Computer-assisted surgery is becoming essential in modern medicine to accurately plan, guide, and perform surgeries. Similarly, Digital Twin technology is expected to be instrumental in the future of surgery, owing to its capacity to…
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In emergency situations, timely contact with emergency medical communication centers (EMCCs) is critical for patient outcomes. Increasing call volumes and economic constraints are challenging many countries, necessitating organizational changes in EMCCs. This study uses…
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Rheumatoid arthritis is a complex disease marked by joint pain, stiffness, swelling, and chronic synovitis, arising from the dysregulated interaction between synoviocytes and immune cells. Its unclear etiology makes finding a cure challenging. The…
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Imagine if you could create a digital clone of yourself that can be used to test various treatment options to determine which one is best for your real self.
By John Halamka, M.D., President, Mayo…
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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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