Publications by authors named "B A Danek"

Background: We aimed to develop a transcatheter aortic valve replacement (TAVR) sizing algorithm and implantation method to facilitate safe and effective TAVR without contrast use in patients with severe chronic kidney disease (CKD) who do not yet require renal replacement therapy. Patients with CKD are a challenging patient subset to treat using standard TAVR care pathways which most usually require the use of iodinated contrast media both during gated computed tomography (CT) angiography sizing, and valve deployment. Iodinated contrast exposure may worsen kidney function in a dose-dependent fashion, and may result in a need for renal replacement therapy.

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Purpose Of Review: To describe the emerging role of transcatheter septal myotomy in the treatment of hypertrophic obstructive cardiomyopathy.

Recent Findings: Transcatheter septal myotomy was developed to address risk of LVOT obstruction during TMVR, however it has been performed in patients with LVOT obstruction related to hypertrophic cardiomyopathy, in whom it improves symptoms, reduces LVOT gradients, and is associated with low incidence of procedural complications. Transcatheter myotomy is a novel approach to address LVOT obstruction related to hypertrophic cardiomyopathy in patients who are not favorable surgical candidates.

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While machine learning (ML) research has recently grown more in popularity, its application in the omics domain is constrained by access to sufficiently large, high-quality datasets needed to train ML models. Federated learning (FL) represents an opportunity to enable collaborative curation of such datasets among participating institutions. We compare the simulated performance of several models trained using FL against classically trained ML models on the task of multi-omics Parkinson's disease prediction.

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