Please join Origent at the 27th International Symposium on Amyotrophic Lateral Sclerosis and Motor Neurone Disease in Dublin Ireland, December 7th-9th, 2016.

Origent’s work will be featured during the conference in the following presentations and posters:

Presentation C106: In Silico Block Randomization of ALS Patients Using a Machine Learning Algorithm

Presented by Dr. James D. Berry, MD, MPH (USA, Unit Chief of Massachusetts General Hospital ALS Multidisciplinary Clinic)

Friday Dec. 9, 12:00-12:15pm; Clinical Session 10B

Poster P201: Predicting Disease Progression for ALS Clinic Patients

Collaborators: Christina Fournier, Meraida Polak, and Jonathan D. Glass (Emory University, Atlanta, GA, USA), and Neta Zach (Prize4Life, Haifa, Israel)

Poster P202: In silico Stratification of ALS Patients using Machine Learning Algorithms

Poster P203: Machine Learning Model for the Prediction of Slow Vital Capacity

Collaborators: Amy Bian, Lisa Meng, and Jinsy Andrews (Cytokinetics, Inc., South San Francisco, CA, USA)

Poster P197: ALS Resistance is Regional and Not Explained by Demographics, Medications or Labs

Collaborator: Rick Bedlack, VA and Duke University Medical Centers – Durham NC, USA

Poster P199: The Proper Use of Historical Controls in ALS Trials

Collaborators: David Schoenfeld, Eric Macklin, and Nazem Atassi (Massachusetts General Hospital Biostatistics Center and Harvard Medical School, Boston, MA, USA), Robert Küffner (Helmholtz Zentrum, Munich, Germany), Daniel H Moore (California Pacific Medical Center, San Francisco, CA, USA) and Neta Zach (Prize4Life, Tel Aviv, Israel)

Poster P331: Novel Trial Design in a Clinical Study of Diaphragm Pacing (DPS) for ALS

Collaborators: Dan H. Moore and Liberty Jenkins (Forbes Norris ALS/MDA Research Center, San Francisco, CA) and Robert G. Miller (Forbes Norris ALS/MDA Research Center and Stanford University, Department of Neurology and Neurological Sciences)

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