Predicting Wellness with an Algorithm and Application by Rohan Shanbhag of Achu Health

Charlotte Armstrong — Thu, 17 Sep 2020 20:29:54 +0000

Predicting Wellness with an Algorithm and Application by Rohan Shanbhag of Achu Health Charlotte Armstrong Thu, 09/17/2020 - 16:29

Rohan Shanbhag, VP of ML and AI Strategy, will be discussing how Achu Health has developed a personalized health and wellness platform driven by a proprietary machine learning algorithm on-device that uses passively collected biometric data from wearables to predict the onset of illness before symptoms appear. Achu Health aims to assess the scientific rigour of its technology to ensure that the evaluation can be backed by Health Science professionals in providing meaningful value to the end user.

About Achu Health

Achu Health, a health-tech AI startup founded in 2014 and based in Toronto, Canada, recognized the undeniable factors that play a role in the physical and mental health of individuals and consequently developed a mobile health platform aimed at making users aware of how specific trends in their passively collected biometric data can be indicative of illness onset. This aligns with their mission of promoting metricized health to invoke optimal living.

Originating on the Fitbit platform, Achu Health amassed 80,000 users organically which set the pace for exploring and developing an on-device machine learning solution.

Achu Health uses both objectively measured health data (e.g., heart rate, steps, sedentary time, sleep duration) from Apple Watch, subjectively assessed mental health data (e.g., stress, anxiety, tiredness) from prompted questions in the application, and environmental factors based on location (e.g., air temperature, air pressure, and humidity) to predict the onset of respiratory symptoms characterized by the common cold and flu before they appear completely on-device.

Registration is required.

Innovations and Challenges at a time of Pandemic

Charlotte Armstrong — Fri, 11 Sep 2020 15:53:23 +0000

Innovations and Challenges at a time of Pandemic Charlotte Armstrong Fri, 09/11/2020 - 11:53

The Centre for Bioengineering and Biotechnology is pleased to present the innovative work of Professor Alexander Wong.

Even when the innovation translation and commercialization is successful, unforeseen events such as the recent COVID-19 pandemic can lead to new challenges as well as opportunities for innovation. In this talk, we will highlight innovations made by the Vision and Image Processing Research Group and DarwinAI, a spin-off from the research group, in an open collaborative initiative for accelerating AI for clinical assistance in a time of pandemic. This talk will feature the journey from taking research innovation from the lab and turning it into an industrial reality holds many challenges, particularly when doing it through the launch a new tech startup.

Alexander Wong is currently the Canada Research Chair in Artificial Intelligence and Medical Imaging, Member of the College of the Royal Society of Canada, co-director of the Vision and Image Processing Research Group, a valued member of the Centre for Bioengineering and Biotechnology, and an associate professor in the Department of Systems Design Engineering at the University of ��ݮ��Ƶ. He has published over 550 refereed journal and conference papers, as well as patents, and have received numerous awards and recognitions for his research and teaching contributions. He is also the co-founder of DarwinAI, an award-winning AI company focused on accelerating deep learning development through explainable AI.

This event will be presented via Webex.

Link will be emailed to registrants before the event.

REGISTRATION REQUIRED

artificial intelligence

Predicting Wellness with an Algorithm and Application by Rohan Shanbhag of Achu Health

Innovations and Challenges at a time of Pandemic