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108,537 results

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Page 1
Method "Monte Carlo" in healthcare.
Velikova T, Mileva N, Naseva E. Velikova T, et al. World J Methodol. 2024 Sep 20;14(3):93930. doi: 10.5662/wjm.v14.i3.93930. eCollection 2024 Sep 20. World J Methodol. 2024. PMID: 39310240 Free PMC article. Review.
In public health, simulation modeling stands as an invaluable asset, enabling the evaluation of new systems without their physical implementation, experimentation with existing systems without operational adjustments, and testing system limits without real-world repercussions. In …
In public health, simulation modeling stands as an invaluable asset, enabling the evaluation of new systems without their physical implement …
Monte Carlo methods for medical imaging research.
Lee H. Lee H. Biomed Eng Lett. 2024 Sep 5;14(6):1195-1205. doi: 10.1007/s13534-024-00423-x. eCollection 2024 Nov. Biomed Eng Lett. 2024. PMID: 39465109 Free PMC article. Review.
This article reviews the physics behind Monte Carlo methods, their applications in medical imaging, and available MC codes for medical imaging research. Additionally, potential research areas related to Monte Carlo for medical imaging are discussed....
This article reviews the physics behind Monte Carlo methods, their applications in medical imaging, and available MC codes for medica …
Monte Carlo simulations in drug release.
Kosmidis K, Dassios G. Kosmidis K, et al. J Pharmacokinet Pharmacodyn. 2019 Apr;46(2):165-172. doi: 10.1007/s10928-019-09625-8. Epub 2019 Mar 18. J Pharmacokinet Pharmacodyn. 2019. PMID: 30880356 Review.
We present methods based on simple sampling Monte Carlo simulations that are used in the study of controlled drug release from devices of various shapes and characteristics. ...Panos Macheras and we have chosen applications of the Monte Carlo method in the field of …
We present methods based on simple sampling Monte Carlo simulations that are used in the study of controlled drug release from device …
The Monte Carlo Method as a Tool to Build up Predictive QSPR/QSAR.
Toropov AA, Toropova AP. Toropov AA, et al. Curr Comput Aided Drug Des. 2020;16(3):197-206. doi: 10.2174/1573409915666190328123112. Curr Comput Aided Drug Des. 2020. PMID: 30919781 Review.
BACKGROUND: The Monte Carlo method has a wide application in various scientific researches. For the development of predictive models in a form of the quantitative structure-property / activity relationships (QSPRs/QSARs), the Monte Carlo approach also can be useful. …
BACKGROUND: The Monte Carlo method has a wide application in various scientific researches. For the development of predictive models …
Reflections on a life with Monte Carlo in Medical Physics.
Rogers DWO. Rogers DWO. Med Phys. 2023 Jun;50 Suppl 1:91-94. doi: 10.1002/mp.16278. Epub 2023 Feb 18. Med Phys. 2023. PMID: 36779658 Review.
The author reminisces about some of his experiences working with Monte Carlo techniques for Medical Physics applications....
The author reminisces about some of his experiences working with Monte Carlo techniques for Medical Physics applications....
CARLo-5 as an oncogenic gene in endometrial carcinoma.
Zhao X, Zhang C, Wei X, Shi L, Dai S, Jia J, Wei S, Wang Y, Wang Y, Cheng J, Zhao L. Zhao X, et al. Environ Mol Mutagen. 2020 Feb;61(2):256-265. doi: 10.1002/em.22340. Epub 2019 Nov 18. Environ Mol Mutagen. 2020. PMID: 31661565
The long noncoding RNA CARLo-5 is dysregulated in multiple types of human cancers. High CARLo-5 is a promising predictive factor for various cancers, including endometrial carcinoma (EC). ...The oncogenic activity of CARLo-5 was also confirmed with in vivo da …
The long noncoding RNA CARLo-5 is dysregulated in multiple types of human cancers. High CARLo-5 is a promising predictive fact …
Monte Carlo systems used for treatment planning and dose verification.
Brualla L, Rodriguez M, Lallena AM. Brualla L, et al. Strahlenther Onkol. 2017 Apr;193(4):243-259. doi: 10.1007/s00066-016-1075-8. Epub 2016 Nov 25. Strahlenther Onkol. 2017. PMID: 27888282 Review. English.
General-purpose radiation transport Monte Carlo codes have been used for estimation of the absorbed dose distribution in external photon and electron beam radiotherapy patients since several decades. ...To take advantage of radiation transport Monte Carlo codes appl …
General-purpose radiation transport Monte Carlo codes have been used for estimation of the absorbed dose distribution in external pho …
CORAL: Monte Carlo Method to Predict Endpoints for Medical Chemistry.
Toropova AP, Toropov AA. Toropova AP, et al. Mini Rev Med Chem. 2018 Feb 14;18(5):382-391. doi: 10.2174/1389557517666170927154931. Mini Rev Med Chem. 2018. PMID: 28971771 Review.
The numerical data on the correlation weights are calculated by the Monte Carlo method. The data should provide maximal correlation coefficient between experimental values of endpoint and corresponding values of the optimal descriptor. The scheme contains two phases: (i) s …
The numerical data on the correlation weights are calculated by the Monte Carlo method. The data should provide maximal correlation c …
Application of the Monte Carlo Method for the Prediction of Behavior of Peptides.
Toropova AP, Toropov AA. Toropova AP, et al. Curr Protein Pept Sci. 2019;20(12):1151-1157. doi: 10.2174/1389203720666190123163907. Curr Protein Pept Sci. 2019. PMID: 30674254 Review.
Prediction of physicochemical and biochemical behavior of peptides is an important and attractive task of the modern natural sciences, since these substances have a key role in life processes. The Monte Carlo technique is a possible way to solve the above task. The Monte …
Prediction of physicochemical and biochemical behavior of peptides is an important and attractive task of the modern natural sciences, since …
Monte Carlo simulations of glass-forming liquids beyond Metropolis.
Berthier L, Ghimenti F, van Wijland F. Berthier L, et al. J Chem Phys. 2024 Sep 21;161(11):114105. doi: 10.1063/5.0225978. J Chem Phys. 2024. PMID: 39283338
Monte Carlo simulations are, however, more versatile because carefully designed Monte Carlo algorithms can more efficiently sample the rugged free energy landscape characteristic of glassy systems. After a brief overview of Monte Carlo studies of glass-former …
Monte Carlo simulations are, however, more versatile because carefully designed Monte Carlo algorithms can more efficiently sa …
108,537 results
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