BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

162 related articles for article (PubMed ID: 38064848)

  • 1. A comprehensive analysis towards exploring the promises of AI-related approaches in autism research.
    Pandya S; Jain S; Verma J
    Comput Biol Med; 2024 Jan; 168():107801. PubMed ID: 38064848
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Artificial Intelligence: the "
    Marciano F; Venutolo G; Ingenito CM; Verbeni A; Terracciano C; Plunk E; Garaci F; Cavallo A; Fasano A
    Curr Med Chem; 2021; 28(32):6591-6618. PubMed ID: 33538662
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Do it the transformer way: A comprehensive review of brain and vision transformers for autism spectrum disorder diagnosis and classification.
    Alharthi AG; Alzahrani SM
    Comput Biol Med; 2023 Dec; 167():107667. PubMed ID: 37939407
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review.
    Moridian P; Ghassemi N; Jafari M; Salloum-Asfar S; Sadeghi D; Khodatars M; Shoeibi A; Khosravi A; Ling SH; Subasi A; Alizadehsani R; Gorriz JM; Abdulla SA; Acharya UR
    Front Mol Neurosci; 2022; 15():999605. PubMed ID: 36267703
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A personalized classification of behavioral severity of autism spectrum disorder using a comprehensive machine learning framework.
    Ali MT; Gebreil A; ElNakieb Y; Elnakib A; Shalaby A; Mahmoud A; Sleman A; Giridharan GA; Barnes G; Elbaz AS
    Sci Rep; 2023 Oct; 13(1):17048. PubMed ID: 37813914
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Triage and priority-based healthcare diagnosis using artificial intelligence for autism spectrum disorder and gene contribution: A systematic review.
    Joudar SS; Albahri AS; Hamid RA
    Comput Biol Med; 2022 Jul; 146():105553. PubMed ID: 35561591
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A review of methods for classification and recognition of ASD using fMRI data.
    Feng W; Liu G; Zeng K; Zeng M; Liu Y
    J Neurosci Methods; 2022 Feb; 368():109456. PubMed ID: 34954253
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Role of Artificial Intelligence for Autism Diagnosis Using DTI and fMRI: A Survey.
    Helmy E; Elnakib A; ElNakieb Y; Khudri M; Abdelrahim M; Yousaf J; Ghazal M; Contractor S; Barnes GN; El-Baz A
    Biomedicines; 2023 Jun; 11(7):. PubMed ID: 37509498
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Brain imaging-based machine learning in autism spectrum disorder: methods and applications.
    Xu M; Calhoun V; Jiang R; Yan W; Sui J
    J Neurosci Methods; 2021 Sep; 361():109271. PubMed ID: 34174282
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of autism spectrum disorder based on electroencephalography: A systematic review.
    Li J; Kong X; Sun L; Chen X; Ouyang G; Li X; Chen S
    Comput Biol Med; 2024 Mar; 170():108075. PubMed ID: 38301514
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Diagnosis-Based Hybridization of Multimedical Tests and Sociodemographic Characteristics of Autism Spectrum Disorder Using Artificial Intelligence and Machine Learning Techniques: A Systematic Review.
    Alqaysi ME; Albahri AS; Hamid RA
    Int J Telemed Appl; 2022; 2022():3551528. PubMed ID: 35814280
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Detecting autism from picture book narratives using deep neural utterance embeddings.
    Wawer A; Chojnicka I
    Int J Lang Commun Disord; 2022 Sep; 57(5):948-962. PubMed ID: 35555933
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Systematic bibliometric and visualized analysis of research hotspots and trends in artificial intelligence in autism spectrum disorder.
    Jia Q; Wang X; Zhou R; Ma B; Fei F; Han H
    Front Neuroinform; 2023; 17():1310400. PubMed ID: 38125308
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review.
    Khodatars M; Shoeibi A; Sadeghi D; Ghaasemi N; Jafari M; Moridian P; Khadem A; Alizadehsani R; Zare A; Kong Y; Khosravi A; Nahavandi S; Hussain S; Acharya UR; Berk M
    Comput Biol Med; 2021 Dec; 139():104949. PubMed ID: 34737139
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Artificial intelligence analysis of newborn leucocyte epigenomic markers for the prediction of autism.
    Bahado-Singh RO; Vishweswaraiah S; Aydas B; Mishra NK; Yilmaz A; Guda C; Radhakrishna U
    Brain Res; 2019 Dec; 1724():146457. PubMed ID: 31521637
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Unified framework for early stage status prediction of autism based on infant structural magnetic resonance imaging.
    Gao K; Sun Y; Niu S; Wang L
    Autism Res; 2021 Dec; 14(12):2512-2523. PubMed ID: 34643325
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Functional connectivity based machine learning approach for autism detection in young children using MEG signals.
    Barik K; Watanabe K; Bhattacharya J; Saha G
    J Neural Eng; 2023 Mar; 20(2):. PubMed ID: 36812588
    [No Abstract]   [Full Text] [Related]  

  • 18. A new classification system for autism based on machine learning of artificial intelligence.
    Shahamiri SR; Thabtah F; Abdelhamid N
    Technol Health Care; 2022; 30(3):605-622. PubMed ID: 34657857
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Detection of autism spectrum disorder (ASD) in children and adults using machine learning.
    Farooq MS; Tehseen R; Sabir M; Atal Z
    Sci Rep; 2023 Jun; 13(1):9605. PubMed ID: 37311766
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Face-like pareidolia images are more difficult to detect than real faces in children with autism spectrum disorder.
    Akdeniz G
    Adv Clin Exp Med; 2024 Jan; 33(1):13-19. PubMed ID: 37166015
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.