236 related articles for article (PubMed ID: 24195863)
1. Mathematical models for translational and clinical oncology.
Gallasch R; Efremova M; Charoentong P; Hackl H; Trajanoski Z
J Clin Bioinforma; 2013 Nov; 3(1):23. PubMed ID: 24195863
[TBL] [Abstract][Full Text] [Related]
2. Data-Driven Discovery of Mathematical and Physical Relations in Oncology Data Using Human-Understandable Machine Learning.
Kurz D; Sánchez CS; Axenie C
Front Artif Intell; 2021; 4():713690. PubMed ID: 34901835
[TBL] [Abstract][Full Text] [Related]
3. Understanding Drug Resistance in Breast Cancer with Mathematical Oncology.
Brocato T; Dogra P; Koay EJ; Day A; Chuang YL; Wang Z; Cristini V
Curr Breast Cancer Rep; 2014 Jun; 6(2):110-120. PubMed ID: 24891927
[TBL] [Abstract][Full Text] [Related]
4. Computational Approaches for Translational Oncology: Concepts and Patents.
Scianna M; Munaron L
Recent Pat Anticancer Drug Discov; 2016; 11(4):384-392. PubMed ID: 27697070
[TBL] [Abstract][Full Text] [Related]
5. Macromolecular crowding: chemistry and physics meet biology (Ascona, Switzerland, 10-14 June 2012).
Foffi G; Pastore A; Piazza F; Temussi PA
Phys Biol; 2013 Aug; 10(4):040301. PubMed ID: 23912807
[TBL] [Abstract][Full Text] [Related]
6. Translational modeling and simulation approaches for molecularly targeted small molecule anticancer agents from bench to bedside.
Yamazaki S; Spilker ME; Vicini P
Expert Opin Drug Metab Toxicol; 2016; 12(3):253-65. PubMed ID: 26799750
[TBL] [Abstract][Full Text] [Related]
7. Combination therapies and intra-tumoral competition: Insights from mathematical modeling.
Piretto E; Delitala M; Ferraro M
J Theor Biol; 2018 Jun; 446():149-159. PubMed ID: 29548736
[TBL] [Abstract][Full Text] [Related]
8. Modeling cancer-immune responses to therapy.
dePillis LG; Eladdadi A; Radunskaya AE
J Pharmacokinet Pharmacodyn; 2014 Oct; 41(5):461-78. PubMed ID: 25281420
[TBL] [Abstract][Full Text] [Related]
9. Quantitative translational modeling to facilitate preclinical to clinical efficacy & toxicity translation in oncology.
Zhu AZ
Future Sci OA; 2018 Jun; 4(5):FSO306. PubMed ID: 29796306
[TBL] [Abstract][Full Text] [Related]
10. Theoretical modeling techniques and their impact on tumor immunology.
Woelke AL; Murgueitio MS; Preissner R
Clin Dev Immunol; 2010; 2010():271794. PubMed ID: 21234354
[TBL] [Abstract][Full Text] [Related]
11. Kinetics of Nanomedicine in Tumor Spheroid as an
Roy SM; Garg V; Barman S; Ghosh C; Maity AR; Ghosh SK
Front Bioeng Biotechnol; 2021; 9():785937. PubMed ID: 34926430
[TBL] [Abstract][Full Text] [Related]
12. Fractional Mathematical Oncology: On the potential of non-integer order calculus applied to interdisciplinary models.
Valentim CA; Rabi JA; David SA
Biosystems; 2021 Jun; 204():104377. PubMed ID: 33610556
[TBL] [Abstract][Full Text] [Related]
13. Mathematical Models of Cancer: When to Predict Novel Therapies, and When Not to.
Brady R; Enderling H
Bull Math Biol; 2019 Oct; 81(10):3722-3731. PubMed ID: 31338741
[TBL] [Abstract][Full Text] [Related]
14. The Role of Mathematical Models in Immuno-Oncology: Challenges and Future Perspectives.
Sancho-Araiz A; Mangas-Sanjuan V; Trocóniz IF
Pharmaceutics; 2021 Jul; 13(7):. PubMed ID: 34371708
[TBL] [Abstract][Full Text] [Related]
15. Mathematical modeling and computational prediction of cancer drug resistance.
Sun X; Hu B
Brief Bioinform; 2018 Nov; 19(6):1382-1399. PubMed ID: 28981626
[TBL] [Abstract][Full Text] [Related]
16. Precision Medicine with Imprecise Therapy: Computational Modeling for Chemotherapy in Breast Cancer.
McKenna MT; Weis JA; Brock A; Quaranta V; Yankeelov TE
Transl Oncol; 2018 Jun; 11(3):732-742. PubMed ID: 29674173
[TBL] [Abstract][Full Text] [Related]
17. Modeling the Effects of Chemotherapy and Immunotherapy on Tumor Growth.
El Haout S; Fatani M; Farha NA; AlSawaftah N; Mortula M; Husseini GA
J Biomed Nanotechnol; 2021 Dec; 17(12):2505-2518. PubMed ID: 34974873
[TBL] [Abstract][Full Text] [Related]
18. Artificial Intelligence and Mechanistic Modeling for Clinical Decision Making in Oncology.
Benzekry S
Clin Pharmacol Ther; 2020 Sep; 108(3):471-486. PubMed ID: 32557598
[TBL] [Abstract][Full Text] [Related]
19. Personalizing oncology treatments by predicting drug efficacy, side-effects, and improved therapy: mathematics, statistics, and their integration.
Agur Z; Elishmereni M; Kheifetz Y
Wiley Interdiscip Rev Syst Biol Med; 2014; 6(3):239-53. PubMed ID: 24604755
[TBL] [Abstract][Full Text] [Related]
20. Advancing cancer drug development with mechanistic mathematical modeling: bridging the gap between theory and practice.
Kulesza A; Couty C; Lemarre P; Thalhauser CJ; Cao Y
J Pharmacokinet Pharmacodyn; 2024 Jun; ():. PubMed ID: 38904912
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
