
Jacek K. Urbanek
@jurbane2
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Director, Biostatistics, Regeneron Pharmaceuticals, Inc. #WearableTech
Baltimore, MD
Joined April 2018
RT @npjDigitalMed: Data from wearables can characterize daily physical activity and its change over time in persons with Amyotrophic Latera….
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RT @npjDigitalMed: A single approach that can recognise walking with a variety of body-worn devices regardless of walking style, sensor loc….
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RT @JHSPH_Hearing: Pablo Martinez Amezcua, MD, PhD, MHS has joined the Cochlear Center faculty as an Assistant Professor in the @JHSPHEpiDe….
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RT @YujiaQiao: Our novel accelerometry-based measure-The Pittsburgh Performance Fatigability Index (PPFI)-is published @MSSEonline! Open up….
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RT @NancyWGlynnPhD: Happening now! Pitt Public Health Dean’s Day. Doctoral student Susanna presenting the novel Pittsburgh Performance Fat….
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RT @BandeenKaren: Just to say how privileged I feel for our @jhubiostat faculty, staff, students, fellows, & alumni! Congratulations to you….
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RT @wu_xiao1993: U.S. News published its first-ever ranking of doctoral programs in biostatistics. Career opportunities are expected to gro….
usnews.com
Explore the best graduate programs in America for studying Biostatistics.
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RT @vadimZip: Congratulations to @Debangan07 with a phenomenal defense! Really looking forward to seeing you keep doing a groundbreaking wo….
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RT @DrAiLynTan: Taking more #steps per day is associated with progressively lower risk of all-cause mortality 👣👣👣. Meta-analysis.👉🏽 https://….
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RT @PiotrZelasko: New paper about a somewhat unusual application of ASR: using it to guess what sounds exist in languages that the ASR has….
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RT @UPMCnews: Feeling fatigued? A new @PittPubHealth study shows the Pittsburgh Fatigability Scale predicts likelihood of death in older pe….
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Many thanks to @jenschrack @martakarass @spjuraschek @AmalForResearch @CaiYurun Christine Mitchell, David Roth, and Larry Apple for supporting this work on free-living mobility measured by #wearables.
academic.oup.com
AbstractBackground. Wearable devices have become widespread in research applications, yet evidence on whether they are superior to structured clinic-based
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In our most recent manuscript, we have shown that free-living gait characteristics extracted from wrist-worn accelerometry data can predict future falls in older adults better than the in-clinic assessment of mobility #Wearables #WearableTech.
Researchers used wrist monitors to observe mobility and physical activity for seven days for older adults ages 70 and up who have a history of falls. #wearables #wearabletech @jhu_coah @geronsociety @OxfordJournals
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