Results 231 to 240 of about 278,922 (269)

Development and validation of a deep survival model to predict time to seizure from routine electroencephalography

open access: yesEpilepsia, EarlyView.
Abstract Objective This study was undertaken to develop and validate a deep survival model (EEGSurvNet) that analyzes routine electroencephalography (EEG) to predict individual seizure risk over time, comparing its performance to traditional clinical predictors such as interictal epileptiform discharges (IEDs).
Émile Lemoine   +5 more
wiley   +1 more source

Blades and Braces

open access: yesResearch and Humanities in Medical Education, 2019
Shubham Arora
doaj  

An Unexpected Facet of Extremophiles: Their Aesthetic Potential in Artistic Expression. [PDF]

open access: yesMicrob Biotechnol
Yarzábal Rodríguez LA   +4 more
europepmc   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

open access: yesEpilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida   +5 more
wiley   +1 more source

Effect of Ammonium Polyphosphate/Silicate Content on the Postfire Mechanics of Epoxy Glass‐Fiber Composites Using Facile Chocolate Bar‐Inspired Structures

open access: yesFire and Materials, Volume 49, Issue 3, Page 329-346, April 2025.
ABSTRACT This study investigates the postfire mechanical properties of epoxy glass‐fiber reinforced composites (EP GFRCs) using increasing concentrations of ammonium polyphosphate (APP) and inorganic silicate (InSi) to modify the char and fire residue.
Sruthi Sunder   +5 more
wiley   +1 more source

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