Multiple sclerosis (MS) is a neurological disease of the central nervous system that is the leading cause of non-traumatic disability in young adults. Clinical laboratory tests and neuroimaging studies are the standard methods to…
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The trend involves telemedicine and IoT-connected wearable devices, expanding beyond remote consultations to a comprehensive approach to delivering patient care and treatment. In 2024, virtual hospital wards exemplify this trend, functioning as centralized hubs…
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Over the last ten years, there has been considerable progress in using digital behavioral phenotypes, captured passively and continuously from smartphones and wearable devices, to infer depressive mood. However, most digital phenotype studies suffer…
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Advancements in artificial intelligence (AI) and wearable technology hold immense promise in transforming the landscape of sleep apnea management. Mount Sinai researchers, backed by a $4.1 million NIH grant, are pioneering AI-driven models to…
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Mobile health (mHealth) with continuous real-time monitoring is leading the era of digital medical convergence. Wearable devices and smartphones optimized as personalized health management platforms enable disease prediction, prevention, diagnosis, and even treatment. Ubiquitous…
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Background: Multiparametric remote measurement technologies (RMTs), which comprise smartphones and wearable devices, have the potential to revolutionize understanding of the etiology and trajectory of major depressive disorder (MDD). Engagement with RMTs in MDD research…
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What You Should Know:
– Fitbit, the leader in wearable technology, and Quest Diagnostics (NYSE: DGX), a provider of diagnostic information services, announced the launch of the Wearables for Metabolic Health (WEAR-ME) pilot study.
– This…
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A S$20 million grant from the National Research Foundation, Singapore (NRF) has been awarded to Nanyang Technological University, Singapore and Imperial College London to develop ways to better protect health data and wearable devices.Imperial’s…
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Eisai’s collaboration with Oita University heralds a milestone in Alzheimer’s research, presenting an innovative AI model utilizing wearable device data for prediction. The study’s comprehensive approach, encompassing both biological and lifestyle data, results in…
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Japanese pharmaceutical company Eisai, together with Oita University in Japan, has built what could be the world’s first AI model that uses data from wearable devices to predict Alzheimer’s disease, the most common form…
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