BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

113 related articles for article (PubMed ID: 38142932)

  • 1. Machine-learning prediction of treatment response to stereotactic body radiation therapy in oligometastatic gynecological cancer: A multi-institutional study.
    Cilla S; Campitelli M; Antonietta Gambacorta M; Michela Rinaldi R; Deodato F; Pezzulla D; Romano C; Fodor A; Laliscia C; Trippa F; De Sanctis V; Ippolito E; Ferioli M; Titone F; Russo D; Balcet V; Vicenzi L; Di Cataldo V; Raguso A; Giuseppe Morganti A; Ferrandina G; Macchia G
    Radiother Oncol; 2024 Feb; 191():110072. PubMed ID: 38142932
    [TBL] [Abstract][Full Text] [Related]  

  • 2. CT-based radiomics prediction of complete response after stereotactic body radiation therapy for patients with lung metastases.
    Cilla S; Pistilli D; Romano C; Macchia G; Pierro A; Arcelli A; Buwenge M; Morganti AG; Deodato F
    Strahlenther Onkol; 2023 Jul; 199(7):676-685. PubMed ID: 37256303
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Predicting distant failure in early stage NSCLC treated with SBRT using clinical parameters.
    Zhou Z; Folkert M; Cannon N; Iyengar P; Westover K; Zhang Y; Choy H; Timmerman R; Yan J; Xie XJ; Jiang S; Wang J
    Radiother Oncol; 2016 Jun; 119(3):501-4. PubMed ID: 27156652
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Application of machine learning model in predicting the likelihood of blood transfusion after hip fracture surgery.
    Chen X; Pan J; Li Y; Tang R
    Aging Clin Exp Res; 2023 Nov; 35(11):2643-2656. PubMed ID: 37733228
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Establishment and validation of a heart failure risk prediction model for elderly patients after coronary rotational atherectomy based on machine learning.
    Zhang L; Zhou X; Cao J
    PeerJ; 2024; 12():e16867. PubMed ID: 38313005
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multi-institutional dose-segmented dosiomic analysis for predicting radiation pneumonitis after lung stereotactic body radiation therapy.
    Adachi T; Nakamura M; Shintani T; Mitsuyoshi T; Kakino R; Ogata T; Ono T; Tanabe H; Kokubo M; Sakamoto T; Matsuo Y; Mizowaki T
    Med Phys; 2021 Apr; 48(4):1781-1791. PubMed ID: 33576510
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Development and validation of a radiomics-based prediction pipeline for the response to stereotactic radiosurgery therapy in brain metastases.
    Du P; Liu X; Xiang R; Lv K; Chen H; Liu W; Cao A; Chen L; Wang X; Yu T; Ding J; Li W; Li J; Li Y; Yu Z; Zhu L; Liu J; Geng D
    Eur Radiol; 2023 Dec; 33(12):8925-8935. PubMed ID: 37505244
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Supervised learning applied to classifying fallers versus non-fallers among older adults with cancer.
    Ramsdale E; Kunduru M; Smith L; Culakova E; Shen J; Meng S; Zand M; Anand A
    J Geriatr Oncol; 2023 May; 14(4):101498. PubMed ID: 37084629
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Risk Factors and Predictive Models for Peripherally Inserted Central Catheter Unplanned Extubation in Patients With Cancer: Prospective, Machine Learning Study.
    Zhang J; Ma G; Peng S; Hou J; Xu R; Luo L; Hu J; Yao N; Wang J; Huang X
    J Med Internet Res; 2023 Nov; 25():e49016. PubMed ID: 37971792
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automated machine learning for early prediction of acute kidney injury in acute pancreatitis.
    Zhang R; Yin M; Jiang A; Zhang S; Xu X; Liu L
    BMC Med Inform Decis Mak; 2024 Jan; 24(1):16. PubMed ID: 38212745
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A machine learning-based prediction model pre-operatively for functional recovery after 1-year of hip fracture surgery in older people.
    Lin C; Liang Z; Liu J; Sun W
    Front Surg; 2023; 10():1160085. PubMed ID: 37351328
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of treatment response in patients with brain metastasis receiving stereotactic radiosurgery based on pre-treatment multimodal MRI radiomics and clinical risk factors: A machine learning model.
    Du P; Liu X; Shen L; Wu X; Chen J; Chen L; Cao A; Geng D
    Front Oncol; 2023; 13():1114194. PubMed ID: 36994193
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development and validation of explainable machine-learning models for carotid atherosclerosis early screening.
    Yun K; He T; Zhen S; Quan M; Yang X; Man D; Zhang S; Wang W; Han X
    J Transl Med; 2023 May; 21(1):353. PubMed ID: 37246225
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Analysis of Cross-Combinations of Feature Selection and Machine-Learning Classification Methods Based on [
    Gómez OV; Herraiz JL; Udías JM; Haug A; Papp L; Cioni D; Neri E
    Cancers (Basel); 2022 Jun; 14(12):. PubMed ID: 35740588
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Machine Learning to Predict the Response to Lenvatinib Combined with Transarterial Chemoembolization for Unresectable Hepatocellular Carcinoma.
    Ma J; Bo Z; Zhao Z; Yang J; Yang Y; Li H; Yang Y; Wang J; Su Q; Wang J; Chen K; Yu Z; Wang Y; Chen G
    Cancers (Basel); 2023 Jan; 15(3):. PubMed ID: 36765583
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Outcome prediction of intracranial aneurysm treatment by flow diverters using machine learning.
    Paliwal N; Jaiswal P; Tutino VM; Shallwani H; Davies JM; Siddiqui AH; Rai R; Meng H
    Neurosurg Focus; 2018 Nov; 45(5):E7. PubMed ID: 30453461
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A novel explainable online calculator for contrast-induced AKI in diabetics: a multi-centre validation and prospective evaluation study.
    Ma M; Wan X; Chen Y; Lu Z; Guo D; Kong H; Pan B; Zhang H; Chen D; Xu D; Sun D; Lang H; Zhou C; Li T; Cao C
    J Transl Med; 2023 Jul; 21(1):517. PubMed ID: 37525240
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Application of machine learning algorithms to construct and validate a prediction model for coronary heart disease risk in patients with periodontitis: a population-based study.
    Wang Y; Ni B; Xiao Y; Lin Y; Jiang Y; Zhang Y
    Front Cardiovasc Med; 2023; 10():1296405. PubMed ID: 38094122
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Gradient boosted trees with individual explanations: An alternative to logistic regression for viability prediction in the first trimester of pregnancy.
    Vaulet T; Al-Memar M; Fourie H; Bobdiwala S; Saso S; Pipi M; Stalder C; Bennett P; Timmerman D; Bourne T; De Moor B
    Comput Methods Programs Biomed; 2022 Jan; 213():106520. PubMed ID: 34808532
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Machine-learning prediction model for acute skin toxicity after breast radiation therapy using spectrophotometry.
    Cilla S; Romano C; Macchia G; Boccardi M; Pezzulla D; Buwenge M; Castelnuovo AD; Bracone F; Curtis A; Cerletti C; Iacoviello L; Donati MB; Deodato F; Morganti AG
    Front Oncol; 2022; 12():1044358. PubMed ID: 36686808
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.