Knijff, Janine M. Houdijk, Euphemia C.A.M. van der Kaay, Daniëlle C.M. van Berkel, Youri Filippini, Luc Stuurman, Frederik E. Cohen, Adam F. Driessen, Gertjan J.A. Kruizinga, Matthijs D.
Published in
Digital Biomarkers
Introduction: Clinical research and treatment of childhood obesity is challenging, and objective biomarkers obtained in a home-setting are needed. The aim of this study was to determine the potential of novel digital endpoints gathered by a home-monitoring platform in pediatric obesity. Methods: In this prospective observational study, 28 children ...
Lonini, Luca Moon, Yaejin Embry, Kyle Cotton, R. James McKenzie, Kelly Jenz, Sophia Jayaraman, Arun
Published in
Digital Biomarkers
Recent advancements in deep learning have produced significant progress in markerless human pose estimation, making it possible to estimate human kinematics from single camera videos without the need for reflective markers and specialized labs equipped with motion capture systems. Such algorithms have the potential to enable the quantification of c...
Page, Alex Yung, Norman Auinger, Peggy Venuto, Charles Glidden, Alistair Macklin, Eric Omberg, Larsson Schwarzschild, Michael A. Dorsey, E. Ray
Published in
Digital Biomarkers
Background: Smartphones can generate objective measures of Parkinson’s disease (PD) and supplement traditional in-person rating scales. However, smartphone use in clinical trials has been limited. Objective: This study aimed to determine the feasibility of introducing a smartphone research application into a PD clinical trial and to evaluate the re...
Landers, Matthew Dorsey, Ray Saria, Suchi
Published in
Digital Biomarkers
The assessment of health and disease requires a set of criteria to define health status and progression. These health measures are referred to as “endpoints.” A “digital endpoint” is defined by its use of sensor-generated data often collected outside of a clinical setting such as in a patient’s free-living environment. Applicable sensors exist in a...
Hadley, Aaron J. Riley, David E. Heldman, Dustin A.
Published in
Digital Biomarkers
Introduction: Parkinson’s disease (PD) is poorly quantified by patients outside the clinic, and paper diaries have problems with subjective descriptions and bias. Wearable sensor platforms; however, can accurately quantify symptoms such as tremor, dyskinesia, and bradykinesia. Commercially available smartwatches are equipped with accelerometers and...
Crouthamel, Michelle Mather, Robert J. Ramachandran, Suraj Bode, Kai Chatterjee, Godhuli Garcia-Gancedo, Luis Kim, Joseph Alaj, Rinol Wipperman, Matthew F. Leyens, Lada
...
Published in
Digital Biomarkers
The development of novel digital endpoints (NDEs) using digital health technologies (DHTs) may provide opportunities to transform drug development. It requires a multidisciplinary, multi-study approach with strategic planning and a regulatory-guided pathway to achieve regulatory and clinical acceptance. Many NDEs have been explored; however, succes...
Servais, Laurent Camino, Eric Clement, Aude McDonald, Craig M. Lukawy, Jacek Lowes, Linda P. Eggenspieler, Damien Cerreta, Francesca Strijbos, Paul
Published in
Digital Biomarkers
Background: Functional outcome measures used to assess efficacy in clinical trials of investigational treatments for rare neuromuscular diseases like Duchenne muscular dystrophy (DMD) are performance-based tasks completed by the patient during hospital visits. These are prone to bias and may not reflect motor abilities in real-world settings. Digit...
Chiauzzi, Emil Wicks, Paul
Published in
Digital Biomarkers
This viewpoint focuses on the ways in which digital medicine and measurement-based care can be utilized in tandem to promote better assessment, patient engagement, and an improved quality of psychiatric care. To date, there has been an underutilization of digital measurement in psychiatry, and there is little discussion of the feedback and patient ...
O’Brien, Megan K. Botonis, Olivia K. Larkin, Elissa Carpenter, Julia Martin-Harris, Bonnie Maronati, Rachel Lee, KunHyuck Cherney, Leora R. Hutchison, Brianna Xu, Shuai
...
Published in
Digital Biomarkers
Introduction: Difficulty swallowing (dysphagia) occurs frequently in patients with neurological disorders and can lead to aspiration, choking, and malnutrition. Dysphagia is typically diagnosed using costly, invasive imaging procedures or subjective, qualitative bedside examinations. Wearable sensors are a promising alternative to noninvasively and...
Balestra, Noah Sharma, Gaurav Riek, Linda M. Busza, Ania
Published in
Digital Biomarkers
Background: Prior studies suggest that participation in rehabilitation exercises improves motor function poststroke; however, studies on optimal exercise dose and timing have been limited by the technical challenge of quantifying exercise activities over multiple days. Objectives: The objectives of this study were to assess the feasibility of using...
