🗂️ OpenMedicalData | A repository of open medical data that can be accessed freely |
| 🧠 CardioPredictNet | Deep learning-based clinical support tool for cardiovascular disease risk stratification |
- Cardiovascular AI models for precision risk prediction
- AI in ophthalmology — image-based diagnostics
- Seizure prediction and digital biomarkers in epilepsy
- EHR mining, hospital automation, and data-driven clinical decisions
🧬 My long-term vision: to build trustworthy AI systems that augment the intuition of clinicians — not replace it.
“Medicine is data.
AI is understanding.
Together, they form the future of care.”
I believe in a healthcare future where AI is not a tool, but a colleague — one that listens, learns, and helps save lives.
- 🏅 Research in cardiology AI & digital transformation of healthcare
- 🧩 Building open-source AI pipelines for medical research
- 💡 Speaker: Digital Transformation in Hospitals
- 🌐 Global collaborations in clinical informatics
| Category | Tools |
|---|---|
| 🤖 AI / ML | PyTorch, TensorFlow, Keras, scikit-learn |
| 🧠 Data Science | Pandas, NumPy, Matplotlib, DICOM, SQL |
| 🧬 Clinical Data | FHIR, HL7, EHR, MONAI, Pydicom |
| 💻 Dev / Infra | Python, FastAPI, Docker, GitHub Actions, Linux |
“AI should not aim to replace the physician’s judgment —
it should help reveal patterns that no human could see.”
When I’m not coding or reading clinical data,
you’ll find me designing hospital systems, exploring medical imaging datasets —
or imagining what the AI-powered hospital of 2030 will look like.