不良研究所

2021-2022 Competition

Winners and Finalists

The 5th Annual 不良研究所 Clinical Innovation Competition and Awards Ceremony took place virtually on May 10, 2022.

To watch the video recording of the event, .

And the 2022 top teams are:

Winner of the Hakim Family Innovation Prize

SeeSpine

SeeSpine Team

SeeSpine is a telehealth application leveraging 3D imaging and artificial intelligence for scoliosis. SeeSpine allows patients and physicians to screen for scoliosis and monitor progression remotely. From a simple 15-second video taken on any smartphone, SeeSpine reconstructs a model of the torso to quantify asymmetries and predict curve progression. SeeSpine鈥檚 radiation-free technology allows for frequent observations to decrease scoliosis progression and the associated breast cancer risks.

Evan Dimentberg, MD/MSc Candidate, Faculty of Medicine, Universit茅 Laval
Jean Ouellet, MD, Pediatric Spine Surgeon, Orthopedic Surgery, 不良研究所

Winner of the First Marika Zelenka Roy Innovation Prize

AFX Medical

AFX Medical TEam

AFX Medical was co-founded by Simon Ducharme, MD, with the objective to leverage AI for the development of products that improve clinical care in brain disorders. Using a unique dataset from a tertiary care hospital, AFX Medical uses innovative deep learning-based methods to develop an algorithm that automatically detects and tracks brain metastases on brain MRI. The results demonstrate a high accuracy with a low rate of false positives. This product aims to improve clinical care at reduced costs.

Gabriel Chartrand, Chief Technology Officer, AFX Medical
Simon Ducharme, Associate Professor, Department of Psychiatry, Douglas Mental Health University Institute and Montreal Neurological Institute
Ram贸n Emiliani, R&D Developer, AFX Medical
J茅r茅mi Lavoie, Chief Executive Officer, AFX Medical
Sophie Pawlowski, Head of Partnerships, AFX Medical
Edward Son, R&D Developer, AFX Medical

Winner of the Second Marika Zelenka Roy Simnovation Prize

Holo-Ray

Holo-Ray team

Holo-Ray is an integrated cloud-based platform leveraging mixed-reality technology for education, diagnosis, and treatment planning for minimally invasive interventional procedures. Holo-Ray allows for mixed reality-based education, diagnosis, and treatment of patients who need a minimally invasive interventional procedure.

Renzo Cecere, MD, Department of Surgery, 不良研究所
Amir Hooshiar, PhD, Department of Surgery, 不良研究所
Amir Sayadi, MSc, Department of Surgery, 不良研究所

Winner of the First-Place MI4 Innovation Prize

SALIVERA

SALIVERA team

SALIVERA, led by Prof. Mahshid鈥檚 lab, is targeted for molecular diagnosis of respiratory infections like COVID-19 and Influenza A/B via colorimetric detection of RNA in the saliva of the patients in a multiplex and automated fashion. SALIVERA maintains the accuracy of the gold standard (PCR), while reducing the cost, time (<10 minutes turn around) and complexity of the assay by incorporating automated sample collection, preparation and detection modules in one single device.

Tamer Abdelwahab, PhD candidate, Department of Bioengineering, 不良研究所
Sara Mahshid, Professor, Department of Bioengineering, 不良研究所
Roozbeh Siavash Moakhar, PhD, Department of Bioengineering, 不良研究所

Winner of the Second-Place MI4 Innovation Prize

ApsenBio

AspenBio Team

ApsenBio has developed a food allergen detection device (FADD) designed for public use. This device will give the individuals who are concerned about food allergies (for themselves or their loved ones) the long-needed tool to overcome their daily challenge of avoiding allergenic foods.

Robert Hanna, Director of Business Innovation, ApsenBio
Reza Rasouli, PhD Candidate, Biomedical Engineering, 不良研究所
Mariam Saad, PhD Candidate, Natural Resource Sciences, 不良研究所
Emre Yurdusev, PhD Candidate, Microbiology, INRS, Centre Armand-Frappier Sant茅 Biotechnologie

Winner of the Bereskin & Parr Innovation Prize

Precare

Precare team

Precare is a digital platform that produces equitable patient education content, improves patient engagement and health outcomes, and optimizes care pathways with AI.

Raphael Gotlieb, CEO & Founder, Precare
Ali Mehrkish, MD, Chief Technology Officer, Precare
Gabriel Schnitman, MD, Chief Scientific Officer, Precare
Sena Turkdogan, MD, Chief Medical Officer, Precare

Congratulations also to our finalist teams:

AnkaSmart!

AnkaSmart! Team

AnkaSmart! is a novel IoT (Internet of Things) solution for young women and gender diverse populations globally. It democratizes access to personalized sexual, reproductive, and menstrual health (SRHR MH) care and linked clinical services, while providing evidence-based information on taboo SRHR MH topics. With a cloud connected wearable device, it collects data on necessary vitals to customize care. Finally, it aims to empower young people to make smart decisions and become advocates for their health and wellness.

Roni Deli-Hussein, Research Assistant and MD Candidate, Department of Medicine, 不良研究所
Nitika Pant Pai, MD, MPH, PhD, Principal Investigator, Department of Medicine, 不良研究所
Olivia Vaikla, Laboratory Coordinator and Part-time Project Manager, Research Institute of the 不良研究所 Health Centre
Elizabeth (Liz) Woolhouse, Research Assistant and Nursing Student, Research Institute of the 不良研究所 Health Centre

Ponder Therapeutics

Ponder Therapeutics is a prescription digital therapeutics company for psychiatric disorders related to anxiety, chronic disease, and medical procedures. Their Software as a Medical Device (SaMD) applications deliver therapeutic content that is developed by clinical psychologists, transformed into audiovisual media, and maximizes engagement through goal setting, progress tracking, and data visualization. Ponder Therapeutics values evidence, quality, privacy, and security.

Luisa Cameli, Clinical Psychologist, Department of Psychology, 不良研究所
Jesse Ehrlick, Program Officer, Biomedical Engineering, 不良研究所

TrustCare

TrustCare Team

TrustCare provides an AI-driven solution that facilitates the real-time information flow through the senior care process. With innovative technology and video input, TrustCare's system reveals the real-time information about the senior's daily status and emergency cases, helping care staff at care facilities and family members deliver immediate and high-quality care.

Ruofeng Li, Electrical and Computer Engineering, 不良研究所
Shilei Lin, Computer Science, 不良研究所
Manoosh Samiei, Electrical and Computer Engineering, 不良研究所
Lulan Shen, Electrical and Computer Engineering (Ph.D.) & School of Communication Sciences & Disorders (RA), 不良研究所
Abdulrahman Takiddeen, Electrical and Computer Engineering, 不良研究所
Shicheng Xu, Biomedical Engineering, 不良研究所
Yitian Zhang, Electrical and Computer Engineering, 不良研究所

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