Science Blog

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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RSRT Partners with VivoSense to Develop Digital Biomarkers

Posted by Dudley Tabakin on March 17, 2020


Image Source: RSRT, Randol Family

VivoSense announces a series of new collaborations with the Rett Syndrome Research Trust (RSRT) to develop digital biomarkers that better assess the symptoms of Rett syndrome, focusing on autonomic dysfunction and other difficult-to-evaluate symptoms. The goal in developing these digital biomarkers is to better quantify and understand symptom impact on everyday life and to assess new treatments accurately.

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VivoSense® Plays Vital Role in Respiratory Monitoring in Infants

Posted by Alexa Williamson on March 5, 2020

Severe respiratory disease is one of the leading causes of infant illness and death worldwide. There is a significant upward trend of clinical infant respiratory studies, including the investigation into respiratory success in ventilated infants, SIDS, and neurological disorders that affect the normal respiratory pattern. In this article, we discuss how noninvasive respiratory monitoring and VivoSense® software helps researchers collect and analyze respiratory data for clinical studies focused on infant and neo-natal breathing patterns.

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Physician Biometric Data Analysis Helps Improve Patient Outcomes

Posted by Dudley Tabakin on February 27, 2020

The pace, pressures, work-life balance, and emotional aspects of a physician’s job put them at risk for burnout. A study by the American Medical Association and Mayo Clinic found that burnout rates were particularly increased for specialty practitioners. Drs. Nicholas Slamon and Rob Parker, pediatric ICU physicians at Nemours/Alfred I. duPont Hospital for Children in Wilmington, DE, used VivoSense® and real-time biometrics of physician stress to study its effects on the care of pediatric patients.

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VivoSense® Used to Explore HRV as a Biomarker of Obesity

Posted by Lindsey Ungerman on February 13, 2020

San Diego State University’s Clinical Psychology research group and the Drexel University WELL Center joined forces using VivoSense® to investigate Heart Rate Variability (HRV) and its link to obesity, binge eating, and loss of control while eating. Specifically, the study examined the association between HRV and binge eating and change in HRV from a resting to a stressed task as a potential marker of emotional regulation capacity in obese individuals.

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Analyzing Integrated Data From Multiple Physiological Sensors

Posted by Angela Ghazialam on January 30, 2020

Here’s an example of how a clinical research team studying stuttering respiratory patterns and other biosignals used VivoSense® software to integrate a multitude of wearable physiological sensor data, manage signal artifacts and produce robust data analysis.

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