Science Blog

Commonly Used Wearable Sensors in Clinical Trials

Posted by Patrick Hankey on August 4, 2020

Wearable sensors provide sophisticated insights into patients’ real-world behavior and functioning in clinical trials and healthcare settings. Drug development researchers, regulators, payors, and patients want to see meaningful, valid insights enabled by them. In this guide, we break down the following commonly used wearable sensors: including what they do, their benefits, and other important considerations for incorporating them into your clinical trial:

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Getting Started Using Wearable Sensors for Clinical Research

Posted by Patrick Hankey on July 23, 2020

Wearable sensors and digital technology offer great potential in understanding the patient experience in clinical trials. The collection of rich data, captured in real-world settings, provides deep insights into our understanding of medical treatment effects. With so many factors to consider, however, it is no simple task to make this choice. Here are some key considerations for getting started using wearable sensor data collection for clinical research.

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Developing Digital Biomarkers Post Covid-19

Posted by Dudley Tabakin on July 9, 2020

The 3rd Annual Digital Biomarkers in Clinical Trials Summit hosted by Roche was the virtual place to be in June, bringing together 250+ global thought leaders and experts. They shared insights on developing and improving the way pharma clinical trials utilize mobile-enabled, wearables, and IoT capabilities to augment existing biomarker strategies, improve patient experience, and collect better data.

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Benefits of Using Wearable Sensors in Clinical Trials

Posted by Dudley Tabakin on June 26, 2020

The study of human health in real-world, everyday environments is necessary to advance knowledge and discovery. Wearable sensors make this possible by providing customized body-worn monitoring and analysis solutions that are rooted in scientific foundations. Here’s an infographic highlighting the advantages using wearable technologies in your clinical trials.

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Good Data is Essential in Digital Biomarker Development

Posted by Dudley Tabakin on June 4, 2020

Good data is more important than big data in the development of digital biomarkers. Big data is often sold as the solution to all digital data analyses and touted to revolutionize healthcare in the coming years. However, the problem with a superabundance of data is that digital biomarker development becomes a fishing expedition, and the catch may not be relevant to the question. Without a hypothesis (often the case in biomarker development with big data), accurate results may be too low to use in a clinical trial, or even worse, divergent with no findings.

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Digital Biomarker Discovery: All for One, Not One for All

Posted by Kate Lyden on May 21, 2020

When it comes to the development and discovery of novel digital biomarkers in clinical trials, one size does not fit all. Patrick Hankey, our head of strategic business development, sums up the problem very well when he explains, “If you have seen one clinical trial, you have seen one clinical trial.” In this article, we describe what we mean by “one size does not fit all” within the context of digital biomarker discovery and provide examples of how this principle is particularly relevant to the validation of wearable sensor solutions.

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US Marine Corps Studies HRV to Predict PTSD Using Wearable Sensor Data

Posted by Dudley Tabakin on May 14, 2020

Here’s an example of how a clinical research team used hypothesis-driven research methods to discover HRV (Heart Rate Variability) associations with stress disorder symptoms in Marines. VivoSense® software was used to analyze the data collected, ensuring that unusable artifactual data was removed to allow for more accurate findings.

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Digital Biomarker Discovery Must be Hypothesis-Driven

Posted by Kate Lyden on May 6, 2020

The first guiding principle to the development and discovery of novel digital biomarkers is hypothesis-driven research. In this article, we will describe our approach and provide examples of how we use this principle to ensure robust digital biomarker development.

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4 Key Principles to the Foundation of Digital Biomarker Development

Posted by Dudley Tabakin on April 9, 2020

The future of clinical trials involves real-world data collected from wearable sensors and connected technologies. Pharmaceutical companies are investing heavily in digital innovation; however, the adoption of digital biomarkers remains slow. To overcome the challenges associated with high frequency, real-world data, and for digital solutions to realize their potential in clinical trials, we must develop robust and systematic approaches to their use.

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Digital Biomarkers to Address COVID-19 Symptoms and Progression

Posted by Dudley Tabakin on April 2, 2020

The US and international effort to address the novel Coronavirus (COVID-19) pandemic is unprecedented. Experts from healthcare, public health, and policy are joining forces with experts in manufacturing and technology for the rapid deployment of innovative, lifesaving solutions. VivoSense, an expert in remote monitoring of physiological signals, is contributing to this effort through their advanced data analytics and Human Augmented AI platform.

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