The Accelerating Innovations into CarE (AICE) – Concepts Program is designed to enable and accelerate early-stage innovators along the commercialization client journey from ideating to conceptualizing across four domains of commercialization. The first stream addresses three priority areas within precision health. The table below contains details of eleven leading Alberta-based researchers and their projects. The projects in concert aim to optimize clinical decisions and maximize health benefits by accelerating the commercialization of health technologies. Total value for all eleven projects is ~ $11 million with ~ $5.7 million (51%) contributed from Alberta Innovates. Projects will run from March 2021 to June 2024.
Lead Applicant | Project Title | Contact |
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Cathy Lu, MD, UCalgary | Proteomic Biomarkers and Intestinal Ultrasound; Innovative Tools to Differentiate Fibrostenotic from Inflammatory Crohn’s Disease | Website |
Dominic Sauvageau, PhD, UAlberta | Mediation of gut microbiomes with ghost phages as alternatives to antibiotics | Website |
Gerald Zamponi, PhD, UCalgary | A new therapeutic target for precision treatment of chronic pain | Website |
John Lewis, PhD, UAlberta | Personalized Cancer Vaccines using the Fusogenix Genetic Medicines Platform | Website |
Kumaradevan Punithakumar, PhD, UAlberta | Advancing Cardiac Disease Diagnosis with Robotic Multiview Echocardiography Fusion and Machine Learning | Website |
Marie-Claire Arrieta, PhD, UCalgary | BiomeBLOOM – Digital bedside technology to detect healthy microbiome maturation in premature infants | Website |
Peter Salat, MD, UCalgary | Opportunistic Screening of Subject-Specific Fracture Risk | Website |
Roger Zemp, PhD, UAlberta | Next Generation Ultrafast 3D Ultrasound Array Technology for Automated Cardiovascular Screening | Website |
Shabir Barzanjeh PhD, UCalgary | Quantum Scanner for Biomedical Diagnostics | Website |
Steven Greenway, MD, UCalgary | Aorta-specific methylation patterns in cell-free DNA for the non-invasive diagnosis of aortopathy in humans | Website |
Yunyan Zhang, MD, PhD, UCalgary | A novel machine learning framework for optimizing personalized treatment decisions in multiple sclerosis | Website |