INSIGHTS ON CLINICAL TRIAL TECHNOLOGIES

  • Reducing Complexity In Lupus Clinical Studies

    Lupus is a complicated disease, characterized by an aggregation of symptoms, which can vary from patient to patient and makes diagnosis difficult. For clinical research, this variability in the manifestation of the disease also increases complexity of data collection. Documentation requirements for a lupus research study are extensive – far more than a typical patient medical chart. And data variability can obscure the ability to detect improvement in disease activity.

  • What Level Of Evidence Is Needed To Evaluate Biomarkers And Measurements?

    During this virtual presentation from the 2020 Digital Biomarkers & Digital Measurements Summit, industry thought leaders from ActiGraph, Atlantic Council, Elektra Labs, and NeuroLogica answer key questions around the evaluation and evidence required to select digital clinical measures.

  • Understanding International Data Transfer’s Impact

    The landscape of data privacy is certainly dynamic and, at times, imposing. In particular, transferring data across borders can be difficult to navigate. Does your journey to responsible and compliant data governance seem daunting? This blog post explores some of the data privacy implications and their impact on research.

  • Objective Scratch Assessments Using Digital Health Technologies (DHTs)

    This white paper explores how an objective scratch measure is now achievable through the use of wrist-worn wearable technology that is both non-invasive and easy to implement.

CLINICAL TRIAL TECHNOLOGY SOLUTIONS