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Two-Dimensional Materials for Brain-Inspired Computing Hardware.
Chem Rev
January 2025
Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60208, United States.
Recent breakthroughs in brain-inspired computing promise to address a wide range of problems from security to healthcare. However, the current strategy of implementing artificial intelligence algorithms using conventional silicon hardware is leading to unsustainable energy consumption. Neuromorphic hardware based on electronic devices mimicking biological systems is emerging as a low-energy alternative, although further progress requires materials that can mimic biological function while maintaining scalability and speed.
View Article and Find Full Text PDFArtificial Intelligence-Enhanced Electrocardiography for Prediction of Incident Hypertension.
JAMA Cardiol
January 2025
National Heart and Lung Institute, Imperial College London, United Kingdom.
Importance: Hypertension underpins significant global morbidity and mortality. Early lifestyle intervention and treatment are effective in reducing adverse outcomes. Artificial intelligence-enhanced electrocardiography (AI-ECG) has been shown to identify a broad spectrum of subclinical disease and may be useful for predicting incident hypertension.
View Article and Find Full Text PDFDeep Learning-Based SD-OCT Layer Segmentation Quantifies Outer Retina Changes in Patients With Biallelic RPE65 Mutations Undergoing Gene Therapy.
Invest Ophthalmol Vis Sci
January 2025
Institute for Applied Mathematics, University of Bonn, Bonn, Germany.
Purpose: To quantify outer retina structural changes and define novel biomarkers of inherited retinal degeneration associated with biallelic mutations in RPE65 (RPE65-IRD) in patients before and after subretinal gene augmentation therapy with voretigene neparvovec (Luxturna).
Methods: Application of advanced deep learning for automated retinal layer segmentation, specifically tailored for RPE65-IRD. Quantification of five novel biomarkers for the ellipsoid zone (EZ): thickness, granularity, reflectivity, and intensity.
Artificial intelligence-based cardiovascular/stroke risk stratification in women affected by autoimmune disorders: a narrative survey.
Rheumatol Int
January 2025
Stroke Monitoring and Diagnostic Division, AtheroPoint™, Roseville, CA, 95661, USA.
Women are disproportionately affected by chronic autoimmune diseases (AD) like systemic lupus erythematosus (SLE), scleroderma, rheumatoid arthritis (RA), and Sjögren's syndrome. Traditional evaluations often underestimate the associated cardiovascular disease (CVD) and stroke risk in women having AD. Vitamin D deficiency increases susceptibility to these conditions.
View Article and Find Full Text PDFOutcomes and Impact of Device Iterations in Mitral Valve Transcatheter Edge-to-Edge Repair: The REPAIR Study.
JACC Cardiovasc Interv
November 2024
Department of Cardiology, Heart Center, Faculty of Medicine, University of Cologne, Cologne, Germany. Electronic address:
Background: The PASCAL P10 system for mitral valve transcatheter edge-to-edge repair has undergone iterations, including introduction of the narrower Ace implant and the Precision delivery system.
Objectives: The study sought to evaluate outcomes and the impact of PASCAL mitral valve transcatheter edge-to-edge repair device iterations.
Methods: The REPAIR (REgistry of PAscal for mltral Regurgitation) study is an investigator-initiated, multicenter registry including consecutive patients with mitral regurgitation (MR) treated from 2019 to 2024.
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