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 *

190 related articles for article (PubMed ID: 37198246)

  • 1. Unsupervised meta-clustering identifies risk clusters in acute myeloid leukemia based on clinical and genetic profiles.
    Eckardt JN; Röllig C; Metzeler K; Heisig P; Stasik S; Georgi JA; Kroschinsky F; Stölzel F; Platzbecker U; Spiekermann K; Krug U; Braess J; Görlich D; Sauerland C; Woermann B; Herold T; Hiddemann W; Müller-Tidow C; Serve H; Baldus CD; Schäfer-Eckart K; Kaufmann M; Krause SW; Hänel M; Berdel WE; Schliemann C; Mayer J; Hanoun M; Schetelig J; Wendt K; Bornhäuser M; Thiede C; Middeke JM
    Commun Med (Lond); 2023 May; 3(1):68. PubMed ID: 37198246
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An unsupervised machine learning method for discovering patient clusters based on genetic signatures.
    Lopez C; Tucker S; Salameh T; Tucker C
    J Biomed Inform; 2018 Sep; 85():30-39. PubMed ID: 30016722
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The future of Cochrane Neonatal.
    Soll RF; Ovelman C; McGuire W
    Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering.
    Tang M; Gao C; Goutman SA; Kalinin A; Mukherjee B; Guan Y; Dinov ID
    Neuroinformatics; 2019 Jul; 17(3):407-421. PubMed ID: 30460455
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Pharmacophenotype identification of intensive care unit medications using unsupervised cluster analysis of the ICURx common data model.
    Sikora A; Rafiei A; Rad MG; Keats K; Smith SE; Devlin JW; Murphy DJ; Murray B; Kamaleswaran R;
    Crit Care; 2023 May; 27(1):167. PubMed ID: 37131200
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study.
    Faghri F; Brunn F; Dadu A; ; ; Zucchi E; Martinelli I; Mazzini L; Vasta R; Canosa A; Moglia C; Calvo A; Nalls MA; Campbell RH; Mandrioli J; Traynor BJ; Chiò A
    Lancet Digit Health; 2022 May; 4(5):e359-e369. PubMed ID: 35341712
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting Measles Outbreaks in the United States: Evaluation of Machine Learning Approaches.
    Ru B; Kujawski S; Lee Afanador N; Baumgartner R; Pawaskar M; Das A
    JMIR Form Res; 2023 Apr; 7():e42832. PubMed ID: 37014694
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Subtyping of children with developmental dyslexia via bootstrap aggregated clustering and the gap statistic: comparison with the double-deficit hypothesis.
    King WM; Giess SA; Lombardino LJ
    Int J Lang Commun Disord; 2007; 42(1):77-95. PubMed ID: 17365087
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Unsupervised Learning for Automated Detection of Coronary Artery Disease Subgroups.
    Flores AM; Schuler A; Eberhard AV; Olin JW; Cooke JP; Leeper NJ; Shah NH; Ross EG
    J Am Heart Assoc; 2021 Dec; 10(23):e021976. PubMed ID: 34845917
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Breast cancer data analysis for survivability studies and prediction.
    Shukla N; Hagenbuchner M; Win KT; Yang J
    Comput Methods Programs Biomed; 2018 Mar; 155():199-208. PubMed ID: 29512500
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting and Grouping Digitized Paintings by Style using Unsupervised Feature Learning.
    Gultepe E; Conturo TE; Makrehchi M
    J Cult Herit; 2018; 31():13-23. PubMed ID: 30034259
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The efficacy of canagliflozin in diabetes subgroups stratified by data-driven clustering or a supervised machine learning method: a post hoc analysis of canagliflozin clinical trial data.
    Zou X; Huang Q; Luo Y; Ren Q; Han X; Zhou X; Ji L
    Diabetologia; 2022 Sep; 65(9):1424-1435. PubMed ID: 35802168
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Unsupervised Machine Learning Reveals Novel Traumatic Brain Injury Patient Phenotypes with Distinct Acute Injury Profiles and Long-Term Outcomes.
    Folweiler KA; Sandsmark DK; Diaz-Arrastia R; Cohen AS; Masino AJ
    J Neurotrauma; 2020 Jun; 37(12):1431-1444. PubMed ID: 32008422
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Machine learning integrates genomic signatures for subclassification beyond primary and secondary acute myeloid leukemia.
    Awada H; Durmaz A; Gurnari C; Kishtagari A; Meggendorfer M; Kerr CM; Kuzmanovic T; Durrani J; Shreve J; Nagata Y; Radivoyevitch T; Advani AS; Ravandi F; Carraway HE; Nazha A; Haferlach C; Saunthararajah Y; Scott J; Visconte V; Kantarjian H; Kadia T; Sekeres MA; Haferlach T; Maciejewski JP
    Blood; 2021 Nov; 138(19):1885-1895. PubMed ID: 34075412
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Molecular classification and prognosis in younger adults with acute myeloid leukemia and intermediate-risk cytogenetics treated or not by gemtuzumab ozogamycin: Final results of the GOELAMS/FILO acute myeloid leukemia 2006-intermediate-risk trial.
    Bouvier A; Hamel JF; Delaunay J; Delabesse E; Dumas PY; Ledoux MP; Peterlin P; Luquet I; Roth Guepin G; Bulabois CE; Gallego Hernanz MP; Guillerm G; Guieze R; Hicheri Y; Simand C; Himberlin C; Hunault-Berger M; Bernard M; Jourdan E; Caillot D; Dorvaux V; Tavernier E; Daguindau E; Banos A; Ojeda-Uribe M; Gyan E; Alexis M; Marolleau JP; Turlure P; Bouscary D; Humbrecht C; Zerazhi H; Béné MC; Pigneux A; Carre M; Ifrah N; Blanchet O; Vey N; Récher C; Cornillet-Lefèbvre P;
    Eur J Haematol; 2021 Jul; 107(1):111-121. PubMed ID: 33765335
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The Application of the Unsupervised Migration Method Based on Deep Learning Model in the Marketing Oriented Allocation of High Level Accounting Talents.
    Liu M; Li M; Zhang X
    Comput Intell Neurosci; 2022; 2022():5653942. PubMed ID: 35707184
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Novel 85-Gene Expression Signature Predicts Unfavorable Prognosis in Acute Myeloid Leukemia.
    Lai Y; Sheng L; Wang J; Zhou M; OuYang G
    Technol Cancer Res Treat; 2021; 20():15330338211004933. PubMed ID: 33784904
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparison of machine learning clustering algorithms for detecting heterogeneity of treatment effect in acute respiratory distress syndrome: A secondary analysis of three randomised controlled trials.
    Sinha P; Spicer A; Delucchi KL; McAuley DF; Calfee CS; Churpek MM
    EBioMedicine; 2021 Dec; 74():103697. PubMed ID: 34861492
    [TBL] [Abstract][Full Text] [Related]  

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

    [Next]    [New Search]
    of 10.