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Attend the APCaRI 2018 fall symposium!

APCaRI Fall Symposium Oct. 26 to 27, 2018, Banff, Alberta

2018 APCaRI Fall Symposium – Knowledge, Action, Impact

On October 26 – 27, 2018 APCaRI will celebrate its 11th research meeting at the Banff Park Lodge, in Banff, Alberta. Previous fall symposia have had over 60 participants participating in this fun and enriching event, including clinicians, scientists, clinical research personnel, trainees, benefactors and representatives of PCa support groups. Plan on attending the 2018 Fall symposium to discuss and share ideas and enjoy the beautiful Rockies!

Please submit your abstracts to Rume at djebah@ualberta.ca. Please let Rume know as soon as possible if you cannot attend. The APCaRI Fall symposium is generously supported by the Alberta Cancer Foundation and its’ donors

Dates to remember:

Trainee abstract submission deadline is September 10

Registration deadline is September 14

Submit abstracts to djebah@ualberta.ca.

APCaRI Fall symposium site- Banff Park Lodge
Banff Park Lodge

 

 

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goes to...APCaRI member Russ Greiner Posted on Jun 15 21 at 7:51pm
Participation Milestone! Posted on May 29 21 at 6:12pm
Raja Singh Posted on Apr 30 21 at 12:24pm

goes to…APCaRI member Russ Greiner

Image of DREAM challenge winners, Russ Greiner pictured on far left.

Dr. Russ Greiner, Canada CIFAR AI Chair, Fellow-in-Residence at Amii, University of Alberta Professor, and APCaRI member, received the CAIAC Lifetime Achievement Award announced at the Canadian AI Conference on May 27, 2021. This the highest honour bestowed by CAIAC, given in recognition to researchers who have distinguished themselves through outstanding research excellence in AI during the course of their academic career. APCaRI congratulates Russ Greiner for his well-deserved CAIAC Lifetime Achievement Award!

“Using machine learning techniques to produce effective, evidence-based personalized treatment”

The main foci of Russ Greiner’s current work are (1) bioinformatics and medical informatics; (2) learning and using effective probabilistic models and (3) formal foundations of learnability. He has published over 200 refereed papers and patents, most in the areas of machine learning and knowledge representation, including 4 that have been awarded Best Paper prizes.

One of these four papers was an entry into an international machine learning competition hosted by DREAM, an open-science effort dedicated to improving health and health care through crowdsourcing problem-solving. DREAM’s challenge was to develop an algorithm to predict which prostate cancer patients would respond to certain treatments and which would follow the medication regimen. The algorithm could be used by clinicians to help chose the best treatment plans for the patient.

Greiner and a team of students tied for the top place in the competition against over 50 teams from around the world. Then the winners collaborated to create an even better solution to the problem!

 

 

 

 

 

 

- Perrin Beatty