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Reviewed by Kayleigh-Ann Clegg, PhD

Scientific News Editor @ JMIR Publications with a diverse background in clinical psychology, academic research, and digital health program development. I'm passionate about knowledge translation and accessibility, as well as data- and values-driven innovation. My goal is to make vital scientific knowledge clear and accessible to everyone so that we can better our lives and the world around us.

Nature Beyond Reality: Mapping Brain Restoration in Adult ADHD

Nature Beyond Reality: Mapping Brain Restoration in Adult ADHD

Exposure to natural environments is well documented to improve attention, reduce stress, and enhance psychological well-being. While virtual reality (VR) offers a portable, scalable way to simulate natural settings for urban or isolated populations, it remains unclear whether a virtual forest engages the brain and cognitive networks in the same way as the real world.

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Bridging the Clinical XR Gap

The Experience Gap: Better Appraisals for Clinical XR

Formative evaluation is a vital pillar of implementation science, used to identify early barriers to adoption before deploying new health technologies. Traditionally, this process relies on gathering stakeholders’ expectations through preuse questionnaires. While this works well for standard screen-based apps, it hits a bottleneck when applied to immersive systems like Extended Reality (XR).

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Blog post for Heart Rate at the Limit: Validating the Samsung Galaxy Watch 6 for Maximal Exercise

Heart Rate at the Limit: Validating the Samsung Galaxy Watch 6 for Maximal Exercise

As wearable technology becomes a staple in both fitness and clinical monitoring, the demand for high-accuracy heart rate (HR) tracking continues to grow. While most smartwatches perform well at rest, the real challenge lies in maximal-intensity exercise, where heavy movement and physiological stress can interfere with optical sensors.

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Clean Lab Data for Oncology

Fixing the Foundation: High-Fidelity Lab Data for Oncology Research

Real world data (RWD) is increasingly a key engine behind modern drug discovery and clinical decision making. However, anyone who has worked with electronic health records (EHRs) knows that this engine often relies on data that are fragmented and inconsistent. Laboratory results, which are the backbone of oncology care, are frequently plagued by inaccurate codes and missing units.

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