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Marcin Straczkiewicz

Research Associate

Harvard T.H. Chan School of Public Health

United States

Research Interests

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Articles (17)

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2026

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Collaborators (9)

Megan Huisingh-Scheetz

Associate Professor

University of Chicago

UNITED STATES

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Nancy Glynn

University of Pittsburgh

UNITED STATES

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Jukka-Pekka Onnela

Harvard University

UNITED STATES

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Alexi Wright

Associate Professor

Harvard University

UNITED STATES

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Francisco Perales

Griffith University

AUSTRALIA

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Jaime Hart

Associate Professor

Brigham and Women's Hospital

UNITED STATES

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Mateusz Daniol

Assistant Professor

AGH University of Krakow

POLAND

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Ruben van Eijk

Associate professor

UMC Utrecht

NETHERLANDS

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Daniel S. Rubin

University of Chicago Medicine

UNITED STATES

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Marcin Straczkiewicz

Research Interests

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Articles (17)

Rethinking Digital Outcome Measures for ALS Trials: Consensus Priorities for Actigraphy Harmonization, Validation, and Regulatory Readiness (Preprint)

Change in walking cadence as a digital outcome measure of clinically meaningful improvement in gait speed and 6-minute walk test distance after a mobility intervention in older adults

Exploratory analysis of smartphone-based step counts as a digital biomarker for survival in ALS patients

Short prescribed exercises can quantify upper limb functioning in neurodegenerative disease

A Smartphone Application to Measure Walking Cadence before Major Abdominal Surgery in Older Adults

A Combined Machine Learning and Deep Learning Framework for Transportation Mode Recognition from Smartphone Data

Unequal strides to longevity. The extra mile to health equity

Analytical and clinical validation of step counting method in people living with amyotrophic lateral sclerosis

Smartphone-Based Measures as Indicators of Functional Status in Patients With Advanced Cancer

Measuring Environmental and Behavioral Drivers of Chronic Diseases Using Smartphone-Based Digital Phenotyping: Intensive Longitudinal Observational mHealth Substudy Embedded in 2 Prospective Cohorts of Adults

Free-living monitoring of ALS progression in upper limbs using wearable accelerometers

Tracking amyotrophic lateral sclerosis disease progression using passively collected smartphone sensor data

Upper limb movements as digital biomarkers in people with ALS

Open-Source, Step-Counting Algorithm for Smartphone Data Collected in Clinical and Nonclinical Settings: Algorithm Development and Validation Study

A "one-size-fits-most" walking recognition method for smartphones, smartwatches, and wearable accelerometers

Validation of an open-source smartphone step counting algorithm in clinical and non-clinical settings

Wearable device and smartphone data quantify ALS progression and may provide novel outcome measures

Collaborators (9)

Megan Huisingh-Scheetz

Nancy Glynn

Jukka-Pekka Onnela

Alexi Wright

Francisco Perales

Jaime Hart

Mateusz Daniol

Ruben van Eijk

Daniel S. Rubin

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