These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

135 related articles for article (PubMed ID: 38269912)

  • 1. Personalized Prediction of Parkinson's Disease Progression Based on Deep Gaussian Processes.
    Pan C; Tian Y; Zhou T; Li J
    Stud Health Technol Inform; 2024 Jan; 310():765-769. PubMed ID: 38269912
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Predictive Big Data Analytics: A Study of Parkinson's Disease Using Large, Complex, Heterogeneous, Incongruent, Multi-Source and Incomplete Observations.
    Dinov ID; Heavner B; Tang M; Glusman G; Chard K; Darcy M; Madduri R; Pa J; Spino C; Kesselman C; Foster I; Deutsch EW; Price ND; Van Horn JD; Ames J; Clark K; Hood L; Hampstead BM; Dauer W; Toga AW
    PLoS One; 2016; 11(8):e0157077. PubMed ID: 27494614
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Discovery of Parkinson's disease states and disease progression modelling: a longitudinal data study using machine learning.
    Severson KA; Chahine LM; Smolensky LA; Dhuliawala M; Frasier M; Ng K; Ghosh S; Hu J
    Lancet Digit Health; 2021 Sep; 3(9):e555-e564. PubMed ID: 34334334
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Large-scale identification of clinical and genetic predictors of motor progression in patients with newly diagnosed Parkinson's disease: a longitudinal cohort study and validation.
    Latourelle JC; Beste MT; Hadzi TC; Miller RE; Oppenheim JN; Valko MP; Wuest DM; Church BW; Khalil IG; Hayete B; Venuto CS
    Lancet Neurol; 2017 Nov; 16(11):908-916. PubMed ID: 28958801
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The Personalized Parkinson Project: examining disease progression through broad biomarkers in early Parkinson's disease.
    Bloem BR; Marks WJ; Silva de Lima AL; Kuijf ML; van Laar T; Jacobs BPF; Verbeek MM; Helmich RC; van de Warrenburg BP; Evers LJW; intHout J; van de Zande T; Snyder TM; Kapur R; Meinders MJ
    BMC Neurol; 2019 Jul; 19(1):160. PubMed ID: 31315608
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal data.
    Ramamoorthy D; Severson K; Ghosh S; Sachs K; ; Glass JD; Fournier CN; ; ; Herrington TM; Berry JD; Ng K; Fraenkel E
    Nat Comput Sci; 2022 Sep; 2(9):605-616. PubMed ID: 38177466
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Longitudinal clustering analysis and prediction of Parkinson's disease progression using radiomics and hybrid machine learning.
    Salmanpour MR; Shamsaei M; Hajianfar G; Soltanian-Zadeh H; Rahmim A
    Quant Imaging Med Surg; 2022 Feb; 12(2):906-919. PubMed ID: 35111593
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease.
    Zhang X; He L; Chen K; Luo Y; Zhou J; Wang F
    AMIA Annu Symp Proc; 2018; 2018():1147-1156. PubMed ID: 30815157
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Clinical criteria for subtyping Parkinson's disease: biomarkers and longitudinal progression.
    Fereshtehnejad SM; Zeighami Y; Dagher A; Postuma RB
    Brain; 2017 Jul; 140(7):1959-1976. PubMed ID: 28549077
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Application of novel hybrid machine learning systems and radiomics features for non-motor outcome prediction in Parkinson's disease.
    Salmanpour MR; Bakhtiyari M; Hosseinzadeh M; Maghsudi M; Yousefirizi F; Ghaemi MM; Rahmim A
    Phys Med Biol; 2023 Jan; 68(3):. PubMed ID: 36595257
    [No Abstract]   [Full Text] [Related]  

  • 11. Estimating the Evolution of Disease in the Parkinson's Progression Markers Initiative.
    Iddi S; Li D; Aisen PS; Rafii MS; Litvan I; Thompson WK; Donohue MC
    Neurodegener Dis; 2018; 18(4):173-190. PubMed ID: 30089306
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prognostic Modeling of Parkinson's Disease Progression Using Early Longitudinal Patterns of Change.
    Ren X; Lin J; Stebbins GT; Goetz CG; Luo S
    Mov Disord; 2021 Dec; 36(12):2853-2861. PubMed ID: 34327755
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Symptoms and medications change patterns for Parkinson's disease patients stratification.
    Valmarska A; Miljkovic D; Konitsiotis S; Gatsios D; Lavrač N; Robnik-Šikonja M
    Artif Intell Med; 2018 Sep; 91():82-95. PubMed ID: 29803610
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting Parkinson's Disease Progression: Evaluation of Ensemble Methods in Machine Learning.
    Nilashi M; Abumalloh RA; Minaei-Bidgoli B; Samad S; Yousoof Ismail M; Alhargan A; Abdu Zogaan W
    J Healthc Eng; 2022; 2022():2793361. PubMed ID: 35154618
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Long-term cognitive decline prediction based on multi-modal data using Multimodal3DSiameseNet: transfer learning from Alzheimer's disease to Parkinson's disease.
    Ostertag C; Visani M; Urruty T; Beurton-Aimar M
    Int J Comput Assist Radiol Surg; 2023 May; 18(5):809-818. PubMed ID: 36964477
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prognostic factors of Rapid symptoms progression in patients with newly diagnosed parkinson's disease.
    Tsiouris KM; Konitsiotis S; Koutsouris DD; Fotiadis DI
    Artif Intell Med; 2020 Mar; 103():101807. PubMed ID: 32143804
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Japan Parkinson's Progression Markers Initiative (J-PPMI).
    Mukai Y; Murata M
    Nihon Rinsho; 2017 Jan; 75(1):151-155. PubMed ID: 30566310
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A deep learning approach for prediction of Parkinson's disease progression.
    Shahid AH; Singh MP
    Biomed Eng Lett; 2020 May; 10(2):227-239. PubMed ID: 32477610
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Study of molecular patterns associated with ferroptosis in Parkinson's disease and its immune signature.
    Chen L; Xin G; He Y; Tian Q; Kong X; Fu Y; Wang J; Zhang H; Wang L
    PLoS One; 2023; 18(12):e0295699. PubMed ID: 38127902
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predicting the multi-domain progression of Parkinson's disease: a Bayesian multivariate generalized linear mixed-effect model.
    Wang M; Li Z; Lee EY; Lewis MM; Zhang L; Sterling NW; Wagner D; Eslinger P; Du G; Huang X
    BMC Med Res Methodol; 2017 Sep; 17(1):147. PubMed ID: 28946857
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.