Profile
Dr. Sylvain Moreno is the Director of the Digital Health Hub, Associate Director of the STAR Institute and Associate Professor at the School of Interactive Arts and Technology. He is the Head of Innovation for the KBHN NCE. Dr. Moreno is a specialist in neuroscientific technologies related to digital media, rehabilitation and brain fitness solutions across the lifespan. Dr. Moreno has been a member of the New York Academy of Science since 2006. He has been the recipient of many awards from national and international organizations such as the Early Researcher Award from The Ontario Ministry of Economic Development and Innovation. His work has received widespread press in various media outlets including The New York Times and Forbes. He has authored several scientific publications and patents with real-world impacts in clinical and educational environments. He is also the Co-Founder of several start-up companies in the high-tech sector. AGE-WELL Funded ProjectsOutputs
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| Aging and Machine learning: a way to better longevity.AWNIH-DHC Simon Fraser University | Scientific Excellence - Advancing Knowledge | 2020-03-02 | | | What does movement bring to our lives when we ageAWNIH-DHC Simon Fraser University | Scientific Excellence - Advancing Knowledge | 2019-10-01 | | | Interactive digital media for mental health.AWNIH-DHC Simon Fraser University | Scientific Excellence - Advancing Knowledge | 2019-06-01 | | | Globe & Mail Interview: Why more retirees are choosing to go back to workDuring this interview with The Globe and Mail, Circle Innovation's CEO and Scientific Director Dr. Sylvain Moreno discusses how older adults who want to work can help solve some of the skills shortages in the labour market, while improving their own cognitive health in the process. Even as they approach retirement, older workers have a strong appetite for continuous learning.AWNIH-DHC Simon Fraser University | KTEE - Knowledge Mobilization | 2022-05-31 | | | Researching the Globe CC2 TECH-TRANS Research Simon Fraser University, KITE Research Institute at University Health Network | Scientific Excellence - Advancing Knowledge | 2017-03-08 | | | A fast and fully-automated deep-learning approach for accurate hemorrhage segmentation and volume quantification in non-contrast whole-head CTThis research was aimed to develop novel methods that can improve precision and efficiency for hematoma segmentation and quantification in clinical applications for more effective stroke management. The three objectives are: 1) To develop an artificial intelligence method applying Convoluted Neural Network with Deep Supervision (CNN-DS), to fully automate segment and quantify ICH volume in CT images; 2) To evaluate the performance of the CNN-DS method in terms of accuracy and efficiency; 3) To compare the performance of this AI method to that of standard clinical evaluation and established machine learning (ML) based methods. Simon Fraser University, Fraser Health | Scientific Excellence - Advancing Knowledge | 2020-11-09 | | | Digital interventions for depression and anxiety in older adults: A systematic review of randomized controlled trialsDigital interventions for depression and anxiety in older adults: A systematic review of randomized controlled trialsAWCRP-2020-03 KITE Research Institute at University Health Network, Simon Fraser University, University of Oxford | KTEE - Knowledge Mobilization | 2022-03-29 | | | Understanding Innovation Hubs: Literature ReviewPoster created for the AGE-WELL 3rd Annual Conference based on an Innovation Hub literature review. The aim of the poster was to display the principles and practices of innovation hubs. CC2 TECH-TRANS KITE Research Institute at University Health Network, Simon Fraser University | Scientific Excellence - Advancing Knowledge | 2017-10-17 | | | Automation of CT-based haemorrhagic stroke assessment for improved clinical outcomes: study protocol and designHaemorrhagic stroke is of significant healthcare concern due to its association with high mortality and lasting impact on the survivors’ quality of life. Treatment decisions and clinical outcomes depend strongly on the size, spread and location of the haematoma. Non-contrast CT (NCCT) is the primary neuroimaging modality for haematoma assessment in haemorrhagic stroke diagnosis. Current procedures do not allow convenient NCCT-based haemorrhage volume calculation in clinical settings, while research-based approaches are yet to be tested for clinical utility; there is a demonstrated need for developing effective solutions. The project under review investigates the development of an automatic NCCT-based haematoma computation tool in support of accurate quantification of haematoma volumes.PCHT, AWNIH-DHC Simon Fraser University, Fraser Health | Scientific Excellence - Advancing Knowledge | 2021-05-24 | | | Combination Theta-Burst Stimulation and Cognitive Training for Youth Depression.AWNIH-DHC Simon Fraser University | Scientific Excellence - Advancing Knowledge | 2019-05-30 | "Lee, J.C ", "Knyahnytska, Y. ", "Dhami, P. ", "Blumberger, D.M. ", "Daskalakis, Z.J. ", "Courtney, D. ", "Croarkin, P.E. ", Sylvain Moreno, "Farzan, F. " | | WP6 Face to face meeting (in Winnipeg, Manitoba)6.1 MEN-ASSESS, 6.2 COG-ASSESS, 6.3 PAIN CARE, 6.4-S1 SPEECH-ASSESS, 6.5-CAT, 6.6-CAT, 6.7-CAT, 6.8-SIP A1, AWNIH-DHC University of Alberta, University of Toronto, University of Regina, Toronto Rehab Institute, The KITE Research Institute at University Health Network, Toronto Rehab Institute, University Health Network, Bruyère Research Institute, Simon Fraser University, Toronto Rehab Institute/University of Toronto, Bruyere Research Institute | Networking and Partnerships | 2017-10-18 | Lili Liu, Eleni Stroulia, Mark Chignell, Thomas Hadjistavropoulos, Babak Taati, Frank Rudzicz, Frank Knoefel, Zahra Moussavi, Sylvain Moreno, Andrea Wilkinson, Tiffany Tong, Peyman Azad-Khaneghah, Victor Fernandez, Dillam Romero, Azin Asgarian, Ahmed Ashraf, Natasha Gallant, Erin Browne, Caroline Ethier, Christine Daum |
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