Body composition prediction from 3D optical imagery has previously been studied with linear algorithms. In this study, we present a novel application of deep 3D convolutional graph networks and nonlinear Gaussian process regression for…
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Real-time monitoring of hydration biomarkers in tandem with biophysical markers can offer valuable physiological insights about heat stress and related thermoregulatory response. These metrics have been challenging to achieve with wearable sensors. Here we…
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Groundbreaking Research Initiative
The University of Edinburgh‘s NeurEYE research team, in collaboration with Glasgow Caledonian University, has achieved a remarkable milestone by collecting nearly one million eye scans from opticians across Scotland. This unprecedented dataset,…
What You Should Know:
– ActiGraph, the global leader in wearable digital health technology for clinical research and drug development, and Hyfe Inc., the pioneer in AI-powered cough detection technology, have announced the release of their…
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Hong Kong-based startup PanopticAI has obtained regulatory approval in the United States for its contactless pulse rate measuring application. It received the US Food and Drug Administration’s 510(k) clearance for the PanopticAI Vital Signs app…
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While drug combinations are increasingly important in disease treatment, predicting their therapeutic interactions remains challenging. This review systematically analyzes computational methods for predicting drug combination effects through multi-omics data integration. We comprehensively assess key…
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Main entrance of The Royal Orthopaedic Hospital (Credit: The Royal Orthopaedic Hospital NHS Foundation Trust)
The Royal Orthopaedic Hospital (ROH) NHS Foundation Trust has launched a pilot programme with VitVio to enhance the safety…
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Groundbreaking Technology Reshapes Cognitive Care
A revolutionary advancement in dementia detection has emerged through Together Senior Health’s RADAR algorithm, with recent Milliman testing confirming its exceptional predictive capabilities. This innovative technology, now part of Linus…
Using administrative claims and electronic health records for observational studies is common but challenging due to data limitations. Researchers rely on phenotype algorithms, requiring labor-intensive chart reviews for validation. This study investigates whether case…
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Adaptive deep brain stimulation (DBS) provides individualized therapy for people with Parkinson’s disease (PWP) by adjusting the stimulation in real-time using neural signals that reflect their motor state. Current algorithms, however, utilize condensed and…
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