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 *

137 related articles for article (PubMed ID: 37888523)

  • 21. Weight control methods in high school wrestlers.
    Woods ER; Wilson CD; Masland RP
    J Adolesc Health Care; 1988 Sep; 9(5):394-7. PubMed ID: 3170306
    [TBL] [Abstract][Full Text] [Related]  

  • 22. [The assessment of biological maturation for talent selection - which method can be used?].
    Müller L; Müller E; Hildebrandt C; Kapelari K; Raschner C
    Sportverletz Sportschaden; 2015 Mar; 29(1):56-63. PubMed ID: 25710395
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Early Sports Specialization in Elite Wrestlers.
    McDonald C; Deitch J; Bush C
    Sports Health; 2019; 11(5):397-401. PubMed ID: 30933657
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Artificial Intelligence Approach in Biomechanics of Gait and Sport: A Systematic Literature Review.
    Molavian R; Fatahi A; Abbasi H; Khezri D
    J Biomed Phys Eng; 2023 Oct; 13(5):383-402. PubMed ID: 37868944
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Health and weight control management among wrestlers. A proposed program for high school athletes.
    Perriello VA; Almquist J; Conkwright D; Cutter D; Gregory D; Pitrezzi MJ; Roemmich J; Snyders G
    Va Med Q; 1995; 122(3):179-83, 185. PubMed ID: 7612683
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Current Approaches to the Use of Artificial Intelligence for Injury Risk Assessment and Performance Prediction in Team Sports: a Systematic Review.
    Claudino JG; Capanema DO; de Souza TV; Serrão JC; Machado Pereira AC; Nassis GP
    Sports Med Open; 2019 Jul; 5(1):28. PubMed ID: 31270636
    [TBL] [Abstract][Full Text] [Related]  

  • 27. The Second to Fourth Digit Ratio in Elite and Non-Elite Greco-Roman Wrestlers.
    Keshavarz M; Bayati M; Farzad B; Dakhili A; Agha-Alinejad H
    J Hum Kinet; 2017 Dec; 60():145-151. PubMed ID: 29339994
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Injuries in Collegiate Wrestlers at an Elite Division I NCAA Wrestling Program: An Epidemiological Study.
    Otero JE; Graves CM; Bollier MJ
    Iowa Orthop J; 2017; 37():65-70. PubMed ID: 28852337
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Physical Fitness Differences between Freestyle and Greco-Roman Junior Wrestlers.
    Demirkan E; Kutlu M; Koz M; Ozal M; Favre M
    J Hum Kinet; 2014 Jun; 41():245-51. PubMed ID: 25114751
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Isokinetic muscle strength cannot be related to the odds ratio of musculoskeletal injuries in young elite wrestlers.
    Hoseini A; Zarei M; Nobari H; Hovanloo F; Abbasi H; Pérez-Gómez J
    BMC Sports Sci Med Rehabil; 2022 Feb; 14(1):29. PubMed ID: 35193657
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Mitigating Bias and Error in Machine Learning to Protect Sports Data.
    Zhang J; Li J
    Comput Intell Neurosci; 2022; 2022():4777010. PubMed ID: 35602627
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Machine Learning Algorithms Predict Functional Improvement After Hip Arthroscopy for Femoroacetabular Impingement Syndrome in Athletes.
    Kunze KN; Polce EM; Clapp I; Nwachukwu BU; Chahla J; Nho SJ
    J Bone Joint Surg Am; 2021 Jun; 103(12):1055-1062. PubMed ID: 33877058
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
    Woldaregay AZ; Årsand E; Walderhaug S; Albers D; Mamykina L; Botsis T; Hartvigsen G
    Artif Intell Med; 2019 Jul; 98():109-134. PubMed ID: 31383477
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Short-term memory neural network-based cognitive computing in sports training complexity pattern recognition.
    Wu G; Ji H
    Soft comput; 2022 Jan; ():1-16. PubMed ID: 35035279
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Lactate profile during greco-roman wrestling matchx.
    Karnincic H; Tocilj Z; Uljevic O; Erceg M
    J Sports Sci Med; 2009 Nov; 8(CSSI3):17-9. PubMed ID: 24474881
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Artificial intelligence to deep learning: machine intelligence approach for drug discovery.
    Gupta R; Srivastava D; Sahu M; Tiwari S; Ambasta RK; Kumar P
    Mol Divers; 2021 Aug; 25(3):1315-1360. PubMed ID: 33844136
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Artificial Intelligence and Machine Learning in Sport Research: An Introduction for Non-data Scientists.
    Chmait N; Westerbeek H
    Front Sports Act Living; 2021; 3():682287. PubMed ID: 34957395
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Injuries and rapid weight loss in elite Korean wrestlers: an epidemiological study.
    Kim JC; Park KJ
    Phys Sportsmed; 2021 Sep; 49(3):308-315. PubMed ID: 32928031
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Identification of success factors in elite wrestlers-An exploratory study.
    Cieśliński I; Gierczuk D; Sadowski J
    PLoS One; 2021; 16(3):e0247565. PubMed ID: 33661963
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Skin Microbiota in Contact Sports Athletes and Selection of Antiseptics for Professional Hygiene.
    Martykanova DS; Davletova NC; Zemlenuhin IA; Volchkova VI; Mugallimov SM; Ahatov AM; Laikov AV; Markelova MI; Boulygina EA; Lopukhov LV; Grigoryeva TV
    Biomed Res Int; 2019; 2019():9843781. PubMed ID: 30733970
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.