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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1889 1
1914 1
1947 25
1948 28
1949 5
1950 47
1951 36
1952 28
1953 18
1954 53
1955 58
1956 39
1957 44
1958 62
1959 29
1960 60
1961 35
1962 39
1963 37
1964 30
1965 47
1966 51
1967 42
1968 62
1969 54
1970 23
1971 32
1972 27
1973 26
1974 41
1975 67
1976 54
1977 64
1978 80
1979 59
1980 62
1981 78
1982 85
1983 130
1984 112
1985 178
1986 221
1987 245
1988 298
1989 422
1990 385
1991 440
1992 508
1993 582
1994 611
1995 641
1996 697
1997 590
1998 703
1999 945
2000 1218
2001 1394
2002 1521
2003 1561
2004 2186
2005 2807
2006 2597
2007 2937
2008 3005
2009 3362
2010 3673
2011 3754
2012 4256
2013 4087
2014 4564
2015 4898
2016 5003
2017 5279
2018 5476
2019 5765
2020 6843
2021 7256
2022 6914
2023 6731
2024 2022

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97,713 results

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Page 1
Monte Carlo simulations in radiotherapy dosimetry.
Andreo P. Andreo P. Radiat Oncol. 2018 Jun 27;13(1):121. doi: 10.1186/s13014-018-1065-3. Radiat Oncol. 2018. PMID: 29945636 Free PMC article. Review.
BACKGROUND: The use of the Monte Carlo (MC) method in radiotherapy dosimetry has increased almost exponentially in the last decades. ...
BACKGROUND: The use of the Monte Carlo (MC) method in radiotherapy dosimetry has increased almost exponentially in the last decades. …
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. The manuscript is part of a special tribute issue for Prof. Panos Macheras and we have chosen appli …
We present methods based on simple sampling Monte Carlo simulations that are used in the study of controlled drug release from device …
Accelerating MCMC algorithms.
Robert CP, Elvira V, Tawn N, Wu C. Robert CP, et al. Wiley Interdiscip Rev Comput Stat. 2018 Sep-Oct;10(5):e1435. doi: 10.1002/wics.1435. Epub 2018 Jun 13. Wiley Interdiscip Rev Comput Stat. 2018. PMID: 30167072 Free PMC article. Review.
Several techniques are available toward accelerating the convergence of these Monte Carlo algorithms, either at the exploration level (as in tempering, Hamiltonian Monte Carlo and partly deterministic methods) or at the exploitation level (with Rao-Blackwellization …
Several techniques are available toward accelerating the convergence of these Monte Carlo algorithms, either at the exploration level …
Approximate Bayesian Inference.
Alquier P. Alquier P. Entropy (Basel). 2020 Nov 10;22(11):1272. doi: 10.3390/e22111272. Entropy (Basel). 2020. PMID: 33287041 Free PMC article.
Application of Monte Carlo Algorithms to Cardiac Imaging Reconstruction.
Zhou J, Leja AG, Salvatori M, Latta DD, Di Fulvio A. Zhou J, et al. Curr Pharm Des. 2021;27(16):1960-1972. doi: 10.2174/1381612826999201228215225. Curr Pharm Des. 2021. PMID: 33371829 Review.
Monte Carlo algorithms have a growing impact on nuclear medicine reconstruction processes. ...In SPECT, no timing information can be retrieved to locate the primary source photons. Monte Carlo methods allow an event-by-event simulation of the scattering kinematics, …
Monte Carlo algorithms have a growing impact on nuclear medicine reconstruction processes. ...In SPECT, no timing information can be …
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 …
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 …
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 …
Quantum-Inspired Magnetic Hamiltonian Monte Carlo.
Mongwe WT, Mbuvha R, Marwala T. Mongwe WT, et al. PLoS One. 2021 Oct 5;16(10):e0258277. doi: 10.1371/journal.pone.0258277. eCollection 2021. PLoS One. 2021. PMID: 34610053 Free PMC article.
Hamiltonian Monte Carlo (HMC) is a Markov Chain Monte Carlo algorithm that is able to generate distant proposals via the use of Hamiltonian dynamics, which are able to incorporate first-order gradient information about the target posterior. ...In this work, we utili …
Hamiltonian Monte Carlo (HMC) is a Markov Chain Monte Carlo algorithm that is able to generate distant proposals via the use o …
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 …
97,713 results
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