Spectral AI (NASDAQ: MDAI) (“Spectral AI” or the “Company”), developer of the AI-driven DeepView® System, which received Breakthrough Device Designation from the U.S. Food and Drug Administration ...

Spectral analysis based on neural field theory is used to analyze dynamic connectivity via methods based on the physical eigenmodes that are the building blocks of brain dynamics. These approaches ...

EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD ...

📊📈🔬 SpectraFit is a command-line and Jupyter-notebook tool for quick data-fitting based on the regular expression of distribution functions.

Toeplitz sequences and their applications in spectral analysis are important topics in numerical mathematics and engineering. These sequences, characterized by their constant diagonals ...

Fractal geometry and spectral analysis are two interconnected fields that explore complex structures and their properties. Fractals are intricate patterns that repeat at different scales ...

With this breakthrough, we may soon see a future where spectral sensing technology becomes as ubiquitous and accessible as ...

In this paper, drawing from a decade of experience, we describe our ongoing efforts to identify compounds for structural analysis exams and to prepare skill-based tests using NMR, IR and mass spectra.

Dxcover Limited, a clinical-stage diagnostics company pioneering its multiomic spectral analysis (MOSA-Dx™) for early ...

Neutrophil granulocytes, a type of immune cell, are indispensable for the defense against pathogens. However, if they migrate into injured tissue, for example into the brain after a stroke, they can ...