Dataset Information

The digital biomarker discovery pipeline: An open-source software platform for the development of digital biomarkers using mHealth and wearables data.

ABSTRACT:

Introduction

Digital health is rapidly expanding due to surging healthcare costs, deteriorating health outcomes, and the growing prevalence and accessibility of mobile health (mHealth) and wearable technology. Data from Biometric Monitoring Technologies (BioMeTs), including mHealth and wearables, can be transformed into digital biomarkers that act as indicators of health outcomes and can be used to diagnose and monitor a number of chronic diseases and conditions. There are many challenges faced by digital biomarker development, including a lack of regulatory oversight, limited funding opportunities, general mistrust of sharing personal data, and a shortage of open-source data and code. Further, the process of transforming data into digital biomarkers is computationally expensive, and standards and validation methods in digital biomarker research are lacking.

Methods

In order to provide a collaborative, standardized space for digital biomarker research and validation, we present the first comprehensive, open-source software platform for end-to-end digital biomarker development: The Digital Biomarker Discovery Pipeline (DBDP).

Results

Here, we detail the general DBDP framework as well as three robust modules within the DBDP that have been developed for specific digital biomarker discovery use cases.

Conclusions

The clear need for such a platform will accelerate the DBDP's adoption as the industry standard for digital biomarker development and will support its role as the epicenter of digital biomarker collaboration and exploration.

SUBMITTER: Bent B

PROVIDER: S-EPMC8057397 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Publications

The digital biomarker discovery pipeline: An open-source software platform for the development of digital biomarkers using mHealth and wearables data.

Bent Brinnae B Wang Ke K Grzesiak Emilia E Jiang Chentian C Qi Yuankai Y Jiang Yihang Y Cho Peter P Zingler Kyle K Ogbeide Felix Ikponmwosa FI Zhao Arthur A Runge Ryan R Sim Ida I Dunn Jessilyn J

Journal of clinical and translational science 20200714 1

<h4>Introduction</h4>Digital health is rapidly expanding due to surging healthcare costs, deteriorating health outcomes, and the growing prevalence and accessibility of mobile health (mHealth) and wearable technology. Data from Biometric Monitoring Technologies (BioMeTs), including mHealth and wearables, can be transformed into <i>digital biomarkers</i> that act as indicators of health outcomes and can be used to diagnose and monitor a number of chronic diseases and conditions. There are many ch ...[more]

PMID: 33948242

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Dataset Information

The digital biomarker discovery pipeline: An open-source software platform for the development of digital biomarkers using mHealth and wearables data.

Introduction

Methods

Results

Conclusions

Publications

The digital biomarker discovery pipeline: An open-source software platform for the development of digital biomarkers using mHealth and wearables data.

Similar Datasets

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