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Community Forum: AI and SaMD in Healthcare: From Compliance to Patient-Centred Innovation | ||
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Digital health technologies (DHTs), such as wearable accelerometers, are increasingly being adopted in clinical trials, as they enable objective and continuous evaluations of health parameters, functions and behaviours in the participant’s naturalistic environment. The continuous data stream provided by DHTs combined with artificial intelligence/machine learning (AI/ML) tools can lead to the identification of novel digital endpoints (NDEs) and measuring objective outcomes that are meaningful to patients. These NDEs can support clinicians with early diagnosis, prognosis, and personalised treatments of a wide range of diseases. To address the need to develop and validate NDEs before their large-scale deployment in clinical trials and gather evidence supporting their regulatory adoption, at Pfizer we have collected in-clinic and at-home data from hundreds of healthy volunteers across age ranges, spanning paediatrics to geriatrics, and device locations. In the first part of this presentation, considerations about the selection of fit-for-purpose DHTs and the validation of AI-driven algorithms for NDEs of gait and physical activity will be discussed as compared to standard measurements. Since understanding individual perception towards using new technologies is crucial for clinical adoption of NDEs, the evaluation of self-reported measures of usability, acceptability, and level of continued usage will also be addressed. Results suggest high reliability and accuracy of DHT-derived gait and physical activity endpoints, for example by effectively tracking walking at different speeds, while ensuring participants’ comfort in wearing DHTs. Finally, the deployment of the validated AI-driven digital biomarkers in clinical studies will be presented, with particular focus on older individuals at risk of frailty and malnutrition. This Community Forum will take place virtually on 16 June at 11:00 (EDT) / 16:00 (BST) / 17:00 (CEST)
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Data Transparency Autumn Event 2025 | ||
End-to-End RBQM Webinar: Value-Driven Clinical Data Review, Together | ||
Clinical data review is no longer just a technical checkbox – it’s a strategic, cross-functional effort that can make or break the success of a clinical trial. When teams collaborate across functions, align on risk, and focus on value-driven review, the result is more reliable, coherent and compliant trial data. In this session, we’ll explore how to move beyond traditional data cleaning by embracing a collaborative, risk-based approach. Learn how functional interdependencies – when properly understood and leveraged – can drive smarter, more efficient reviews. We’ll also host a dynamic roundtable featuring voices from big pharma, tech and CROs, who will share real-world insights, challenges, and best practices for building effective, cross-functional data review strategies. Whether you’re in data management, clinical operations, biostatistics, or a supporting function, this session will offer actionable strategies to foster collaboration and value-driven data review processes. This webinar will be held virtually on 26 June at 10:00 (EDT)/ 15:00 (BST) / 16:00 (CEST)
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If you would like to get involved in a PHUSE Working Group Project, please explore the projects via the Volunteer Board and contact the PHUSE Office on workinggroups@phuse.global to express your interest. |
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