Ieuan Clay

Lecturer

ETH Zürich

Switzerland

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Ieuan Clay is a Lecturer at ETH Zurich, Switzerland. His research interests encompass digital health applications, patient-centric measures in clinical trials, and the assessment of physical behavior in the context of chronic diseases. Recent publications include studies on well-being in cancer survivors, digital measures in Alzheimer's drug development, and innovative approaches to measuring health-related quality of life.

Ieuan Clay

Research Interests

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Articles (16)

Do Measures of Real-World Physical Behavior Provide Insights Into the Well-Being and Physical Function of Cancer Survivors? Cross-Sectional Analysis

Patient-centricity in digital measure development: co-evolution of best practice and regulatory guidance

Reverse Engineering of Digital Measures: Inviting Patients to the Conversation

Measuring What Is Meaningful in Cancer Cachexia Clinical Trials: A Path Forward With Digital Measures of Real-World Physical Behavior.

Editorial: Multimodal digital approaches to personalized medicine.

Capturing Measures That Matter: The Potential Value of Digital Measures of Physical Behavior for Alzheimer's Disease Drug Development.

The Case for the Patient-Centric Development of Novel Digital Sleep Assessment Tools in Major Depressive Disorder.

RWD-Cockpit: Application for Quality Assessment of Real-world Data

Measuring Health-Related Quality of Life With Multimodal Data: Viewpoint

Advancing digital health applications: priorities for innovation in real-world evidence generation

Predicting Changes in Depression Severity Using the PSYCHE-D (Prediction of Severity Change-Depression) Model Involving Person-Generated Health Data: Longitudinal Case-Control Observational Study

Sensor Data Integration: A New Cross-Industry Collaboration to Articulate Value, Define Needs, and Advance a Framework for Best Practices

The Future of Digital Health: Meeting Report

Evaluation, Acceptance, and Qualification of Digital Measures: From Proof of Concept to Endpoint

Characterizing COVID-19 and Influenza Illnesses in the Real World via Person-Generated Health Data

Assessment of Fatigue Using Wearable Sensors: A Pilot Study

Collaborators (7)

Alison Keogh

Christopher Bull

Katarzyna Wac

Benjamin Vandendriessche

Erik Schkommodau

Simon Reif

Benjamin Smarr

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