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Have an iPhone and Live in the U.S.? Join this Virtual Research Study About Periods and Women’s Health. Click here to learn more and enroll: bit.ly/2N3PRkZ. #menstruation #PCOS #periods #Menopause Shruthi Mahalingaiah Harvard T.H. Chan School of Public Health Anne Marie Jukic Harvard Biostatistics

A beautiful reminder of the #womeninAMIA leadership program this year. The last 10 months have been such an inspirational & educational journey and I’m so impressed by all the other scholars! #WIAlead #WomenInSTEM #AMIA

Our work at CHIP Informatics on ”Measuring Real-Time Medication Effects from EEG” received a special shoutout thia morning when ACNS announced the Young Investigator Award winners. Honoured to be selected for this award!

We’re excited to welcome Dr. Aarti Sathyanarayana (Aarti Sathyanarayana) for today’s #DBMISeminar (1 pm ET). She will present on "Digital Phenotyping: Quantifying human health with low, medium and high frequency data streams.” Everybody is invited! ➡️ dbmi.columbia.edu/dbmi-seminar/

I'm excited to announce that my group has relaunched the @beiweplatform website in preparation for the release of Forest, our library for cloud-based analytics and visualization of high-throughput smartphone data. #digitalphenotyping Harvard Biostatistics 1/3 beiwe.org

Forest complements Beiwe, our data collection platform, and has been years in the making with contributions from numerous Onnela Lab students and postdocs along the way. Please follow along at Beiwe Research Platform for updates. 2/3

Among others, Beiwe has been used to study individuals with mood and central nervous system disorders; it has been used to assess postoperative activity and capture recovery after cancer surgery; and it has been used to quantify mobility and quality of life of spine patients. 3/3

Hello, Twitter world! We'll be tweeting here with updates related to the Beiwe Platform, Forest, the Onnela Lab, and all things #digitalphenotying.

If you’re interested in #digitalhealth, #wearables, or #EEG, my recent seminar to Columbia DBMI is posted online now!

Our recent paper shares our work in pursuit of understanding the connection between sleep and an increased likelihood of seizures. We observe decreased complexity in brain electrodynamics during sleep. #clinicalneurophysiology #digitalhealth #sleepscience

If you're using commercial wearables for research, this might be of interest to you. Exporting data from a fixed time period, at different points in time, doesn't give you the same data. This is why Beiwe Research Platform collects raw data. More details here: beiwe.org/exporting-the-…

Another successful book club. Thank you Carl Zimmer!

WATCH LIVE: Former U.S. national security adviser Ben Rhodes joins Northeastern CSSH's Mai'a K. Davis Cross 🇭🇰 to discuss America's role in the world. 📆: TODAY 🕕: 6 p.m. EDT 📍: ISEC ➡️: bitly.com/39owtKq

A thought-provoking article about defining and achieving success - part of Harvard Catalyst’s Career Catalyst mentorship program curriculum this month. Very much worth the read! hbr.org/2004/02/succes… Harvard Business Review

Research on human activity recognition using smartphones is booming! We have summarized its most important bits and pieces in our paper just published in npj Journals Digital Medicine: rdcu.be/czVSJ

We're sold out for in-person seats but virtual ones are still available for our all-day November 5 health data science symposium "Smartphones, Wearables, and Health." projects.iq.harvard.edu/cnoc-symposium… Harvard Data Science Initiative Harvard Biostatistics Harvard T.H. Chan School of Public Health Brigham and Women's Hospital

Scrubbing in on the future of FHIR based interop with CHIP #AMIA2021

#OpenAccess! Sathyanarayana et al. examine whether the effect of #antiseizure medication on patients with #epilepsy can be quantitatively measured in real-time from #EEGs in our new work here: bit.ly/3sVdfWT #ClinNeurophys Boston Children's CHIP Informatics Harvard Medical School ACNS

Thank you to Bouvé College of Health Sciences at Northeastern and Northeastern News for highlighting our (CHIP Informatics, Ken Mandl, @wjbosl & Tobias Loddenkemper) recent work aiming to find a digital biomarker for epileptogenicity by analyzing EEGs from pediatric long-term monitoring.