Over the past few years, the metabolic health space has been buzzing due to a mix of increasing awareness, novel drugs and personalized health tools. One of the most impactful developments in recent years…
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We investigated the potential of the transmission line model as a digital twin of aneurysmal aorta by comparatively analyzing how a uniform lossless tube-load model were fitted to the carotid and femoral artery tonometry…
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It would be clinically valuable if the efficacy of antiarrhythmic drugs could be simulated in advance. We developed a digital twin to predict amiodarone efficacy in high-risk atrial fibrillation (AF) patients post-ablation. Virtual left…
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What You Should Know:
– Twin Health, a company known for its Digital Twin™ AI platform that helps individuals achieve remission of type 2 diabetes, has announced promising results in a new study focused on…
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Researchers at the University of Galway and Heidelberg University in Germany have created ‘digital babies’ to improve the diagnosis and treatment of medical conditions in newborns.Scientists at the Digital Metabolic Twin Centre at the…
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We have developed a digital twin-based CKD identification and prediction model that leverages generalized metabolic fluxes (GMF) for patients with Type 2 Diabetes Mellitus (T2DM). GMF digital twins utilized basic clinical and physiological biomarkers…
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What You Should Know:
– Today, Twin Health announced it is extending its whole body digital twin AI platform, proven to help members achieve remission of type 2 diabetes and eliminate medications, to address the challenge of obesity and…
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Today, technology integration into healthcare continues to shape the future of medical treatments, particularly in oncology care. In this episode, we explore the power of Digital Twin technology and its burgeoning role in oncology….
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Researchers from Imperial College London are building digital twin heart models for a group of NHS patients with pulmonary arterial hypertension (PAH).The project, funded by £8 million from the Engineering and Physical Sciences Research…
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Alcohol consumption is associated with a wide variety of preventable health complications and is a major risk factor for all-cause mortality in the age group 15-47 years. To reduce dangerous drinking behavior, eHealth applications…
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