Our Mission

iMD Research aims to better healthcare by developing cutting edge AI-driven medical devices.

Our Mission
Services

Our Services

  1. We help healthcare stakeholders design and develop AI-driven intelligent medical devices
  2. We service healthcare providers (e.g. clinics, hospitals, nursing homes, etc.) with AI-driven medical devices and software
  3. We collaborate with companies who would like to enter or navigate the complex AI-Medtech space

iMD Innovation Labs

Roughly 40 million mammograms are taken each year in North America. Radiologists use them to look for tumors. Yet, the images received often have missing breast tissue or other deficits because the breast was not properly positioned in the mammogram. A recent study conducted by iMD Research revealed 44% of mammograms had invalid positioning.

iMD Research is supporting the development of an AI classifier that can identify invalid breast positioning in real time and allow proper exams to be taken every time.

Team
Mammography AI

About 1% of adults have schizophrenia, most of whom will have auditory hallucinations. These hallucinations cause distress and are debilitating. New augmented reality approaches allow patients to emulate the voices they hear and create an image of the entity speaking. Along with the guidance of a licensed therapist, this allows patients to define and begin to control the voices they hear.

iMD Research along with MEDTEQ, NSERC and research teams at McGill Faculty of Engineering and the Douglas Mental Health Institute is supporting the development of an augmented reality platform that helps patients with auditory hallucinations.

Team
VR in Psychiatry

The worldwide COVID-19 pandemic placed historical levels of operational stress on hospitals, nursing homes and public health entities. People who test positive for the virus are sent home and asked to self-confine. Public health agents contact them on a daily basis to get (subjective) information on their health. A remote vital sign monitor detects temperature, SPO2, Heart Rate, Respiratory Rate and Blood Pressure. It helps detect sudden increases in temperature and respiratory distress in older patients living in nursing homes or patients who test positive and self-confine.

iMD Research is supporting the development of a small wireless ambulatory vital sign monitor in partnership with the Faculty of Engineering of McGill University, Faculty of Engineering of Université Laval, and with the funding support of MITACS and NSERC.

Team
Vital Sign Monitoring

Obstructive Sleep Apnea (OSA) is a debilitating condition that affects approximately 13% of males and 6% of females in North America and 40% of persons with obesity. While the gold standard treatment is the CPAP, these devices have notoriously poor compliance rates. Alternate treatments include lower bulk intraoral devices called mandibular advancement devices (MADs) that move the lower jaw forward and facilitate breathing. Studies show that MADs are non-inferior to CPAPs for mild-to moderate OSA. Yet, no device exists that can track sleep parameters and inform patients and doctors about treatment efficacy. iMD Research in partnership with JACOBB, the McGill Faculty of Engineering and supported by MEDTEQ, NSERC and the MEI is developing the first intelligent MAD that uses sensors to monitor sleep parameters and AI to detect various conditions.

Team
Sleep Apnea AI

iMD Core Team (Full-time Employees)

Paul Amsellem
Paul Amsellem

CEO

Paul Amsellem is the former CEO of Nokia France and an experienced technology investor who has brought two companies public.

Nathaniel Lasry, PhD
Nathaniel Lasry, PhD

Founder & CTO

Nathaniel Lasry is the founder of iMD Research and its current scientific director

Olivier Cohen
Olivier Cohen

VP-marketing

Laurence Cohen, DPharm
Laurence Cohen, DPharm

Clinical Pharmacist & Project Manager

Laurence was a clinical pharmacist in Paris and is our lead project manager

iMD Support Team (Part-time Employees)

David Abitbol
David Abitbol

Senior Strategist, Software Architect

David is a co-founder of iMD Research, our senior business strategist and lead software architect

Naomi Malka
Naomi Malka

Research Coordinator, McGill Medical School

Naomi is a medical trainee that oversees all new incoming projects and charts out short-term operations and medium-term roadmaps.

Lamin Juwara, MSc
Lamin Juwara, MSc

Biostatistician, PhD intern McGill University

Lamin is the biostatistician in charge of analyzing data for all ongoing medical research projects

Vital Sign Monitoring Team

Arjun Umashankar
Arjun Umashankar

Research Assistant, UI/UX Designer & Developper

Arjun Umashankar is an intern with 3 years of industry experience in UI/UX, creating user interfaces that elicit great experience. He has experience in Machine Learning, Computer Vision and Virtual Reality as a Multimedia Student. Arjun is looking into UI/UX responsibilities for the Vital Signs project.

Naimur Rahman Jeem
Naimur Rahman Jeem

Graduate Research, Student ML/AI Researcher

Naimur Rahman has over 5 years of experience in software development. He is interested in data science & artificial intelligence/machine learning. Naimur is currently the team lead for the Vital Signs Project.

Jianfei (Jeff) Ma
Jianfei (Jeff) Ma

Graduate Research Student, Developer

Jianfei (Jeff) is an intern with experience in Software Development, Data Processing and Machine Learning. Jianfei is working as a Software and Database developer for the Vital Signs monitor.

Mohammad Ishtiaque Hossain
Mohammad Ishtiaque Hossain

Graduate Research Student, ML/AI Researcher

A passionate Multimedia Research enthusiast, Ishtiaque Hossain’s primary interest lies in Machine Learning, Deep Learning and Data Science. He also has industry experience working as a Network and Technology Specialist. Ishtiaque is responsible for the software and ML development for the Vital Signs monitor.

Dr. Seyedfakhreddin Nabavi
Dr. Seyedfakhreddin Nabavi

Postdoctoral Fellow, McGill University

Dr. Nabavi’s research interests and technical skills include the design and modeling of MEMS sensors and actuators for industrial and biomedical applications, the design of analog circuits such as sensor interfaces, and power management systems. Dr. Nabavi is the lead designer of the current vital sign electronic platform.

Shibam Debbarma
Shibam Debbarma

PhD student, McGill University

Shibam is a doctoral intern with excellent knowledge of electronic systems and circuit design. He has keen interests for integrated circuits design and biomedical signal processing.

Dr. Aref Pourzadi
Dr. Aref Pourzadi

Postdoctoral Fellow, McGill University

In 2019, Dr. Pourzadi joined the Center for Intelligent Antenna and Radio Systems, University of Waterloo, Canada as mmWave IC design research associate. He is currently a postdoctoral intern in charge of miniaturizing the current electronic platform.

Olivier Tsiakaka, PhD
Olivier Tsiakaka, PhD

Postdoctoral Fellow, Université Laval

Olivier Tsiakaka, is a postdoctoral intern who obtained his Ph.D. degree in Electronic Engineering in 2018 from Sorbonne Université, Paris, France. He is in charge of implementing a high-precision photoplethysmographic microsensor and a calibration method.

Fereidoon Hashemi Noshahr, PhD
Fereidoon Hashemi Noshahr, PhD

Postdoctoral Fellow, Université Laval, Quebec City, Canada

Fereidoon Hashemi Noshahr is a postdoctoral intern who obtained his Ph.D. degree in Electrical Engineering in 2020 from École Polytechnique Montréal. He is in charge of developing and testing a robust and inexpensive 3D integration strategy based on silicon interposers.

Quentin Mascret
Quentin Mascret

Quentin Mascret is a PhD intern who is designing, implementing and testing a high-precision motion sensor using ultra-small electronic components.

Guillaume Bilodeau
Guillaume Bilodeau

Guillaume Bilodeau is a PhD intern at Université Laval. He will design, fabricate and test a custom integrated electrocardiographic recording front-end and a bio-impedance monitoring module in CMOS.

Sleep Apnea AI Team

Dr. Seyedfakhreddin Nabavi
Dr. Seyedfakhreddin Nabavi

Postdoctoral Fellow, McGill University

Dr. Nabavi’s research interests and technical skills include the design and modeling of MEMS sensors and actuators for industrial and biomedical applications, the design of analog circuits such as sensor interfaces, and power management systems. Dr. Nabavi is the lead designer of the current vital sign electronic platform.

Shibam Debbarma
Shibam Debbarma

PhD student, McGill University

Shibam is a doctoral intern with excellent knowledge of electronic systems and circuit design. He has keen interests for integrated circuits design and biomedical signal processing.

Dr. Aref Pourzadi
Dr. Aref Pourzadi

Postdoctoral Fellow, McGill University

In 2019, Dr. Pourzadi joined the Center for Intelligent Antenna and Radio Systems, University of Waterloo, Canada as mmWave IC design research associate. He is currently a postdoctoral intern in charge of miniaturizing the current electronic platform.

Dr Jesse Cohen, DDS
Dr Jesse Cohen, DDS

Dr Jesse Cohen is a dental surgeon and clinician. He is in charge of protecting the intellectual property related to the intelligent mandibular advancement device

Mammography AI Team

Laurent Azoulay
Laurent Azoulay

PhD, Epidemiologist, researcher, McGill University professor

Dr. Laurent Azoulay is an Associate Professor in the Department of Epidemiology, Biostatistics and Occupational Health and Gerald Bronfman Department of Oncology, McGill University. Dr Azoulay was instrumental in designing and developing the metrics to assess the validity of positioning in mammograms. His work and continued support are instrumental in the development of the Artificial Intelligence classifier of positioning.

Michael Dugdale
Michael Dugdale

Michael Dugdale is a professor of physics and Deep Learning expert. He is responsible for having developed two independent convolutional neural networks to classify the validity of breast positioning in mammograms

Eugene Vorontsov
Eugene Vorontsov

Eugene Vorontsov is a Machine Learning specialist from trained at MILa. With Kyle Goyette he is responsible for having built a 4-channel classifier to detect invalid positioning of breast in mammograms.

Kyle Goyette
Kyle Goyette

Kyle Goyette is a Machine Learning specialist from trained at MILa. With Eugene Vorontsov he is responsible for having built a 4-channel classifier to detect invalid positioning of breast in mammograms.

Roland Riachi
Roland Riachi

Roland Is a computer science intern that has helped to clean and restructure data to enable the training of neural networks.

Mixed Reality in Psychiatry Team

Dr. Antoine-Weill Duflos
Dr. Antoine-Weill Duflos

PhD, Post-doctoral fellow,

Antoine Weill--Duflos, PhD. is a Post-doctoral fellow in the Shared Reality Lab, haptic guru and lab’s resident expert in Docker/GPU.

Yongjae Yoo
Yongjae Yoo

PhD, Post-Doctoral Fellow in Electrical and Computer Engineering, Shared reality laboratory McGill University

Yongjae Yoo, Ph.D. (’19), is a McGill Postdoc in Electrical and Computer Engineering. He is a specialist in haptics and human-computer interaction (HCI), has been working on various haptics-related research projects such as this mixed reality platform to treat hallucinations.

Clara Dutcher
Clara Dutcher

Master’s student in Computer and Electrical Engineering, McGill University

Clara Ducher is a graduate student at McGill in Electrical & Computer Engineering, specializing in Deep Learning and Human Computer Interaction.

Hyejin Lee
Hyejin Lee

Graduate student researcher in Electrical and Computer Engineering., McGill University

Hyejin Lee, a McGill graduate intern in Electrical and Computer Engineering. Working on Human-Computer Interaction and Augmented or Virtual Reality.

Preeti Vyas
Preeti Vyas

Graduate Student Researcher in Electrical and Computer Engineering, McGill University

Graduate intern working on Haptics, Human-Computer Interaction, and Human-Robot Interaction.

Funding partners

Academic partners

News

November 2020

Check out these news stories about us on

Contact Us

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.