Aging Powerfully: AI Blueprint for Chronic Disease Management and Social Determinants of Longevity
The outcomes of the National Inter-University Big Data Challenge — a student-led exploration of how AI and data science can shape better health and social futures.
2025
Inter-University Big Data Challenge™
IUBDC offers a rare and highly sought-after opportunity for undergraduate and graduate students to use AI and advanced data analytics to conduct hands-on, student-driven research in biomedical sciences and health.
IUBDC™
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Program Statistics
First Time Project
IUBDC
4/5
participants completed a research project for the first time
98%
success rate in manuscript publication,
90%
increase in event participants
real-world Skills
IUBDC
9/10
participants gained ML/AI skills and applied them in real-world context
Culminating Events
Western Canada Finals
Calgary, AB, January 31, 2025
University of Calgary Hunter Hub for Entrepreneurial Thinking
Three people working on laptops and tablets at a long table in a modern workspace with a mural featuring words like imagination, leadership, and culture on the wall behind them.
Understanding the Influence of Immigration on the Aging Experience in Canada
Amna Sheikh, Ayesha Sheikh, Khadija Sheikh, Noor Sheikh
The Best Predictors of Parkinson’s Disease: A Subgroup Analysis Using Random Forests
Aishah Olopade, Eshan Sindhu, Alisha Arora, Maria Adamjee
Digital Twin Cities: Simulating Aging Outcomes By Modifying Social Determinants of Health
Wadi Alam, Omar Negmeldin, Divakar Gaba, Abdulrahman Negmeldin
Use of Artificial Intelligence in Detection of Arrhythmia from Electrocardiograms
ZiQi Wei, Joanna Wong, Darren Cheng, Julie Seo, Nicky Chui
Comparing White-Box Versus Black-Box Predictive AI Models for Dementia Using OASIS Data
Ishaan Gupta, David Akingbade, Tirth Patel, Faseeh Imtiaz, Gurshaan Sidhu
Integrating Artificial Intelligence and Behavioural Risk Profiling for Early Stroke Prevention
Ramih Haque, Jamie Marquez, Ayden Good, Azfar Anjum, Joshua Aluko
Socio-economic Predictors of Chronic Musculoskeletal Diseases
Matthias Zelleke, Simranpreet Gill, Tripatjit Kaur, Nancy Tang, Jeet Patel
Drawing To Diagnose: A Gamified Diagnostic Tool For Alzheimer’s And Parkinson’s Disease
Tosin Boyede, Sana Wahab, Sihaam Khalid, Hooria Ashfaq
Winners
Winners of Canada’s National Big Data and AI Challenge
No items found.
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Judge Default
Judge Default
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Special Guests
Provides expertise and fosters connections with government academia, and industry to guide initiatives.
Edith Dumont
Lieutenant Governor of Ontario
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Salma Lakhani
Lieutenant Governor of Alberta
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estern Canada Finals
Toronto, ON, January 30, 2025
Microsoft Canadian Headquarters
Three people working on laptops and tablets at a long table in a modern workspace with a mural featuring words like imagination, leadership, and culture on the wall behind them.
Association Between Gut-Microbiome and Alzheimer’s Disease: a Regression Analysis
Kantaphong Hakin, Galila Eshetu, Hailey D’Souza, Kelly Wong
Predicting Alzheimer’s and Parkinson’s Onset Through Machine Learning and Public Health Data
Haley Matthews, Amna Imran, Reeba Ayaz, Onisa Chowdhury, Amaan Khan
Optimizing Geriatric DASH Diet with Linear Programming for Personalized Nutrition
Ina Wang, Xurui Wang, Yiming Sun, Bowen Zhao
AI-Driven Diagnosis and Early Detection of Alzheimer's Disease Using Retinal Imaging and EEG
Amber Ansh, Sanika Chitre, Helen Huang, Mia Maljevic, Krithi Arunagiriraj
Age Group Robustness in CNN-Based ECG Rhythm Classification Using Wavelet Scalograms
Daniel Wei, Nina Geng
Unlocking Cognitive Resilience: Post-Retirement Careers That Protect the Aging Mind
Jingxin Wang, Qi Chen, Yuhan Pan, Erwen Wu, Ruijia Zhang
Predicting Loneliness-Linked Health Risks by Analyzing Digital Behaviours Using AI
Polina Poduzdova
Predicting Chronic Illness in Aging Populations Using Physiological Markers
Sarina Etminan, Adrian Kwan, Andrei Sales
Machine Learning Driven Discovery of MRI-based Alzheimer’s Biomarkers
Thinuri Welithotage, Jessica Zhu
Improving Prediction of ADR in Elderly Patients Using Machine Learning Algorithms
Alizah Karwani, Arzow Maksum, Amelia Venales, Caitlin Chan Reynolds, Madeline De La Mothe
Enhancing Early Alzheimer’s Detection in Aging Populations Using Novel LLM-assisted Feature Expansion
Dishant Parikh, Sana Khan, Aditi Pithva, Daivik Pelathur, Aagam Shah
Optimizing Radiographic Scoring in Elderly Patients with Rheumatoid Arthritis Using a Convolutional Neural Network Deep Learning Model
Napacha (Hymn) Karonsontawong, Patricia (Hitomi) Watanabe
Spatial and Demographic Disparities in Respiratory Disease Risk among Older Adults
Sri Yenupothula
The Hidden Burden of Work: Job Strain and NAFLD in Aging Populations
Anerie Mayavanshi, Thuvarakah Sathananthan, Manan Shah, Ishva Shah, Dutt Gajjar
Tri-model Forecasting of Alzheimer’s Progression using Music, EEG, and Cognition
Noor Oglah, Yuxuan Liu, Elahe Foadoddini, Fareeha Noor, Jhanvi Mandikal Nagaraja
Multimodal Machine Learning-Based Diagnosis Chatbot for Alzheimer’s Disease
Veronica Mordvinova
AI-Driven Early Detection of Cardiovascular Diseases Using Knowledge Graphs and GNNs for Elderly
Ghizlane Ez-zarrad
AI-Driven Multi-Omics Approach for PCOS Subtyping and Drug Prediction to Advance Precision Women’s Healthy Aging
Fatemeh Kheiry, Narjes Kheiry
Deep Learning Insights into Social Determinants of Chronic Disease and Longevity
Ishrat Jaben Bushra, Kin Kwan Liu, Muhammad Zaka Shaheryar, Sazia Afreen
A Critical Review of Canadian Hip and Knee Replacement Trends and Revisions
Princedeep Singh, Shriram Sritharan, Talha Hasany, Barunjit Munder, Tarnjot Brar
AI-Powered Wearable Sensors for Fall Detection in Older Adults
Jenna Pavlovic, Asghar Khan, Ameera Khwaja, Maria Tassopoulos, Emma Massaro
AI-Based Early Osteoporosis Risk Detection Using Questionnaire Responses
Ali Sher Khan, Ashesh Rai, Prabin Shrestha, Richesh Khatri, Sidak Preet Singh
Inhibiting MARK4 to Prevent Tau Accumulation in Alzheimer's: A Docking Study
Midhah Khan, Nabiha Bari, Nadia Anwar, Malaika Ali, Aamna Malik
Beyond Diagnosis: Enhancing Parkinson’s Disease Detection and Symptom Profiling Using Wearable Data
Kiarash Kianidehkordi, Charlotte Wong
Predicting Binding Affinity Using Machine Learning: A Step Toward Cardiovascular Drug Discovery
Roy Hung
Sleep Inequality and Chronic Illness in Aging Canadians
Wareesha Ali, Konain Ali, Manahil Shakeel
Detection of Alzheimer’s Dementia from Spontaneous Speech Using Gradient‑Boosted Classification
Andrea Franco Suarez, Andres Salguero
Machine Learning Prediction of Age and Alzheimer’s Disease from DNA Methylation Profiles
Alexis Justin Ballesteros
Musical Engagement and Cognitive Risk: an Equity-Focused Analysis in Canadian Seniors
Olivia Burke, Amal Siddiqi
Predictive Modeling of Polio and Hypertension: A Hybrid Model for Disease Risk Forecasting
Areez Dhaliwal, Selena Li, Benjamin Nesan, Arsham Sajjadi, Noelle Yeung
Uncovering Polypharmacy Patterns in Older Adults: A Cluster Analysis of NHANES Data
Ava Bidari, Nika Moradi Haghgou, Peivand Moradi Haghgou
Winners
Winners of Canada’s National Big Data and AI Challenge
No items found.
member profile image
Judge Default
Judge Default
LinkedIn Icon
Special Guests
Provides expertise and fosters connections with government academia, and industry to guide initiatives.
Edith Dumont
Lieutenant Governor of Ontario
LinkedIn Icon
Salma Lakhani
Lieutenant Governor of Alberta
LinkedIn Icon
Highlights
Quick Result Recap, Eastern Canada, Toronto
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Previous Project
IUBDC
2019
Big Data of Recreational Drugs Through the Lens of Pharmaceutic, Public Health, and Socioeconomic Data
See Details
IUBDC
2024
Leveraging Open Data Analytics and Machine Learning to Improve Mental Health Research & Innovation
See Details
IUBDC
2025
Aging Powerfully: AI Blueprint for Chronic Disease Management and Social Determinants of Longevity
See Details