Artificial Intelligence (AI) is playing an integral role in the evolution of medical diagnostics. If medical diagnoses can be automated, it will reduce the burden on health care systems & help doctors deliver the best possible patient care.
Around a third of all healthcare AI SaaS companies are focusing on diagnostics, making it one of the most significant focus areas in the field[1]. Companies are using AI-chatbots, algorithms, machine vision, facial recognition software, and more to form potential diagnoses, prevent disease, and/or recommend an appropriate course of action.
Join us on February 21st to hear from a few companies that are currently using AI to diagnose, or help diagnose, different diseases. This will be followed by a panel discussion focused on the future of diagnosis using AI, how it would impact clinicians and health care systems approach diagnostics, how companies can make money in this space and more.
[1] https://www.techemergence.com/machine-learning-medical-diagnostics-4-current-applications/
As Head of Johnson & Johnson Innovation, JLABS in Canada, Allan is responsible for external engagement, innovation sourcing, company onboarding, portfolio management, operational excellence, educational programming and P&L. He catalyzes and supports the translation of science and technology into valuable solutions for patients and consumers across the pharmaceutical, medical device, consumer and healthtech sectors.
Working with PMCC, Techna, UHN Digital, and the Vector Institute Dr. Wang’s role is to build and lead the AI team for developing new machine-learning approaches, and integrating them into the care of patients with heart and vascular diseases.
Dr. Wang’s research areas are machine learning, computational biology and computer vision. He recently obtained his PhD from the Department of Computer Science at Stanford University, and has extensive academic and industrial research experience at SickKids and at leading companies such as Illumina and Genentech. His PhD work covers statistical methods for solving problems in computational biology with an emphasis on integrative cancer analysis and single-cell analysis.
Dr. Wang’s role represents a unique partnership between UHN and the Vector Institute for Artificial Intelligence. He will be appointed as a Techna Scientist and act as Lead AI Scientist for PMCC, joining PMCC’s burgeoning AI team that includes data scientists, data engineers, and PMCC clinicians.
Senior Scientist in Genetics and Genome Biology
SickKids Research Institute
Associate Professor, Department of Computer Science
University of Toronto
Dr Goldenberg is a Senior Scientist in Genetics and Genome Biology program at the SickKids Research Institute, an Associate Professor in the Department of Computer Science at the University of Toronto, faculty member and health lead at Vector and a fellow at the Canadian Institute for Advanced Research (CIFAR), Child and Brain Development group. Dr Goldenberg trained in machine learning and statistics at Carnegie Mellon University, with a post-doctoral focus in computational biology and medicine. The current focus of her lab is on developing machine learning methods that capture heterogeneity and identify disease mechanisms in complex human diseases as well as developing risk prediction and early warning clinical systems. She was recently awarded an Early Researcher Award from the Ministry of Research and Innovation and a Canada Research Chair in Computational Medicine as well as a Varma Family Chair in Biomedical Informatics and Artificial Intelligence. She is strongly committed to creating responsible AI to benefit patients across a variety of conditions.
Dr. Sonny Kohli is a practising Canadian Internist and Critical care physician, and faculty at McMaster University. His desire to improve access to healthcare – deepened by his global volunteer experiences – inspired him to co-found Cloud DX, a Kitchener-based company utilizing unique sensors and raw data analytics to tackle grand challenges in health care. Sonny and Cloud team DX were recently bestowed with the “Bold Epic Innovator” award in the Qualcomm Tricorder XPRIZE competition for their Vitaliti solution. He is formerly a Canadian Space Agency astronaut candidate, trained Flight Surgeon and alumnus of the International Space University, where he was a member of a team that tested and deployed the IRIS experiment on the International Space Station.
