International Symposium

Apr 24 - Apr 25, 2018

2018 International Symposium for Tissue Phenomics

2018 Symposium Sessions: Artificial Intelligence Multiplexing Mechanisms of Disease Machine Learning Confirmed Speakers: Julien Adam (Institute Gustave Roussy) Famke Aeffner (Amgen) Mara Aspinall (GenePeeks) Simone Bianco (IBM) Peter Caie (University of St. Andrews) Christopher Heery (Bavarian Nordic) Bob Kinders (NIH) Kenneth Lacovara (Rowen University) Pam Ohashi (UHN Research) Davd Rimm...
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Apr 25 - Apr 26, 2017

2017 International Symposium for Tissue Phenomics®

Presentations of the 2017 International Symposium for Tissue Phenomics are now available Discover a new perspective. Breakthroughs in the fight against cancer come from seeing its full expression. Why your peers are attending: This is a must attend if you are passionate about translational immuno-oncology and learning how big data...
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Apr 26 - Apr 27, 2016

2016 International Symposium for Tissue Phenomics®

“The annual Symposium has become an institution for professionals in the biopharma industry seeking to move the needle on personalized medicine. Significant advancements are being made with Tissue Phenomics, and this event, which brings together some of the greatest minds in the industry, is critical to continuing the dialogue, collaboration...
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Oct 17 - Oct 18, 2014

The International Symposium for Tissue Phenomics

At the 2014 International Symposium for Tissue Phenomics™, attendees enjoyed expert presentations on immuno-oncology and big data, valuable panel discussions, and excellent networking with peers and other industry experts. Highlights Keynote addresses by Nobel Laureate Dr. Gerd Binnig and Dr. Carlo Bifulco Thought-leading presentations by industry experts Extensive networking with...
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May 13 - May 15, 2013

4th International Definiens Symposium - Boston 2013

The Symposium opened with two days of plenary lectures at the Joseph B Martin Conference Center on the Harvard Medical School Campus. Topics focused on advancing drug development and the future of digital pathology and image analysis.
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