Magnol.Ai — an Internet of Medical Things (IoMT) Platform for Digital Health Research

Over the past decade, the integration of digital technologies into clinical trials has fundamentally transformed the ability to monitor patients in real-time through wearable sensors, enabling the rapid capture of clinically relevant signals. This transformation has accelerated the development of medicines by providing faster, more objective measurements of therapeutic effects. Central to this technological shift is the Internet of Medical Things (IoMT) platform, with Magnol.Ai serving as a prime example. Magnol.Ai excels in continuously processing and converting vast amounts of digital data, including wearable sensor signals and electronic Patient-Reported Outcomes (ePROs), into actionable clinical insights for digital biomarker (dBM) research. Beyond its pivotal role in clinical research, Magnol.Ai demonstrates versatility as a scalable, real-time edge computing platform in other domains, such as real-time gait computing. By deploying advanced sensors and algorithms for real-time speed of movement tracking, Magnol.Ai underscores its capacity to support a broad range of applications within IoMT.

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Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/bigdata62323.2024.10825104
Citations
1
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.18
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article

Magnol.Ai — an Internet of Medical Things (IoMT) Platform for Digital Health Research

Guangchen Ruan, Regan Giesting, Leah Miller, Neel Patel et al.
1 citations
Non-Invasive Vital Sign Monitoring
0.18
article

Magnol.Ai — an Internet of Medical Things (IoMT) Platform for Digital Health Research

Guangchen Ruan, Regan Giesting, Leah Miller, Neel Patel, Roy Porter, Brian E. Winger, Bo Zhang, Hui Zhang, Wentao Li, Jian Yang, Ming Zhong, Hui Xiao, Roland Hartich, Andrew Kaczorek
article en
1 citations

Abstract

Over the past decade, the integration of digital technologies into clinical trials has fundamentally transformed the ability to monitor patients in real-time through wearable sensors, enabling the rapid capture of clinically relevant signals. This transformation has accelerated the development of medicines by providing faster, more objective measurements of therapeutic effects. Central to this technological shift is the Internet of Medical Things (IoMT) platform, with Magnol.Ai serving as a prime example. Magnol.Ai excels in continuously processing and converting vast amounts of digital data, including wearable sensor signals and electronic Patient-Reported Outcomes (ePROs), into actionable clinical insights for digital biomarker (dBM) research. Beyond its pivotal role in clinical research, Magnol.Ai demonstrates versatility as a scalable, real-time edge computing platform in other domains, such as real-time gait computing. By deploying advanced sensors and algorithms for real-time speed of movement tracking, Magnol.Ai underscores its capacity to support a broad range of applications within IoMT.

Eli Lilly (United States) (US)
Openalex Percentile: Top 49%
Non-Invasive Vital Sign Monitoring
0.18
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Magnol.Ai — an Internet of Medical Things (IoMT) Platform for Digital Health Research — Guangchen Ruan, Regan Giesting, et al. · (2024) | TGRS Research Map | TGRS