News & Publications
EnsoData in the Press
From Virtual Nurses To Drug Discovery: 106 Artificial Intelligence Startups In Healthcare
February 3, 2017
Research Publications and Talks
"Computational Phenotyping In Polysomnography: Using Interpretable Physiology-Based Machine Learning Models To Predict Health Outcomes
Accepted talk and poster at SLEEP 2017, the Annual Meeting of the APSS, American Academy of Sleep Medicine (AASM), and Sleep Research Society (SRS), Boston, MA, June 3-7 2017.
"Sleep apnea: a review of diagnostic sensors, algorithms, and therapies"
Collaborating team members, accepted topical review for publication in the journal of Physiological Measurement, April 12 2017
"A modeling study on inspired CO2 rebreathing device for sleep apnea treatment by means of CFD analysis and experiment"
Collaborating team members, accepted for publication in Journal of Medical and Biological Engineering, December 13 2016
"Study on CO2 Rebreathing Device for Sleep Apnea Treatment by Means of CFD Analysis and Experiment"
Collaborating team members, accepted talk at the Biomedical Engineering Society Annual Meeting (BMES 2016), Minneapolis, MN, October 5-8 2016
NSF Award: Young Professionals Contributing to Smart & Connected Health
NSF funding to promote bright young data engineers and scientists to develop a new generation of technologies and data analytics for Smart and Connected Health. Awardee Mehdi Shokoueinejad, with EnsoData project team collaborators; Scoring Automation and Smart Wound Patch. Granted at EMBC'16, Orlando, FL, August 16-20 2016
"Sleep Scoring Automation Via Large Scale Machine Learning"
Accepted talk at the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’16), Orlando, FL, August 16-20 2016
SLEEP 2016 Annual Meeting
Attendees at SLEEP 2016, the Annual Meeting of the APSS, a joint venture of the American Academy of Sleep Medicine (AASM) and the Sleep Research Society (SRS), Denver, CO, June 11-15 2016.
"Leveraging Supervised, Active, and Deep Machine Learning Methods for Sleep Scoring Automation and Personalization"
Invited talk at the Center for Predictive Computational Phenotyping (CPCP), Madison, WI, Dec 8 2015
