Digital Health Technologies represent a marked shift from current medical technologies in use, the approach to health and healthcare and stakeholders engaged in healthcare delivery. What the digitalized future of medicine will look like…
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Rare gynecological tumors (RGTs) present major clinical challenges due to their low incidence and heterogeneity. The lack of clear guidelines leads to suboptimal management and poor prognosis. Molecular tumor boards accelerate access to effective…
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Digital twins have been used in industries and is now gaining traction in healthcare, particularly in precision medicine. Discrete Event Simulation is a modelling methodology for simulating processes and workflows in healthcare. This paper…
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Pulmonary vein isolation (PVI), the standard-of-care for atrial fibrillation (AF), is effective even in some persistent AF (PsAF) patients despite atrial fibrosis proliferation, suggesting that PVI could not only be isolating triggers but diminishing…
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We developed a practical framework to construct digital twins for predicting and optimizing triple-negative breast cancer (TNBC) response to neoadjuvant chemotherapy (NAC). This study employed 105 TNBC patients from the ARTEMIS trial (NCT02276443, registered…
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Unlearn, an AI-enabled company creating digital twins of clinical trial participants, announced a partnership to advance ALS research with biotechnology company Trace Neuroscience, which creates genomic therapies for neurodegenerative diseases.Unlearn, founded in 2017, uses…
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Why Digital Transformation Is Essential
Digital transformation in healthcare has evolved from a strategic advantage to an absolute necessity. Healthcare leaders face the complex challenge of navigating an expansive technology ecosystem that encompasses artificial intelligence,…
Digital transformation in healthcare is no longer an option – it’s a necessity, albeit a daunting one that requires careful planning and guidance. Healthcare leaders must navigate a vast and interconnected technology landscape that…
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Heart failure (HF) is a highly heterogeneous condition, and current methods struggle to synthesize extensive clinical data for personalized care. Using data from 343 HF patients, we developed mechanistic computational models of the cardiovascular…
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We need to use the tools we have, whether it be apps, sensors, digital twins, artificial intelligence as it develops, to enable our consumers and patients to take better care of themselves without us….
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