BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

310 related articles for article (PubMed ID: 33278409)

  • 21. Applications of machine learning algorithms to predict therapeutic outcomes in depression: A meta-analysis and systematic review.
    Lee Y; Ragguett RM; Mansur RB; Boutilier JJ; Rosenblat JD; Trevizol A; Brietzke E; Lin K; Pan Z; Subramaniapillai M; Chan TCY; Fus D; Park C; Musial N; Zuckerman H; Chen VC; Ho R; Rong C; McIntyre RS
    J Affect Disord; 2018 Dec; 241():519-532. PubMed ID: 30153635
    [TBL] [Abstract][Full Text] [Related]  

  • 22. The state of art on the prediction of efficiency and modeling of the processes of pollutants removal based on machine learning.
    Taoufik N; Boumya W; Achak M; Chennouk H; Dewil R; Barka N
    Sci Total Environ; 2022 Feb; 807(Pt 1):150554. PubMed ID: 34597573
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Machine Learning to Predict Binding Affinity.
    Bitencourt-Ferreira G; de Azevedo WF
    Methods Mol Biol; 2019; 2053():251-273. PubMed ID: 31452110
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Artificial intelligence in reproductive medicine.
    Wang R; Pan W; Jin L; Li Y; Geng Y; Gao C; Chen G; Wang H; Ma D; Liao S
    Reproduction; 2019 Oct; 158(4):R139-R154. PubMed ID: 30970326
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Deep Dive into Machine Learning Models for Protein Engineering.
    Xu Y; Verma D; Sheridan RP; Liaw A; Ma J; Marshall NM; McIntosh J; Sherer EC; Svetnik V; Johnston JM
    J Chem Inf Model; 2020 Jun; 60(6):2773-2790. PubMed ID: 32250622
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Machine learning directed drug formulation development.
    Bannigan P; Aldeghi M; Bao Z; Häse F; Aspuru-Guzik A; Allen C
    Adv Drug Deliv Rev; 2021 Aug; 175():113806. PubMed ID: 34019959
    [TBL] [Abstract][Full Text] [Related]  

  • 27. The application potential of machine learning and genomics for understanding natural product diversity, chemistry, and therapeutic translatability.
    Prihoda D; Maritz JM; Klempir O; Dzamba D; Woelk CH; Hazuda DJ; Bitton DA; Hannigan GD
    Nat Prod Rep; 2021 Jun; 38(6):1100-1108. PubMed ID: 33245088
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Machine learning in autistic spectrum disorder behavioral research: A review and ways forward.
    Thabtah F
    Inform Health Soc Care; 2019 Sep; 44(3):278-297. PubMed ID: 29436887
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Classifying injury narratives of large administrative databases for surveillance-A practical approach combining machine learning ensembles and human review.
    Marucci-Wellman HR; Corns HL; Lehto MR
    Accid Anal Prev; 2017 Jan; 98():359-371. PubMed ID: 27863339
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Protein asparagine deamidation prediction based on structures with machine learning methods.
    Jia L; Sun Y
    PLoS One; 2017; 12(7):e0181347. PubMed ID: 28732052
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Machine Learning Clustering for Blood Pressure Variability Applied to Systolic Blood Pressure Intervention Trial (SPRINT) and the Hong Kong Community Cohort.
    Tsoi KKF; Chan NB; Yiu KKL; Poon SKS; Lin B; Ho K
    Hypertension; 2020 Aug; 76(2):569-576. PubMed ID: 32594794
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Machine-learning prediction of adolescent alcohol use: a cross-study, cross-cultural validation.
    Afzali MH; Sunderland M; Stewart S; Masse B; Seguin J; Newton N; Teesson M; Conrod P
    Addiction; 2019 Apr; 114(4):662-671. PubMed ID: 30461117
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Machine Learning in Medicine.
    Deo RC
    Circulation; 2015 Nov; 132(20):1920-30. PubMed ID: 26572668
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Error Tolerance of Machine Learning Algorithms across Contemporary Biological Targets.
    Kaiser TM; Burger PB
    Molecules; 2019 Jun; 24(11):. PubMed ID: 31167452
    [TBL] [Abstract][Full Text] [Related]  

  • 35. An Improved Self-Labeled Algorithm for Cancer Prediction.
    Livieris I; Pintelas E; Kanavos A; Pintelas P
    Adv Exp Med Biol; 2020; 1194():331-342. PubMed ID: 32468549
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Machine learning and data science in soft materials engineering.
    Ferguson AL
    J Phys Condens Matter; 2018 Jan; 30(4):043002. PubMed ID: 29111979
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Graph Convolutional Networks for Improved Prediction and Interpretability of Chromatographic Retention Data.
    Kensert A; Bouwmeester R; Efthymiadis K; Van Broeck P; Desmet G; Cabooter D
    Anal Chem; 2021 Nov; 93(47):15633-15641. PubMed ID: 34780168
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Patient-Level Prediction of Cardio-Cerebrovascular Events in Hypertension Using Nationwide Claims Data.
    Park J; Kim JW; Ryu B; Heo E; Jung SY; Yoo S
    J Med Internet Res; 2019 Feb; 21(2):e11757. PubMed ID: 30767907
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Motivation for using data-driven algorithms in research: A review of machine learning solutions for image analysis of micrographs in neuroscience.
    Thiele F; Windebank AJ; Siddiqui AM
    J Neuropathol Exp Neurol; 2023 Jun; 82(7):595-610. PubMed ID: 37244652
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Machine learning prediction of antibody aggregation and viscosity for high concentration formulation development of protein therapeutics.
    Lai PK; Gallegos A; Mody N; Sathish HA; Trout BL
    MAbs; 2022; 14(1):2026208. PubMed ID: 35075980
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 16.