Marcin Strączkiewicz (@mstraczkiewicz) 's Twitter Profile
Marcin Strączkiewicz

@mstraczkiewicz

Research Associate at Harvard TH Chan School of Public Health. @jponnela Lab member. Wearables, digital phenotyping, and physical activity.

ID: 1322206287262851078

calendar_today30-10-2020 15:58:50

46 Tweet

131 Followers

193 Following

ActiGraph (@actigraph) 's Twitter Profile Photo

Marta Karas from Harvard T.H. Chan School of Public Health presented her poster, “Wearable devices can track ALS disease progression and may serve as novel clinical trial outcome measures” #ADDS2022 @martakarass Harvard T.H. Chan School of Public Health

Marta Karas from Harvard T.H. Chan School of Public Health presented her poster, “Wearable devices can track ALS disease progression and may serve as novel clinical trial outcome measures”

#ADDS2022 @martakarass <a href="/HarvardChanSPH/">Harvard T.H. Chan School of Public Health</a>
Jukka-Pekka Onnela (@jponnela) 's Twitter Profile Photo

Openings for postdocs in my group! We're hiring in both areas: network science and digital phenotyping / smartphone data analytics / mHealth academicpositions.harvard.edu/postings/11794 academicpositions.harvard.edu/postings/11795 academicpositions.harvard.edu/postings/11848

Jukka-Pekka Onnela (@jponnela) 's Twitter Profile Photo

LAST CALL: Openings in my group in Harvard biostatistics for postdocs in 1) network community detection and 2) methods for analyzing smartphone / wearable / digital phenotyping data. academicpositions.harvard.edu/postings/11794 academicpositions.harvard.edu/postings/11795

Luca Foschini (@calimagna) 's Twitter Profile Photo

“We demonstrate that our method can estimate walking periods with high sensitivity and specificity: average sensitivity ranged between 0.92 and 0.97 across various body locations, and average specificity for common daily activities was typically above 0.95.” Jukka-Pekka Onnela et al.

npj Digital Medicine (@npjdigitalmed) 's Twitter Profile Photo

A single approach that can recognise walking with a variety of body-worn devices regardless of walking style, sensor location and configuration is presented in this paper to estimate walking time, cadence and step count. nature.com/articles/s4174…

A single approach that can recognise walking with a variety of body-worn devices regardless of walking style, sensor location and configuration is presented in this paper to estimate walking time, cadence and step count.

nature.com/articles/s4174…
npj Digital Medicine (@npjdigitalmed) 's Twitter Profile Photo

New article! Read Wearable device and smartphone data quantify ALS progression and may provide novel outcome measures dlvr.it/SkSVck in npj Digital Med

npj Digital Medicine (@npjdigitalmed) 's Twitter Profile Photo

Data from wearables can characterize daily physical activity and its change over time in persons with Amyotrophic Lateral Sclerosis, and were significantly associated with clinical patient reported outcome measures… a potential future digital endpoint? nature.com/articles/s4174…

Data from wearables can characterize daily physical activity and its change over time in persons with Amyotrophic Lateral Sclerosis, and were significantly associated with clinical patient reported outcome measures… a potential future digital endpoint? 

nature.com/articles/s4174…
Patrick Emedom-Nnamdi (@patemedom) 's Twitter Profile Photo

Hi friends! I’ve been busy working on a health tech startup, and we’re looking for our founding ML engineer. If you're passionate about building at the forefront of AI and are looking to make an outsized impact in healthcare, DM me!

Marcin Strączkiewicz (@mstraczkiewicz) 's Twitter Profile Photo

Proud to share our latest publication! Our team has developed a method to quantify disease progression in people with ALS using a single wrist-worn accelerometer. thelancet.com/journals/ebiom… #ALSResearch #DrugDevelopment #DHTs #Wearables

jhubiostat (@jhubiostat) 's Twitter Profile Photo

JD, who received his PhD from jhubiostat in 2019, is a Digital Medicine Statistician at Pfizer. Read more about Junrui's experience in our PhD program and his current work Pfizer Inc. in the link below. publichealth.jhu.edu/2024/junrui-di…

Li Yi, PhD (@liyispatial) 's Twitter Profile Photo

So happy to announce the first publication of exciting Nurses' Health Study 3 Harvard GUTS Beiwe substudy which we collected massive volume of smartphone GPS, accelerometer and survey data from 2,400 participants for over a year! Opens many doors for environmental epidemiology investigations!

Marcin Strączkiewicz (@mstraczkiewicz) 's Twitter Profile Photo

I’m happy to share our latest publication in the Journal of NeuroEngineering and Rehabilitation titled “Free-living monitoring of ALS progression in upper limbs using wearable accelerometers.” Full article available here: rdcu.be/d5Roh