Unraveling complex patterns within temporal data streams is a foundational element of our technical prowess. Our expertise in time-series analysis extends to neuroinformatics modalities such as fMRI, EEG, and MEG, enabling us to extract valuable insights from these intricate data sources.
We leverage interpretable machine learning methods to discover crucial neurophysiological biomarkers, guiding brain disorder management.
We integrate real-world implementation and experimental design with machine learning techniques to utilize established clinical biomarkers for the creation and customization of innovative therapeutic solutions.
We integrate machine learning methods with advanced signal processing to develop diagnostic and prognostic models for brain disorders.
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