CIFAR Genetic Networks and Personalized Medicine Workshop Report

Symposium Debrief Genetic Networks 20.04.2017

On December 4, 2016, Fellows from CIFAR’s program in Genetic Networks held an introductory workshop with other clinical, academic and industry leaders to explore the challenges and opportunities in integrating genetic interaction based research into the field of personalized medicine. Workshop participants approached the topic from three perspectives: breaking research barriers, clinical challenges and opportunities, and the role of public and commercial institutions in genomic medicine. The following report summarizes the key discussion points raised during the workshop.

Read the full report

Leave a Comment

Your email address will not be published.

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <s> <strike> <strong>

Related Ideas

Video | Genetic Networks

Closing the gap between genotype and phenotype

In a couple of years sequencing your genome will cost less than a trip to the grocery store, explains Brendan...

Video | Genetic Networks

Medical Treatments Made Just for You

Over 60% of people will have a genetic disorder in their lifetime. Understanding the relationship between your genetics and disease...

Video | Genetic Networks

A new model for understanding gene mutations

When something in our genome changes, how does that show up in the rest of the system? Fritz Roth, Co-Director...

Video | Genetic Networks | Learning in Machines & Brains

Going Deep Into the Human Genome

CIFAR Fellow Brendan Frey’s start-up Deep Genomics is creating an AI system that allows us to look at our DNA...

Research Brief | Genetic Networks

A Global Genetic Network Charts the Functional Map of a Cell

A genetic map of a cell begins to explain how genes work together to coordinate cellular life. FOCUS OF STUDY...

News | Genetic Networks

Algorithm holds potential to change cell biology

A new deep neural network algorithm is promising to change the way cell biologists work.   The algorithm automatically analyzes...