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Sensor Data Collection

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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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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How to Label Physiological Events to Discover Novel Digital Biomarkers

Posted by Dudley Tabakin on January 16, 2020

Scientists are increasingly relying on wearable sensors and machine learning to develop digital biomarkers. However, their successful development requires the identification of physiological events relevant to the disease state. Here's an overview of the method we use to accurately and efficiently label physiological events from biosignals collected from wearable sensors.

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Developing Digital Biomarkers in Clinical Trials and Healthcare Delivery

Posted by Patrick Hankey on May 1, 2017

The practice of medicine and medical research is undergoing a rapid digital revolution transforming healthcare into a science of data analytics. The term Digital Health has entered the lexicon as we increasingly understand and describe medicine in terms of data generated by wearable physiological sensors, genetic sequencing and medical imaging. Rock Health, a venture fund dedicated to the founding and growth of Digital Health companies, recently published a report on the data driven transformation of healthcare, in particular highlighting the urgent need to develop digital biomarkers. Digital biomarkers are the medical signal or signatures contained in the vast data sets generated by the ever increasing use of leading edge medical technologies.

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VivoSense® Provides the Solution to Accurate Volume Measures Derived from RIP

Posted by Dudley Tabakin on March 21, 2017

Respiratory inductance plethysmography (RIP) is a method for evaluating breathing characteristics by measuring the movement of the thorax and abdominal wall. RIP acquires respiratory data via two elastic bands placed around the rib cage (RC) and abdomen (AB), and thus, must be calibrated to provide accurate volume metrics.

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Vivonoetics to Provide Advanced Respiratory Assessment for SMA-1 Clinical Trial

Posted by Dudley Tabakin on January 24, 2017

Roche’s Firefish clinical trial will evaluate drug efficacy against respiratory muscle function and breathing patterns in infants treated for SMA.

Orange County, CA, January, 2017 – Vivonoetics Inc., developer of VivoSense® respiratory testing solutions, announced today that in partnership with Great Lakes NeuroTechnologies, they will be providing advanced respiratory assessment to the Roche FIREFISH study.

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