The 6th Annual 不良研究所 Clinical Innovation Competition and Awards Ceremony took place on May 11, 2023.
To watch the video recording of the event,聽.
Congratulations to all of our winners and finalists!聽聽
Image by Owen Egan/Joni Dufour.
Winner of the Hakim Family Innovation Prize
PL Signals
Lung fibrosis is a serious chronic and progressive disease with limited treatment options. TGF-beta is a potent pro-fibrotic factor, and its excessive action plays a central role in lung fibrosis. We have developed a novel anti-fibrotic biologic that traps TGF-beta with high specificity and efficiently reduces lung fibrosis in preclinical models and in vitro in patients鈥� fibrotic cells.
Anie Philip, Department of Surgery, Faculty of Medicine and Health Sciences, 不良研究所 Shikha Chawla, Department of Surgery, Faculty of Medicine and Health Sciences, 不良研究所 Kenneth Finnson, Department of Surgery, Faculty of Medicine and Health Sciences, 不良研究所 Jini John, Department of Surgery, Faculty of Medicine and Health Sciences, 不良研究所 Tenzin Kungyal, Department of Surgery, Faculty of Medicine and Health Sciences, 不良研究所
Image by Owen Egan/Joni Dufour.
Winner of the First Marika Zelenka Roy Innovation Prize
CoreSlicer
CoreSlicer is a cloud-based AI platform that automates the measurement of frailty and body composition from clinically available medical images (CT, MRI, ultrasound). The insights provided by CoreSlicer empower clinicians to individualize the care of vulnerable older patients to prevent postoperative complications, fatal adverse events, and emergency readmissions.
Jonathan Afilalo, MD, MSc, Principal Scientist, Jewish General Hospital, 不良研究所 Philippe Marchandise, Lead Developer Ding Yi Zhang, Data Scientist & Medical Student Zara Vajihi, Machine Learning Engineer Magueye Diagne, Data Engineer Jeremie Abitbol, Strategic Analyst Ibrahim Mohamed, Full-Stack Developer Robert Viengkhou, Interface Designer Louis Mullie, MD, MSc, Prior Member Marc Afilalo, MD, Clinical Scientist
Image by Owen Egan/Joni Dufour.
Winner of the Second Marika Zelenka Roy Simnovation Prize
PeTIT VR聽
PeTIT VR (Pediatric Trauma Innovative Training) is a virtual reality course designed to enhance the skills of healthcare students and providers in pediatric trauma care. By leveraging the immersive and interactive nature of virtual reality technology, PeTIT VR is able to provide a unique and effective training experience that increases the quality of care and safety for pediatric trauma patients.
Fabio Botelho, MD, Experimental Surgery, Faculty of Medicine and Health Sciences, 不良研究所 Dan Poenaru, MD, Experimental Surgery, Faculty of Medicine and Health Sciences, 不良研究所 Elena Guadagno, MLIS, Division of Pediatric Surgery, Montreal Children's Hospital Hamed Ranjbar , MSc, Experimental Surgery, Faculty of Medicine and Health Sciences, 不良研究所
Image by Owen Egan/Joni Dufour.
Winner of the First-Place MI4 Innovation Prize
聽 聽& the聽Bereskin & Parr Innovation Prize
BacPen DIAGNOSTIC
BacPen DIAGNOSTIC is a medical device start-up focused on a real-time point-of-care approach for diagnosing bacterial infections. They have developed a technology using electrochemistry that allows detection and specifically quantification for bacteria and other biological moieties in liquid and solid specimens.
Geraldine Merle, Professor, Biomedical Engineering, Polytechnique Edward Harvey, Professor, Department of Surgery, Faculty of Medicine and Health Sciences, 不良研究所 Raphael Trouillon, Assistant Professor, Electrical Engineering, Polytechnique
Image by Owen Egan/Joni Dufour.
Winner of the Second-Place MI4 Innovation Prize
Curaforge
Curaforge aims to provide a low-cost and innovative solutions to make the stethoscope safer for healthcare workers and ultimately prevent healthcare worker exposure in the form of a medical device.
Sean Seltzer, Medical Resident, Faculty of Medicine and Health Sciences, 不良研究所
Congratulations also to our finalist teams:
Image by Owen Egan/Joni Dufour.
CapmAI
CapmAI is a leading provider of AI-based diagnostic solutions for capsule endoscopy. Their goal is to minimize diagnostic errors, increase efficiency for gastroenterologists, and accurately identify the location of disease.
Puja Pachchigar, Faculty of Medicine and Health Sciences student, 不良研究所 Pranay Dixit, Business and Administration, John Molson School of Business, Concordia University Emile Normand, Software Engineering, 脡cole de technologie sup茅rieure聽 Xiang Chen Zhu, Computer Sciences, Concordia University
Image by Owen Egan/Joni Dufour.
MedTQ
The current standard tourniquet consists of a strip of fabric fastened about a hemorrhaging limb, and a windlass to mechanically augment tightening. However, inappropriate tourniquet application, either in terms of applied pressure or excessive duration, may lead to ischemia, nerve palsy, exsanguination, and possibly amputation. SmartTQ addresses these issues by incorporating a vessel occlusion sensor and timer to monitor these salient parameters, providing key data to soldiers and doctors.
Ludovic Mouttet, Experimental Surgery student, 不良研究所 Romy Philip, Experimental Surgery student, 不良研究所 Lora Tzaneva, Experimental Surgery student, 不良研究所 Gabriella Spacagna, Experimental Surgery student, 不良研究所 Quentin Bodineau, Engineering student, 脡cole Technologie Sup茅rieure Victoria Peuriot, John Molson School of Business student, Concordia University
Image by Owen Egan/Joni Dufour.
SPINORT
SPINORT is an algorithm driven smart garment that manages and prevents recurrent mechanical low back pain. The device captures personal motion and muscle activity data and calculates the amount of near-infrared energy needed to stimulate the deep back muscles and correct the spine posture, and as such improve physical movement.
Antonia Arnaert, Associate Professor, Ingram School of Nursing, 不良研究所 Swajan Paul, PhD student, Department of Experimental Surgery, 不良研究所 ZoumananDebe, Research Associate, Ingram School of Nursing, 不良研究所
