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 *

589 related articles for article (PubMed ID: 26803397)

  • 1. Cross-trial prediction of treatment outcome in depression: a machine learning approach.
    Chekroud AM; Zotti RJ; Shehzad Z; Gueorguieva R; Johnson MK; Trivedi MH; Cannon TD; Krystal JH; Corlett PR
    Lancet Psychiatry; 2016 Mar; 3(3):243-50. PubMed ID: 26803397
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression: A Prespecified Secondary Analysis of a Randomized Clinical Trial.
    Rajpurkar P; Yang J; Dass N; Vale V; Keller AS; Irvin J; Taylor Z; Basu S; Ng A; Williams LM
    JAMA Netw Open; 2020 Jun; 3(6):e206653. PubMed ID: 32568399
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Replication of machine learning methods to predict treatment outcome with antidepressant medications in patients with major depressive disorder from STAR*D and CAN-BIND-1.
    Nunez JJ; Nguyen TT; Zhou Y; Cao B; Ng RT; Chen J; Frey BN; Milev R; Müller DJ; Rotzinger S; Soares CN; Uher R; Kennedy SH; Lam RW
    PLoS One; 2021; 16(6):e0253023. PubMed ID: 34181661
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Effect of antidepressant medication treatment on suicidal ideation and behavior in a randomized trial: an exploratory report from the Combining Medications to Enhance Depression Outcomes Study.
    Zisook S; Lesser IM; Lebowitz B; Rush AJ; Kallenberg G; Wisniewski SR; Nierenberg AA; Fava M; Luther JF; Morris DW; Trivedi MH
    J Clin Psychiatry; 2011 Oct; 72(10):1322-32. PubMed ID: 22075098
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Machine Learning Prediction of Quality of Life Improvement During Antidepressant Treatment of Patients With Major Depressive Disorder: A STAR*D and CAN-BIND-1 Report.
    Phaterpekar T; Nunez JJ; Morton E; Liu YS; Cao B; Frey BN; Milev RV; Müller DJ; Rotzinger S; Soares CN; Taylor VH; Uher R; Kennedy SH; Lam RW
    J Clin Psychiatry; 2023 Nov; 85(1):. PubMed ID: 37967350
    [No Abstract]   [Full Text] [Related]  

  • 6. Predictive socioeconomic and clinical profiles of antidepressant response and remission.
    Jain FA; Hunter AM; Brooks JO; Leuchter AF
    Depress Anxiety; 2013 Jul; 30(7):624-30. PubMed ID: 23288666
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Combining clinical variables to optimize prediction of antidepressant treatment outcomes.
    Iniesta R; Malki K; Maier W; Rietschel M; Mors O; Hauser J; Henigsberg N; Dernovsek MZ; Souery D; Stahl D; Dobson R; Aitchison KJ; Farmer A; Lewis CM; McGuffin P; Uher R
    J Psychiatr Res; 2016 Jul; 78():94-102. PubMed ID: 27089522
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A cognitive-emotional biomarker for predicting remission with antidepressant medications: a report from the iSPOT-D trial.
    Etkin A; Patenaude B; Song YJ; Usherwood T; Rekshan W; Schatzberg AF; Rush AJ; Williams LM
    Neuropsychopharmacology; 2015 May; 40(6):1332-42. PubMed ID: 25547711
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Quantitative electroencephalogram biomarkers for predicting likelihood and speed of achieving sustained remission in major depression: a report from the biomarkers for rapid identification of treatment effectiveness in major depression (BRITE-MD) trial.
    Cook IA; Hunter AM; Gilmer WS; Iosifescu DV; Zisook S; Burgoyne KS; Howland RH; Trivedi MH; Jain R; Greenwald S; Leuchter AF
    J Clin Psychiatry; 2013 Jan; 74(1):51-6. PubMed ID: 23419226
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Distressing adverse events after antidepressant switch in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial: influence of adverse events during initial treatment with citalopram on development of subsequent adverse events with an alternative antidepressant.
    Katz AJ; Dusetzina SB; Farley JF; Ellis AR; Gaynes BN; Castillo WC; Stürmer T; Hansen RA
    Pharmacotherapy; 2012 Mar; 32(3):234-43. PubMed ID: 22392456
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Temporal multi-step predictive modeling of remission in major depressive disorder using early stage treatment data; STAR*D based machine learning approach.
    Salem H; Huynh T; Topolski N; Mwangi B; Trivedi MH; Soares JC; Rush AJ; Selvaraj S
    J Affect Disord; 2023 Mar; 324():286-293. PubMed ID: 36584711
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Limitations in efficacy of antidepressant monotherapy.
    Rush AJ
    J Clin Psychiatry; 2007; 68 Suppl 10():8-10. PubMed ID: 17900203
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predictive modeling of treatment resistant depression using data from STAR*D and an independent clinical study.
    Nie Z; Vairavan S; Narayan VA; Ye J; Li QS
    PLoS One; 2018; 13(6):e0197268. PubMed ID: 29879133
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Inclusion of genetic variants in an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response.
    Shumake J; Mallard TT; McGeary JE; Beevers CG
    Sci Rep; 2021 Feb; 11(1):3780. PubMed ID: 33580158
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Optimizing prediction of response to antidepressant medications using machine learning and integrated genetic, clinical, and demographic data.
    Taliaz D; Spinrad A; Barzilay R; Barnett-Itzhaki Z; Averbuch D; Teltsh O; Schurr R; Darki-Morag S; Lerer B
    Transl Psychiatry; 2021 Jul; 11(1):381. PubMed ID: 34238923
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Depression Subtypes in Predicting Antidepressant Response: A Report From the iSPOT-D Trial.
    Arnow BA; Blasey C; Williams LM; Palmer DM; Rekshan W; Schatzberg AF; Etkin A; Kulkarni J; Luther JF; Rush AJ
    Am J Psychiatry; 2015 Aug; 172(8):743-50. PubMed ID: 25815419
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Amygdala Reactivity to Emotional Faces in the Prediction of General and Medication-Specific Responses to Antidepressant Treatment in the Randomized iSPOT-D Trial.
    Williams LM; Korgaonkar MS; Song YC; Paton R; Eagles S; Goldstein-Piekarski A; Grieve SM; Harris AW; Usherwood T; Etkin A
    Neuropsychopharmacology; 2015 Sep; 40(10):2398-408. PubMed ID: 25824424
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Duloxetine versus escitalopram and placebo: an 8-month, double-blind trial in patients with major depressive disorder.
    Pigott TA; Prakash A; Arnold LM; Aaronson ST; Mallinckrodt CH; Wohlreich MM
    Curr Med Res Opin; 2007 Jun; 23(6):1303-18. PubMed ID: 17559729
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Efficacy of escitalopram compared to citalopram: a meta-analysis.
    Montgomery S; Hansen T; Kasper S
    Int J Neuropsychopharmacol; 2011 Mar; 14(2):261-8. PubMed ID: 20875220
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Frontoparietal Activation During Response Inhibition Predicts Remission to Antidepressants in Patients With Major Depression.
    Gyurak A; Patenaude B; Korgaonkar MS; Grieve SM; Williams LM; Etkin A
    Biol Psychiatry; 2016 Feb; 79(4):274-81. PubMed ID: 25891220
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 30.