BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

166 related articles for article (PubMed ID: 36394721)

  • 1. Classification of Alzheimer's disease stage using machine learning for left and right oxygenation difference signals in the prefrontal cortex: a patient-level, single-group, diagnostic interventional trial.
    Kim J; Kim SC; Kang D; Yon DK; Kim JG
    Eur Rev Med Pharmacol Sci; 2022 Nov; 26(21):7734-7741. PubMed ID: 36394721
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Quantification of identifying cognitive impairment using olfactory-stimulated functional near-infrared spectroscopy with machine learning: a post hoc analysis of a diagnostic trial and validation of an external additional trial.
    Kim J; Lee H; Lee J; Rhee SY; Shin JI; Lee SW; Cho W; Min C; Kwon R; Kim JG; Yon DK
    Alzheimers Res Ther; 2023 Jul; 15(1):127. PubMed ID: 37481573
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Novel diagnostic tools for identifying cognitive impairment using olfactory-stimulated functional near-infrared spectroscopy: patient-level, single-group, diagnostic trial.
    Kim J; Yon DK; Choi KY; Lee JJ; Kim N; Lee KH; Kim JG
    Alzheimers Res Ther; 2022 Mar; 14(1):39. PubMed ID: 35260170
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Feature extraction of time series data on functional near-infrared spectroscopy and comparison of deep learning performance for classifying patients with Alzheimer's-related mild cognitive impairment: a post-hoc analysis of a diagnostic interventional trial.
    Kim J; Kim SC; Kang D; Kim SY; Kwon R; Yon DK; Kim JG
    Eur Rev Med Pharmacol Sci; 2023 Jul; 27(14):6824-6830. PubMed ID: 37522693
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Olfactory Phenotypes Differentiate Cognitively Unimpaired Seniors from Alzheimer's Disease and Mild Cognitive Impairment: A Combined Machine Learning and Traditional Statistical Approach.
    Li J; Bur AM; Villwock MR; Shankar S; Palmer G; Sykes KJ; Villwock JA
    J Alzheimers Dis; 2021; 81(2):641-650. PubMed ID: 33843686
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Accuracy and Psychometric Properties of the Brazilian Version of the Montreal Cognitive Assessment as a Brief Screening Tool for Mild Cognitive Impairment and Alzheimer's Disease in the Initial Stages in the Elderly.
    Pinto TCC; Machado L; Costa MLG; Santos MSP; Bulgacov TM; Rolim APP; Silva GA; Rodrigues-Júnior AL; Sougey EB; Ximenes RCC
    Dement Geriatr Cogn Disord; 2019; 47(4-6):366-374. PubMed ID: 31466064
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep Learning and Risk Score Classification of Mild Cognitive Impairment and Alzheimer's Disease.
    Nagaraj S; Duong TQ
    J Alzheimers Dis; 2021; 80(3):1079-1090. PubMed ID: 33646166
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Diagnosis of Cognitive Impairment Compatible with Early Diagnosis of Alzheimer's Disease. A Bayesian Network Model based on the Analysis of Oral Definitions of Semantic Categories.
    Guerrero JM; Martínez-Tomás R; Rincón M; Peraita H
    Methods Inf Med; 2016; 55(1):42-9. PubMed ID: 25925692
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Plasma d-glutamate levels for detecting mild cognitive impairment and Alzheimer's disease: Machine learning approaches.
    Chang CH; Lin CH; Liu CY; Huang CS; Chen SJ; Lin WC; Yang HT; Lane HY
    J Psychopharmacol; 2021 Mar; 35(3):265-272. PubMed ID: 33586518
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison between the story recall test and the word-list learning test in Korean patients with mild cognitive impairment and early stage of Alzheimer's disease.
    Baek MJ; Kim HJ; Kim S
    J Clin Exp Neuropsychol; 2012; 34(4):396-404. PubMed ID: 22263656
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Characteristics of Mild Cognitive Impairment Using the Thai Version of the Consortium to Establish a Registry for Alzheimer's Disease Tests: A Multivariate and Machine Learning Study.
    Tunvirachaisakul C; Supasitthumrong T; Tangwongchai S; Hemrunroj S; Chuchuen P; Tawankanjanachot I; Likitchareon Y; Phanthumchinda K; Sriswasdi S; Maes M
    Dement Geriatr Cogn Disord; 2018; 45(1-2):38-48. PubMed ID: 29617684
    [TBL] [Abstract][Full Text] [Related]  

  • 12. ApoE4 effects on automated diagnostic classifiers for mild cognitive impairment and Alzheimer's disease.
    Apostolova LG; Hwang KS; Kohannim O; Avila D; Elashoff D; Jack CR; Shaw L; Trojanowski JQ; Weiner MW; Thompson PM;
    Neuroimage Clin; 2014; 4():461-72. PubMed ID: 24634832
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Short-Term Memory Binding Distinguishing Amnestic Mild Cognitive Impairment from Healthy Aging: A Machine Learning Study.
    Martínez-Florez JF; Osorio JD; Cediel JC; Rivas JC; Granados-Sánchez AM; López-Peláez J; Jaramillo T; Cardona JF
    J Alzheimers Dis; 2021; 81(2):729-742. PubMed ID: 33814438
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Verification of the association between cognitive decline and olfactory dysfunction using a DEmentia screening kit in subjects with Alzheimer's dementia, mild cognitive impairment, and normal cognitive function (DESK study): A multicenter, open-label, interventional study.
    Fukumoto T; Ezaki T; Urakami K
    eNeurologicalSci; 2022 Dec; 29():100439. PubMed ID: 36531966
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Is the Alzheimer's Disease Assessment Scale-Cognitive Subscale Useful in Screening for Mild Cognitive Impairment and Alzheimer's Disease? A Systematic Review.
    Park SH; Han KS
    Curr Alzheimer Res; 2022; 19(3):202-211. PubMed ID: 35379127
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automatic Detection of Cognitive Impairments through Acoustic Analysis of Speech.
    Nagumo R; Zhang Y; Ogawa Y; Hosokawa M; Abe K; Ukeda T; Sumi S; Kurita S; Nakakubo S; Lee S; Doi T; Shimada H
    Curr Alzheimer Res; 2020; 17(1):60-68. PubMed ID: 32053074
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Olfactory function and neuropsychological profile to differentiate dementia with Lewy bodies from Alzheimer's disease in patients with mild cognitive impairment: A 5-year follow-up study.
    Yoon JH; Kim M; Moon SY; Yong SW; Hong JM
    J Neurol Sci; 2015 Aug; 355(1-2):174-9. PubMed ID: 26076880
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Validation study of the Alzheimer's disease assessment scale-cognitive subscale (ADAS-Cog) for the Portuguese patients with mild cognitive impairment and Alzheimer's disease.
    Nogueira J; Freitas S; Duro D; Almeida J; Santana I
    Clin Neuropsychol; 2018; 32(sup1):46-59. PubMed ID: 29566598
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Brief Test of Olfactory Dysfunction Based on Diagnostic Features of Specific Odors in Early-Stage Alzheimer Disease.
    Audronyte E; Sutnikiene V; Pakulaite-Kazliene G; Kaubrys G
    Med Sci Monit; 2023 May; 29():e940363. PubMed ID: 37243326
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 9.