SLEEP 2017 Recap

The EnsoData data science and executive teams just landed back in Madison following SLEEP 2017 in Boston, MA. This year’s conference was an exciting one for EnsoData and for the whole sleep industry.

To kick off the week in Boston our CEO and algorithm aficionado, Chris, gave a talk titled Computational Phenotyping in Polysomnography: Using Interpretable Physiology-Based Machine Learning Models to Predict Health Outcomes that was attended by hundreds of people. Chris presented data that suggests there is promising future in combining PSG data with longitudinal data collected by healthcare providers to predict critical health outcomes like patient mortality. Chris also shared the findings during a poster session. There was a buzz about the topic at the poster session and all week long at the EnsoData booth on the exhibit hall floor.

Speaking at SLEEP 17

Speaking of the exhibit hall, EnsoData spent most of Monday, Tuesday, and Wednesday meeting clinicians, researchers, and other sleep professionals at the EnsoData booth. The conference was the EnsoData’s first large-scale event since achieving FDA 510(k) clearance for EnsoSleep, and there was a tremendous level of excitement about the power of its sleep scoring automation. We look forward to getting in touch with everyone we met at the show and helping many new sleep clinics realize game changing time-savings by using EnsoSleep!

When not on the exhibit hall floor, our data scientists were attending lectures and discussions to stay in touch with the latest updates on the state of the sleep industry. Some common themes we saw:

EnsoData Booth at SLEEP 17

1. Sleep disorders are a global problem. We met sleep professionals from all over the world at the conference.
2. Data science and “the -omics” (including genomics, proteomics, metabolomics, etc.) are promising topics attracting lots of research attention around the world.
3. New diagnostics, therapeutics, and wearable technology are creating massive amounts of data and the sleep community is trying to understand its value through early Big Data research studies involving hundreds of thousands of patients’ physiological measures.
4. Everyone loves pineapples and pineapple stress balls.
Look out for deep dives on some of the topics the team found most exciting in future blog posts.

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