Publications by authors named "J Etxebarria-Elezgarai"

Article Synopsis
  • Alzheimer's disease is a progressive condition that requires early detection for effective treatment but currently relies on expensive and invasive diagnostic methods.
  • This study introduces label-free Raman spectroscopy combined with machine learning as a new approach for diagnosing preclinical Alzheimer's by analyzing cerebrospinal fluid samples for specific molecules like nucleic acids and proteins.
  • The resulting model shows strong reliability across different patient cohorts and time periods, demonstrating Raman spectroscopy's potential for non-invasive Alzheimer's diagnosis and promising future clinical application.
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Multivariate analysis applied in biosensing greatly improves analytical performance by extracting relevant information or bypassing confounding factors such as nonlinear responses or experimental errors and noise. Plasmonic sensors based on various light coupling mechanisms have shown impressive performance in biosensing by detecting dielectric changes with high sensitivity. In this study, gold nanodiscs are used as metasurface in a Kretschmann setup, and a variety of features from the reflectance curve are used by machine learning to improve sensing performance.

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Article Synopsis
  • * Many sophisticated model approaches are being developed, yet validation often receives less attention, leading to potential inaccuracies in predictions.
  • * This manuscript emphasizes the significance of data structure in model construction and provides a detailed overview of various validation strategies through three classification scenarios.
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This work demonstrates a novel strategy to improve the sensing performance of a prism-coupled surface plasmon resonance system by Gaussian beam shaping and multivariate data analysis. The propagation of the beam along the optical system has been studied using the Gaussian beam approximation to design the incident beam such that the beam waist is aligned precisely and that stability is assured at the metal-dielectric interface. This renders a collimated incident beam, hence least angular dispersion, yielding a stronger and sharper plasmonic resonance.

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Low cost, easy to use cell viability tests are needed in the pharmaceutical, biomaterial, and environmental industries to measure adverse cellular effects. We present a new methodology to track cell death with high resolution. Adherent cells commonly detach from the surface when they die, but some toxic compounds promote cell adhesion.

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