Real-World Measurement of Cognition and Mood in Frontline COVID-19 Healthcare Workers

Life Sciences, Clinical Trials, Healthcare, Healthcare Human Resources,
  • Wednesday, September 28, 2022

Passive data collection through wearable technology and smartphones is increasingly being used to capture health-related data in real-world settings. The Stress and Recovery in Frontline Healthcare COVID-19 Workers Study, conducted by 4YouandMe alongside multiple partners, used wearable devices and smartphone apps for the real-world measurement of stress, health and well-being of healthcare workers facing the frontline of the COVID-19 pandemic between March and December 2020.

In this webinar, the featured speakers introduce the stress and recovery study design approach and discuss a sub-analysis of this study conducted by 4YouandMe and Cambridge Cognition that focuses on real-world measurement of mood and cognition among the study participants. They will:

  • Explain the rationale behind the study
  • Describe the analytical approach including employing machine learning techniques
  • Explain how to create a participant-centred research project using wearables and decentralized trial techniques
  • Discuss the benefits of combining passive and active data collection

Register to gain insights into real-world measurement on mood and cognition with wearable devices in frontline COVID-19 healthcare workers.


Stephen Friend, President and Co-Founder, 4YouandMe

Dr. Friend is an authority in the fields of genetic resilience, cancer biology and digital health. A former geneticist at the Dana-Farber Cancer Institute and MIT (between 2014 and 2017), he worked for Apple on digital health.

He is a Co-Founder and President of 4YouandMe, the Founder and Chairman of Sage Bionetworks, and is a visiting professor of Connected Medicine at the University of Oxford.

Message Presenter

Sarah Goodday, Lead Research Scientist, 4YouandMe

Dr. Goodday is an epidemiologist specializing in social and psychiatric epidemiology and digital medicine, with expertise in mood disorders, suicide-related behaviours and early psychosocial determinants of mental health. Her current work focuses on leveraging remote digital technologies to better understand stress, health, mental health and well-being and their bio-psychosocial determinants in addition to building participant centric strategies for digital health research.

She completed a PhD in epidemiology at the University of Toronto and worked as a postdoctoral researcher in bioinformatics in the department of psychiatry at the University of Oxford. She is currently an Honorary Research Fellow in the Department of Psychiatry at the University of Oxford and is the Lead Research Scientist at 4YouandMe.

Message Presenter

Alex Anwyl-Irvine, R&D Scientist, Cambridge Cognition

Dr. Anwyl-Irvine completed his PhD at the MRC Cognition and Brain Sciences Unit, University of Cambridge, developing data-driven neuroimaging techniques for a big-data project on child development and socioeconomic status. Prior to this he worked at the University of Oxford and the University of Aberdeen on projects relating to attentional control and memory.

In addition to his work as a scientist, Alex has over a decade’s experience as a developer, including publishing open-source software packages.

Alex joined Cambridge Cognition in November 2021 as an R&D scientist, focusing on development of novel high-frequency assessments for episodic memory, analytical methods for time series cognitive & sensor data, unsupervised learning for baseline assessments and development of an R&D API.

Message Presenter

Who Should Attend?

Healthcare, research and clinical professionals and representatives from biotech, pharmaceutical, CRO and technology industries who are interested in the design of clinical trials involving wearables and passive data collection including:

  • Clinical Innovation
  • Clinical Operations
  • Digital Biomarkers
  • Digital Strategy
  • Drug Development
  • Medical Affairs
  • Patient Engagement
  • Virtual Trials
  • Passive Data Collection
  • Data Analysis
  • Machine Learning

What You Will Learn

Attendees will learn how to:

  • Approach setting up a study involving passive and active data collection in a real-world setting
  • Engage participants in digital health research
  • Develop an analytical framework for measuring mood and cognition using data captured from wearables and smartphone assessments
  • Discuss the benefits of combining passive and active data collection

Xtalks Partner

Cambridge Cognition

Cambridge Cognition is a technology company developing digital health products to better understand, detect and treat conditions affecting brain health. The Company’s software products assess cognitive health in patients worldwide to improve clinical trial outcomes, identify and stratify patients early and improve global efficiency in pharmaceutical and healthcare industries.

4YouandMe  are a non-profit aiming to empower individuals interested in sharing their own health related data and insights for the benefit of all.

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