Les Rencontres Santé Numérique
24 février 2020 - Conférence de Dr Reza Forghani, Département de radiologie, McGill University
Artificial Intelligence Applications in Healthcare and Life Sciences: Pushing the Boundaries.
There is great interest in applications of AI in life sciences and especially in healthcare. Although this technology has great potential for future transformation of healthcare processes, there are major basic and structural barriers in our healthcare system and research processes that need to be recognized and overcome for successful research and development and especially development of AI applications that will be adopted and can succeed in clinical practice. In this presentation, I will provide an overview of the Augmented Intelligence & Precision Health Laboratory’s vision for a multi-disciplinary collaborative facility to help accelerate development and implementation of different medical AI tools. This will include a high-level discussion of structural challenges, opportunities, as well as some of the major projects and initiatives being undertaken by the laboratory.
24 février 2020 - Conférence de Mathieu Blanchette, Centre McGill de Bioinformatique, McGill University
Learning from watching genomes evolve
The genomes of more than one hundred vertebrate genomes are now largely sequenced. How can one make use of this massive amount of evolutionary information to better understand the origin and function of portions of the human genome? In this talk, I will first discuss how the genomes of ancestral mammalian species can be reconstructed with surprisingly high accuracy from the genomes of extant species. I will then present how inferred ancestral sequences can be used to improve the detection of ancient evolutionary events such as transposable element and pseudogene insertions that have shaped mammalian genomes. Finally, I will then introduce algorithmic and machine learning approaches that make use of inferred ancestral DNA sequences to improve the accuracy of transcription factor binding site and micro-RNA target site prediction.
18 novembre 2019 - Conférence de David Buckeridge, Faculté de Médecine, McGill University
A Population Health Perspective on Artificial Intelligence
There is great excitement about the potential for artificial intelligence to affect health. To date the Most Impressive applications of AI in health-have-been in clinical medicine, Such As the development of predictive models based are medical images. Applications of AI in health population, HOWEVER, Fewer-have-been. In this presentation, I will present a perspective is how AI can-have an impact is health population. I will begin by Describing health population, along with key considerations in population health Such As equity, and Identifying Opportunities AI. Through examples in clinical and community contexts, Then I Will Illustrate thesis Opportunities along with challenges to population Advancing health through the implementation of AI.
18 novembre 2019 - Conférence de Elie Bou Assi, Epilepsy Research Laboratory of Dr. Nguyen Dang K. (CHUM)
Artificial intelligence for better management of refractory epilepsy
Epilepsy is one of the most prevalent neurological diseases, affecting nearly one percent of the world population. Today, although more than two thirds of epilepsy patients respond adequately to drug treatments or be candidates for resection surgery, a significant proportion of epilepsy patients must live with persistent attacks, disabling and unpredictable. During my presentation, we will discuss how our team is exploring the use of signal processing techniques and artificial intelligence in order to improve the management of patients with refractory epilepsy.