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Clinical EEG and Neuroscience|January 3, 2012
Brain-computer interface in stroke: a review of progressStefano Silvoni, Ander Ramos-Murguialday, Marianna Cavinato, et al.
Scientific Reports|July 23, 2021
Inkjet-printed fully customizable and low-cost electrodes matrix for gesture recognitionGiulio Rosati, Giulia Cisotto, Daniele Sili, et al.
Frontiers in Neurology|November 14, 2013
Kinematic and neurophysiological consequences of an assisted-force-feedback brain-machine interface training: a case studyStefano Silvoni, Marianna Cavinato, Chiara Volpato, et al.
Brain Communications|February 20, 2026
Data-driven probabilistic mapping of the spatial and molecular landscape of gliomaNardin Samuel, Jurgen Germann, Andrew Yang, et al.
ESC Heart Failure|November 18, 2020
Machine learning vs. conventional statistical models for predicting heart failure readmission and mortalitySheojung Shin, Peter C Austin, Heather J Ross, et al.
The Canadian Journal of Cardiology|March 7, 2021
Machine Learning Compared With Conventional Statistical Models for Predicting Myocardial Infarction Readmission and Mortality: A Systematic ReviewSung Min Cho, Peter C Austin, Heather J Ross, et al.
The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences|December 24, 2025
Multicomponent interventions and technologies to reduce the burden of frailty, functional, and cognitive decline: insights from the Age-It Research ProgramChukwuma Okoye, Luca Cuffaro, Federico Emanuele Pozzi, et al.
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