Saha RESONANCE Lab
Responsible Management and Optimization of Chronic Diseases through Novel Artificial Intelligence
The vision of the RESONANCE Lab is to manage chronic diseases with advance digital technologies.
The Lab’s two major research directions are:
- Developing new technologies such as mobile applications and wearable devices with embedded artificial intelligence (AI) to manage chronic conditions such as heart failure, sleep apnea, asthma, COPD and cancer. The ultimate goal of this direction is to create easily accessible and cost-effective technologies that enable patients to manage their own care.
- Evaluating and optimizing AI technologies to ensure their effective application in diagnosing, monitoring and treating chronic diseases.
The lab’s overarching goal is to improve health care quality and access through innovative technologies, fostering a more efficient and effective health system.
Publications
Lab Members
Habeeb Kotun, Jr.
M.S. Data Science student
Kweku White
M.S. Data Science student
Collaborators
Internal
Todd Gary
Associate Dean, External Research and Development Partnerships
Assistant Professor, Biomedical Data Science
External
Azadeh Yadollahi, Ph.D.
Senior Scientist and Canada Research Chair
University Health Network
Canada
Joseph Cafazzo, Ph.D
Executive Director
Biomedical Engineering, University Health Network
Canada
Daniel Vena, Ph.D.
Instructor
Harvard Medical School
USA
Michael McDonald, M.D.
Associate Professor
Division of Cardiology, University Health Network
Canada
Darshan Brahmbhatt, M.D., MPhil
Cardiologist
University Health Network and Mount Sinai Hospital
Canada
Daniella Di Basillo, Ph.D.
Lecturer
Lancaster University
UK