IEEE Engineering Medicine and Biology Society

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IEEE Engineering Medicine and Biology Society

IEEE Engineering Medicine and Biology Society

@IEEEembs

IEEE Engineering in Medicine and Biology Society (EMBS) is the world's largest society of #biomedical #engineers.

Piscataway, NJ 가입일 Kasım 2010
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Esteban Pino
Esteban Pino@epq_doc·
Preparando la clase inaugural #biomedica_udec
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IEEE Spectrum
IEEE Spectrum@IEEESpectrum·
What if doctors could simulate your heart's response to surgery before it happens? At one Boston hospital, virtual twins from the Living Heart Project have already guided nearly 2,000 lifesaving procedures. spectrum.ieee.org/living-heart-p…
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IEEE Spectrum
IEEE Spectrum@IEEESpectrum·
Yesterday, #Nvidia's CEO announced new hardware for orbital data centers. Here’s what engineers will be up against when they try to build them: buff.ly/ELRVwID
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IEEE Engineering Medicine and Biology Society
Featured Chapter! #EMBCAMP26 was successfully held Feb 21-22 at Izmir Katip Çelebi University! Organized by the IEEE IKCU Student Branch, the event empowered future biomedical engineers through learning & collaboration. 👏 Great work to the team!
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IEEE Engineering Medicine and Biology Society 리트윗함
IEEE EMBS Portugal Chapter
🗓️ Interessado em #neuroegenharia? Não perca o "Epilepsy & Technology" organizado pelo INESC TEC e FE @UPorto, apoiado pelo @IEEEembs Chapter @IEEE PT. 💡 Palestra pelo Prof. Soheyl Noachtar e apresentação de projectos de MSc e PhD. ℹ️ Informações e link para registo abaixo.
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Davide Capodanno
Davide Capodanno@DFCapodanno·
#cardioX is more alive than ever. On the same day that @ihtanboga delivers two incredible articles on COBRRA and SELUTION DeNovo, and a masterclass no one interested in biostatistics and trial interpretation should miss, @ehj_ed publishes a debate I joined with @thiele_holger, @cvrints, and others on the significance of the RF-CL model for estimating pre-test probability of coronary artery disease. This article actually originated from the X discussion shown below, where @ihtanboga had also shared a valuable calculator, and I learned a lot from @cvrints as well. These coincidences close the circle. Long live the sparks between scientific literature and social media that keep the debate alive. academic.oup.com/eurheartj/adva…
Davide Capodanno@DFCapodanno

There is one thing that, even as a reviewer and despite having pointed it out during the process, I really haven't understood about the new ESC guidelines for chronic coronary syndromes. Using the new Risk factor-weighted clinical likelihood (RF-CL) model, one can calculate individual risk based on symptoms, sex, and the number of cardiovascular risk factors, and so far so good. In this way, the calculable pre-test probability scores range from 0 to 45%. However, the recommendations for additional diagnostic tests are also applicable to patients with a risk higher than 45%. Now, how does one calculate a pre-test probability higher than 45% based on the RF-CL? With risk enhancers like PAD, resting ECG, etc.? With the calcium score? In fact, the calcium score can be used to determine the new pre-test probability, but I don’t think this is a good reason to perform it on everyone, also because its value lies mainly in recategorizing patients into the very low-risk group when it is zero. However, it seems you cannot determine the new pre-test probability with risk enhancers, unless it is meant that the presence of one of these factors automatically shifts the patient into at least the moderate-risk category. In short, if anyone has figured out how to arrive at the precise number for values above 45%, they’d be doing me a favor, because I can't understand it from the text.

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