ArticleSpectrochimica acta. Part B, Atomic spectroscopy2020
Diagnosis of Alzheimer's disease using laser-induced breakdown spectroscopy and machine learning.
Article in Spectrochimica acta. Part B, Atomic spectroscopy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 57 citations in OpenAlex.
- Influence of Sample Preparation Methods for Porcine Tissue: Calibration-Free LIBS for In Vivo Applications.Journal of biophotonics · 2026Article
- Application of Laser-Induced Breakdown Spectroscopy (LIBS) technology in malignant tumor diagnosis.Discover oncology · 2026Review
- Analysis of Niobium and Stainless Steel Electropolishing Solutions by Laser-Induced Breakdown Spectroscopy Using a Porous Silicon Substrate and a Non-Contact Pretreatment.Materials (Basel, Switzerland) · 2026Article
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- Blood metal analysis of plasmas from donors with and without SARS-CoV-2 using laser-induced breakdown spectroscopy and logistic regression.Biomedical optics express · 2024Article
- Laser induced breakdown spectroscopy for the rapid detection of SARS-CoV-2 immune response in plasma.Scientific reports · 2022Article
- Current trends on the application of artificial intelligence in medical sciences.Bioinformation · 2022Article
- Alzheimer's disease diagnosis and classification using deep learning techniques.PeerJ. Computer science · 2022Article
- Predictive data clustering of laser-induced breakdown spectroscopy for brain tumor analysis.Biomedical optics express · 2021Article
- Machine learning-based LIBS spectrum analysis of human blood plasma allows ovarian cancer diagnosis.Biomedical optics express · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Alzheimer's disease (AD) is a progressive incurable neurodegenerative disease and a major health problem in aging population. We show that the combined use of Laser-Induced Breakdown Spectroscopy (LIBS) and machine learning applied for the analysis of micro-drops of plasma samples of AD and healthy controls (HC) yields robust classification. Following the acquisition of LIBS spectra of 67 plasma samples from a cohort of 31 AD patients and 36 healthy controls (HC), we successfully diagnose late-onset AD (> 65 years old), with a total classification accuracy of 80%, a specificity of 75% and a sensitivity of 85%.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.