epilepsy
PulseAugur coverage of epilepsy — every cluster mentioning epilepsy across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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AI models reveal distinct internal dynamics in epilepsy patients despite similar predictive accuracy
Researchers have developed a method to analyze the internal dynamics learned by AI models, even when their predictive accuracy is similar. A CNN-Transformer model, trained on EEG data from the Temple University EEG Corp…
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Nobel Prize awarded for optogenetics research
The 2026 Nobel Prize in Physiology or Medicine has been awarded to Karl Deisseroth, Peter Hegemann, and Georg Nagel for their pioneering work in optogenetics. Their research focused on light-gated ion channels, a method…
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LLM-Empowered Framework Enhances Biosignal Feature Generation
Researchers have developed DeepFeature, a novel framework that leverages Large Language Models (LLMs) to generate context-aware features for wearable biosignals. This approach integrates LLM capabilities with expert kno…
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LLM framework MANANA improves epilepsy care in low-resource settings
Researchers have developed a new framework called MANANA to help large language models (LLMs) assist clinicians in underrepresented epilepsy care settings. This non-parametric prompt-learning framework adapts to local p…
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Machine learning aids epilepsy diagnosis from EEG
Researchers have developed a machine learning pipeline to classify EEG responses for epilepsy diagnosis, particularly in cases where standard EEGs lack key indicators. The system utilizes features from temporal, spectra…