Artificial Intelligence in Digital Medicine

Empowering Healthcare with Intelligent Systems

We build transparent, high-performance AI frameworks to solve critical challenges in clinical decision support, medical imaging, and cancer genomics.

Explore Research
50+
Publications
3
Active Grants
12
Lab Members
100%
Open Source
Core Areas

Pioneering Digital Medicine

Cancer Genomics & XAI

We leverage deep learning and tree-based models to classify cancer subtypes with high precision. Our research emphasizes explainability (XAI) using SHAP and LIME to ensure clinical trust and grounding in molecular evidence.

Clinical Decision Support

Building real-time monitoring and diagnostic tools for cardiovascular health and stroke prevention. Our systems integrate multi-modal data to provide actionable insights for clinicians in acute care settings.

Portfolio

Active Research Projects

Stroke Risk Recommender

Stroke Risk Recommender

A smart clinical tool for early stroke identification and personalized risk assessment using real-time physiological data.

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Cancer Classifier

XAI Cancer Classifier

Explainable AI for multi-cancer classification from genomic profiles, specifically targeting glioma and breast cancer subtypes.

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Heart Attack Monitor

Heart Attack Monitor

Predictive analytics framework for identifying myocardial infarction risk using wearable sensor data and deep temporal models.

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Diabetes Risk Detetcting System

Diabetes Risk Detetcting System

Diabetes is a prevalent chronic disease with a significant risk of health problems including brain stroke, heart attack, and other long-term health complications. Early detection of the risk and proper action are crucial to prevent health complications and eliminate any adverse outcomes.

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OODA Loop for Stroke Risk Management

OODA Loop for Stroke Risk Management

OODA-based stroke risk management framework that helps doctors and patients observe symptoms, assess risk factors, decide on care actions, and track progress over time.

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MedGemma MRI Pipeline

MedGemma MRI Pipeline

The MedGemma MRI Pipeline for brain tumor analysis, combining segmentation, anatomical grounding, and vision-language AI for clinically meaningful glioblastoma scan interpretation.

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Our People

The Research Team

Dr. Yasin Mamatjan
Principal Investigator
  • Authored 34 journal publications and over 82 conference posters/papers.
  • Developed ~20 ML models & genomics pipelines.
  • Obtained 5 grants in 2022.
Ehsan Mamatjan
Research Assistant
  • Co-founder & Teacher at Mengutech Training Centre.
  • Built lab website & recommender systems.
Nijiati Abulizi
Data Consultant
  • Data consultant applying ML to real-world research.
  • Experience as UBC Okanagan lab tech & TA.
Brock Young
Software Engineering Student
  • Research spanning AI medical systems & quantum physics.
  • Multiple scholarships & 6 Dean's List honors.
Jamil Reza
Researcher for Medical AI Projects and AI Agents
  • Lead Researcher for Medical AI Projects.
  • Manages Lab Operations.
Danial Shaikh
MSc Student in Data Science
  • Pursuing Master of Science in Data Science.
  • Experience in full-stack web dev & IoT.
Partnerships

Our Collaborators

Collaborators
Academic Footprint

Selected Publications

  • [Nature Communications] Explainable AI for multi-cancer classification using DNA methylation profiling. (2024)
  • [IEEE Access] Real-time stroke monitoring using deep learning on multimodal sensor data. (2023)
  • [Bioinformatics] Hierarchical classification of gliomas using ensemble tree-based models and the WHO CNS5 guidelines. (2023)
View All on Google Scholar
Recognition

Grants & Awards

NASA Space Apps Hackathon 2025 (Kamloops Event) - Best Storyteller Award

October 4-5, 2025 - Kamloops, BC
  • The team created Pour Decisions, merging two datasets to train a machine learning model.
  • They trained and saved the model as a .pkl file.
  • The team built a website featuring an interactive map and chatbot.
  • They delivered a lighthearted presentation that impressed the judges and earned the award.

Kamloops 2025 Hackathon - First Place

September 19-21, 2025 - Kamloops, BC
  • The team developed OneShot.pro, an AI-powered archery training system for real-time form analysis.
  • They integrated dual cameras and biosensors to provide instant coach feedback.
  • The team presented a live demo and compelling business pitch that secured the win.

International Conference on Advancement in Healthcare Technology and Biomedical Engineering (AHTBE'25) - Best Paper Award

August 30-31, 2025 - Vancouver, BC
  • The team authored an award-winning research paper on a multi-modal IoT-driven assistive patient monitoring system for enhanced wheelchair accessibility.
  • They presented their findings to an international audience of healthcare technology and biomedical engineering experts.
  • The team collaborated to design the methodology, analyze results, and validate their conclusions.

Kamloops 2025 Wolves' Den - First Place and Audience Award

April 28, 2025 - Kamloops, BC
  • The team pitched "We'll Assist," an AI-powered wheelchair assistant.
  • They won $12,500 in prizes — $10,000 for first place and $2,500 for the audience award.
  • The team developed a real-time wheelchair monitoring system integrated with cloud analytics.
  • They collaborated under tight deadlines to deliver a fully functional prototype and web platform.