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Статті в журналах з теми "Biological dose"
Oftedal, Per. "Biological low-dose radiation effects." Mutation Research/Reviews in Genetic Toxicology 258, no. 2 (September 1991): 191–205. http://dx.doi.org/10.1016/0165-1110(91)90009-k.
Повний текст джерелаAlber, Markus. "Normal tissue dose-effect models in biological dose optimisation." Zeitschrift für Medizinische Physik 18, no. 2 (June 2008): 102–10. http://dx.doi.org/10.1016/j.zemedi.2007.08.002.
Повний текст джерелаJaikuna, Tanwiwat, Phatchareewan Khadsiri, Nisa Chawapun, Suwit Saekho, and Ekkasit Tharavichitkul. "Isobio software: biological dose distribution and biological dose volume histogram from physical dose conversion using linear-quadratic-linear model." Journal of Contemporary Brachytherapy 1 (2017): 44–51. http://dx.doi.org/10.5114/jcb.2017.66082.
Повний текст джерелаIWASAKI, Toshiyasu, and Masanori TOMITA. "Biological Effects of Low dose/Low dose-rate Ionizing Radiation." Journal of the Atomic Energy Society of Japan 51, no. 9 (2009): 668–73. http://dx.doi.org/10.3327/jaesjb.51.9_668.
Повний текст джерелаPinto, M., and A. Amaral. "Biological dose assessment after low-dose overexposures in nuclear medicine." Radiation Protection Dosimetry 162, no. 3 (November 13, 2013): 254–59. http://dx.doi.org/10.1093/rpd/nct285.
Повний текст джерелаKoteles, G. J. "Biological responses in low-dose range." International Journal of Low Radiation 2, no. 1/2 (2006): 97. http://dx.doi.org/10.1504/ijlr.2006.007900.
Повний текст джерелаJoiner, M. C., S. A. Krueger, G. D. Wilson, and B. Marples. "41 Low-dose hypersensitivity: Biological mechanism." Radiotherapy and Oncology 78 (March 2006): S15. http://dx.doi.org/10.1016/s0167-8140(06)80535-9.
Повний текст джерелаNenot, J. C. "Biological Indicators for Radiation Dose Assessment." International Journal of Radiation Biology and Related Studies in Physics, Chemistry and Medicine 52, no. 1 (January 1987): 177. http://dx.doi.org/10.1080/09553008714551601.
Повний текст джерелаChen, Y., X. K. Yan, J. Du, Z. D. Wang, X. Q. Zhang, F. G. Zeng, and P. K. Zhou. "Biological dose estimation for accidental supra-high dose gamma-ray exposure." Radiation Measurements 46, no. 9 (September 2011): 837–41. http://dx.doi.org/10.1016/j.radmeas.2011.04.001.
Повний текст джерелаZhang, Qinghui, Suqing Tian, and Giovanni Borasi. "A new definition of biological effective dose: The dose distribution effects." Physica Medica 31, no. 8 (December 2015): 1060–64. http://dx.doi.org/10.1016/j.ejmp.2015.07.145.
Повний текст джерелаДисертації з теми "Biological dose"
Fenwick, John David. "Biological modelling of pelvic radiotherapy : potential gains from conformal techniques." Thesis, Institute of Cancer Research (University Of London), 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322314.
Повний текст джерелаVerma, Malvika. "Gastric resident systems for large dose drug delivery." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123066.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (pages 154-176).
Lack of medication adherence is a worldwide problem. As many as 50-70% of patients have trouble following treatment recommendations. Whereas adherence is driven by many factors including the socioeconomic status of a patient and the quality of the health care team, drug regimen complexity also affects treatment outcomes. For example, adherence decreases as the number of pills per dose and the number of doses per day increases. For diseases where potent medications are available, depot formulations provide sustained drug release to simplify dosing. For diseases lacking potent compounds for treatment, there remains an unmet need for depot systems that could transform medication adherence. Tuberculosis (TB) is one such disease with a high pill burden, where poor patient adherence to the treatment regimen is a major cause of treatment failure and contributes to the emergence of drug-resistant TB strains.
For example, an average 60-kg patient with TB needs to take 3.3 g of antibiotics per day, which is a dose that exceeds the largest swallowable capsule and current depot systems. According to the World Health Organization (WHO), 10 million people developed TB in 2017 with a global economic burden amounting to $12 billion annually. This thesis presents a solution to the challenge of prolonged dosing for regimens such as TB that require multigram drug dosing. First, a gastric resident system (GRS) compatible with transesophageal administration was designed using biocompatible materials. The GRS consists of a series of drug pills on a coiled superelastic nitinol wire; the ends are protected with a retainer and tubing. Safe administration, gastric retention for 1 month, and retrieval of the GRS were demonstrated in a swine model. Next, sustained release formulations for 6 TB antibiotics were formulated into drug-polymer pills, and first-order drug release kinetics were achieved in vitro.
Then, the GRS was demonstrated to be capable of safely encapsulating and releasing 10 grams of an antibiotic over the period of weeks in a swine model. Lastly, end-user assessment was evaluated with a field questionnaire in India and an economic model to estimate the impact of the GRS on the health care system. There are multiple applications of the GRS in the field of infectious diseases, as well as for other indications where multigram depots could impart meaningful benefits to patients, helping maximize adherence to their medication.
"Funding and Resources: -- Bill and Melinda Gates Foundation -- National Institutes of Health -- National Science Foundation Graduate Research Fellowship -- MIT Tata Center and leadership team for believing in and guiding our project"
by Malvika Verma.
Ph. D.
Ph.D. Massachusetts Institute of Technology, Department of Biological Engineering
Hollmark, Malin. "Absorbed dose and biological effect in light ion therapy." Doctoral thesis, Stockholm : Medical Radiation Physics, Stockholm university together with KI, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-7756.
Повний текст джерелаZackrisson, Björn. "Biological effects of high energy radiation and ultra high dose rates." Doctoral thesis, Umeå universitet, Onkologisk radiobiologi, 1991. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-96889.
Повний текст джерелаS. 1-44: sammanfattning, s. 47-130: 5 uppsatser
digitalisering@umu
Hann, Robert Mark. "Estimation of the median effective dose in quantal response biological assay." Thesis, Liverpool John Moores University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299065.
Повний текст джерелаAli, Yasmine. "Biological dose estimation in hadrontherapy using the GATE Monte Carlo simulation platform." Thesis, Lyon, 2021. http://www.theses.fr/2021LYSE1329.
Повний текст джерелаOne of the current challenges in hadrontherapy is the evaluation of the biological effects due to microscopic pattern of energy deposition of ions. Treatment Planning Systems (TPS) should optimize beam parameters taking into account their predictions through the calculation of the biological dose in addition to the physical dose. To estimate the biological dose, biophysics models have been developed such as the mMKM and NanOx models. Some input parameters of the models are generally estimated with Monte Carlo Track Structure Codes such as Geant4-DNA and LPCHEM codes. Both codes are able to perform the simulation of ion and electron transport in water down to some eV as well as the evaluation of the chemical species generated during water radiolysis between 10-12 and 10-6 s. In this work, we first compared the outcome of LPCHEM and Geant4-DNA in terms of specific energy in nano and micro targets as well as yields of chemical species (input of the biophysical models). Then, we enhanced the GATE Monte Carlo simulation platform by creating a “Biodose actor” in order to estimate the biological dose for different clinical Spread-out Bragg Peaks (SOBP) with hydrogen, helium and carbon ion beams. We performed the first comparison between the LPCHEM and Geant4-DNA codes for the simulation of nanodosimetry spectra in the track core and the production of chemical species yields for water irradiations with charged particles (10 MeV protons). The total specific energy spectra in nanometric targets and the chemical yields predicted by the two codes are in good agreement. Besides the implementation of the BioDose actor in GATE has been tested and validated with comparison against experimental cell survival obtained in several SOBP. This tool paves the way of facilitated benchmarking between different models and evaluation approaches
Gayzik, Francis Scott. "Optimal Control of Thermal Damage to Biological Materials." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/35087.
Повний текст джерелаThe transient temperature distribution within the region is simulated using a two- dimensional, finite-difference model of the Pennes bioheat equation. The relationship between temperature and time is integrated to produce a damage field according to two different models; Henriques'' model and the thermal dose model (Moritz and Henriques (1947)), (Sapareto and Dewey (1984)). A minimization algorithm is developed which re duces the value of an objective function based on the squared difference between an optimal and calculated damage field. Either damage model can be used in the minimization algorithm. The adjoint problem in conjunction with the conjugate gradient method is used to minimize the objective function of the control problem.
The flexibility of the minimization algorithm is proven experimentally and through a variety of simulations. With regards to the validation experiment, the optimal and recovered regions of permanent thermal damage are in good agreement for each test performed. A sensitivity analysis of the finite difference and damage models shows that the experimentally-obtained extent of damage is consistently within a tolerable error range.
Excellent agreement between the optimal and recovered damage fields is also found in
simulations of hyperthermia treatments on perfused tissue. A simplified and complex model
of the human skin were created for use within the algorithm. Minimizations using both the
Henriques'' model and the thermal dose model in the objective function are performed.
The Henriques'' damage model was found to be more desirable for use in the minimization algorithm than the thermal dose model because it is less computationally intensive
and includes a mechanism to predict the threshold of permanent thermal damage. The
performance of the minimization algorithm was not hindered by adding complexity to the skin
model. The method presented here for optimizing hyperthermia treatments is shown to be
robust and merits further investigation using more complicated patient models.
Master of Science
Gayzik, F. Scott. "Optimal Control of Thermal Damage to Biological Materials." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/35087.
Повний текст джерелаMaster of Science
Harvey, Jane Ellen. "Long-term and high dose opioid medicine use in the U.K." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/52175/.
Повний текст джерелаNiebuhr, Nina Isabelle [Verfasser], and Joao [Akademischer Betreuer] Seco. "Biological Dose Accumulation in Image-guided Radiotherapy / Nina Isabelle Niebuhr ; Betreuer: Joao Seco." Heidelberg : Universitätsbibliothek Heidelberg, 2021. http://d-nb.info/1224684508/34.
Повний текст джерелаКниги з теми "Biological dose"
Loevinger, Robert. MIRD primer for absorbed dose calculations. New York, NY: Society of Nuclear Medicine, 1988.
Знайти повний текст джерелаHughes, Donald. Notes on ionizing radiation: Biological effects, quantities dose limits and regulations. Leeds: H and H Scientific Consultants, 1991.
Знайти повний текст джерелаTsutomu, Sugahara, Sagan Leonard A, and Aoyama Takashi, eds. Low dose irradiation and biological defense mechanisms: Proceedings of the International Conference on Low Dose Irradiation and Biological Defense Mechanisms, Kyoto, Japan, 12-16 July 1992. Amsterdam: Excerta Medica, 1992.
Знайти повний текст джерелаTakeshi, Yamada, ed. Biological effects of low dose radiation: Proceedings of the International Meeting on Biological Effects of Low Dose Radiation held in Cork, Ireland on 25-26 July 1999. Amsterdam: Elsevier, 2000.
Знайти повний текст джерелаFujioka, Jeffrey T. Log-likelihood ratio tests for comparing dose-response data to the logistic function. Auke Bay, Alaska: National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Northwest and Alaska Fisheries Center, Auke Bay Laboratory, 1986.
Знайти повний текст джерелаFujioka, Jeffrey T. Log-likelihood ratio tests for comparing dose-response data to the logistic function. Auke Bay, Alaska: National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Northwest and Alaska Fisheries Center, Auke Bay Laboratory, 1986.
Знайти повний текст джерелаL, Gledhill Barton, and Mauro Francesco, eds. New horizons in biological dosimetry: Proceedings of the International Symposium on Trends in Biological Dosimetry, held in Lerici, Italy, October 23-27, 1990. New York: Wiley-Liss, 1991.
Знайти повний текст джерелаInternational Conference on Biological Effects of Large Dose Ionizing and Non-ionizing Radiation (1988 Hongzhou, China). Radiation biological effects modifiers and treatment: Proceedings of the International Conference on Biological Effects of Large Dose Ionizing and Non-ionizing Radiation, Hangzhou, March 29-April 1, 1988. Beijing, China: Society of Radiation Medicine and Protection, Chinese Medical Association, 1988.
Знайти повний текст джерелаMeasurements, National Council on Radiation Protection and. The relative biological effectiveness of radiations of different quality: Recommendations of the National Council on Radiation Protection and Measurements. Bethesda, MD: The Council, 1990.
Знайти повний текст джерелаHanford Life Sciences Symposium (26th 1987 Richland, Wash.). Modeling for scaling to man: Biology, dosimetry, and response, [proceedings of the] 26th Hanford Life Sciences Symposium. Edited by Mahaffey Judith A. New York: Pergamon Press, 1989.
Знайти повний текст джерелаЧастини книг з теми "Biological dose"
Gruler, Hans. "Chemokinesis, Chemotaxis and Galvanotaxis Dose-Response Curves and Signal Chains." In Biological Motion, 396–414. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-51664-1_28.
Повний текст джерелаNigg, H. N., and J. H. Stamper. "Biological Monitoring for Pesticide Dose Determination." In Biological Monitoring for Pesticide Exposure, 6–27. Washington, DC: American Chemical Society, 1988. http://dx.doi.org/10.1021/bk-1988-0382.ch001.
Повний текст джерелаSaunders, M. I. "Fractionation as a Biological Dose Modifier." In Progress and Perspective in the Treatment of Lung Cancer, 151–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-59824-1_13.
Повний текст джерелаBethge, Klaus, Gerhard Kraft, Peter Kreisler, and Gertrud Walter. "Radiation Safety and Dose Limitations." In Biological and Medical Physics, Biomedical Engineering, 89–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-08608-7_6.
Повний текст джерелаMouttet-Audouard, Raphaëlle, Thomas Lacornerie, and Eric Lartigau. "Cyberknife, Dose Fractioning for Clinical Protocols." In Biological and Medical Physics, Biomedical Engineering, 51–65. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31563-8_3.
Повний текст джерелаAhn, Chul, Seung-Ho Kang, and Yang Xie. "Optimal Biological Dose for Molecularly Targeted Therapies." In Methods and Applications of Statistics in Clinical Trials, 496–505. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118596333.ch29.
Повний текст джерелаGamberoni, Giacomo, Evelina Lamma, Paola Mello, Piercamillo Pavesi, Sergio Storari, and Giuseppe Trocino. "Learning the Dose Adjustment for the Oral Anticoagulation Treatment." In Biological and Medical Data Analysis, 171–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30547-7_18.
Повний текст джерелаSherman, Arthur, Patricia Carroll, Rosa M. Santos, and Illani Atwater. "Glucose Dose Response of Pancreatic β-Cells: Experimental and Theoretical Results." In Transduction in Biological Systems, 123–41. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4684-5736-0_9.
Повний текст джерелаGoldman, Marvin. "Retrospective Radiation Dose Assessment: An Overview of Physical and Biological Measures of Dose." In Ciba Foundation Symposium 203 - Health Impacts of Large Releases of Radionuclides, 178–87. Chichester, UK: John Wiley & Sons, Ltd., 2007. http://dx.doi.org/10.1002/9780470515006.ch13.
Повний текст джерелаBarquinero, Joan Francesc, and Pere Puig. "Biological Dosimetry, Statistical Challenges: Biological Dosimetry After High-Dose Exposures to Ionizing Radiation." In Trends in Mathematics, 67–70. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55639-0_11.
Повний текст джерелаТези доповідей конференцій з теми "Biological dose"
Hoopes, P. Jack, Alicia A. Petryk, Andrew J. Giustini, Robert V. Stigliano, Robert N. D'Angelo, Jennifer A. Tate, Shiraz M. Cassim, et al. "Nanoparticle-based cancer treatment: can delivered dose and biological dose be reliably modeled and quantified?" In SPIE BiOS, edited by Thomas P. Ryan. SPIE, 2011. http://dx.doi.org/10.1117/12.877026.
Повний текст джерелаMuflic, Lucian, and Ileana Ion. "ANTI-TUMOR NECROSIS FACTOR ALPHA BIOLOGIC THERAPY DOSE ADJUSTMENT NECESSITY IN PATIENTS WITH RHEUMATOID ARTHRITIS. A CASE PRESENTATION." In NORDSCI International Conference Proceedings. Saima Consult Ltd, 2019. http://dx.doi.org/10.32008/nordsci2019/b1/v2/36.
Повний текст джерелаDoria, D., K. F. Kakolee, S. Kar, S. K. Litt, F. Fiorini, H. Ahmed, S. Green, et al. "Biological cell irradiation at ultrahigh dose rate employing laser driven protons." In LIGHT AT EXTREME INTENSITIES 2011. AIP, 2012. http://dx.doi.org/10.1063/1.4736777.
Повний текст джерелаNose, Hiroyuki, Naruhiro Matsufuji, Yuki Kase, and Tatsuaki Kanai. "Biological dose distribution analysis with microdosimetry; experiment and monte carlo simulation." In 2007 IEEE Nuclear Science Symposium Conference Record. IEEE, 2007. http://dx.doi.org/10.1109/nssmic.2007.4437151.
Повний текст джерелаShaowei, Wang. "Radiation Dose Evaluation of Marine Organisms for Coastal Nuclear Power Plant." In 2017 25th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/icone25-67832.
Повний текст джерелаBolodon, Vladimir, and Eugene A. Chernitsky. "About nonlinearity of dependence of dose-effect in photodamage of biological membranes." In Laser Applications in Life Sciences: 5th International Conference, edited by Pavel A. Apanasevich, Nikolai I. Koroteev, Sergei G. Kruglik, and Victor N. Zadkov. SPIE, 1995. http://dx.doi.org/10.1117/12.197491.
Повний текст джерелаLi, C. F., D. D. Li, and Z. C. Wang. "Apoptotic modulation role of caspase-9 and -3 in testicular cells induced by low dose radiation." In International Conference on Environmental Science and Biological Engineering. Southampton, UK: WIT Press, 2014. http://dx.doi.org/10.2495/esbe140421.
Повний текст джерелаWang, Xinyi, Jianlong Yang, Aili Zhang, and Lisa X. Xu. "Thermal Dose Images Enhance the Prediction of Local Tumor Progression After Multimode Ablation." In BIBE2021: The Fifth International Conference on Biological Information and Biomedical Engineering. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3469678.3469694.
Повний текст джерела"Assessment of Thyroid Absorbed Dose During Breast Radiotherapy with TLD and Treatment Planning Methods and Its Relation with Radiotherapy Field." In International Institute of Chemical, Biological & Environmental Engineering. International Institute of Chemical, Biological & Environmental Engineering, 2015. http://dx.doi.org/10.15242/iicbe.c0615096.
Повний текст джерелаLarionov, Pjotr M., Alexey N. Malov, Nikolai A. Maslov, and Anatoliy M. Orishich. "The effect of UV radiation dose on biological tissues' laser-induced fluorescence spectra." In SPIE Proceedings, edited by Valery V. Tuchin. SPIE, 2004. http://dx.doi.org/10.1117/12.579163.
Повний текст джерелаЗвіти організацій з теми "Biological dose"
Bechtold, W. E., and R. B. Hayes. Biological monitoring to determine worker dose in a butadiene processing plant. Office of Scientific and Technical Information (OSTI), December 1995. http://dx.doi.org/10.2172/381369.
Повний текст джерелаEidson, A. Biological characterization of radiation exposure and dose estimates for inhaled uranium milling effluents. Office of Scientific and Technical Information (OSTI), June 1990. http://dx.doi.org/10.2172/6820217.
Повний текст джерелаAuerbach, Scott, Chad Blystone, B. Alex Merrick, Georgia Roberts, Daniel Morgan, John Bucher, Michael DeVito, et al. NTP Research Report on In Vivo Repeat Dose Biological Potency Study of Triphenyl Phosphate (CAS No. 115-86-6) in Male Sprague Dawley Rats (Hsd: Sprague Dawley SD) (Gavage Studies). NIEHS, October 2018. http://dx.doi.org/10.22427/ntp-rr-8.
Повний текст джерелаKleven, Henrik, Camille Landais, and Jakob Egholt Søgaard. Does Biology Drive Child Penalties? Evidence from Biological and Adoptive Families. Cambridge, MA: National Bureau of Economic Research, May 2020. http://dx.doi.org/10.3386/w27130.
Повний текст джерелаWester, Ronald C. Bioavailability of Organic Solvents in soils: Input into Biologically Based Dose-Response Models for Human Risk Assessments. Office of Scientific and Technical Information (OSTI), June 1999. http://dx.doi.org/10.2172/828375.
Повний текст джерелаWester, Ronald C. Bioavailability Of Organic Solvents In Soils: Input Into Biologically Based Dose-Response Models for Human Risk Assessments. Office of Scientific and Technical Information (OSTI), December 2000. http://dx.doi.org/10.2172/828376.
Повний текст джерелаWester, Ronald C. Bioavailability of Organic Solvents in Soils: Input into Biologically-Based Dose- Response Models for Human Risk Assessments. Office of Scientific and Technical Information (OSTI), June 2000. http://dx.doi.org/10.2172/828368.
Повний текст джерелаRoyette Tavernier, Ph.D., Royette Tavernier, Ph D. Battle of the clocks: Does your biological clock determine whether the timing of exercise impairs or promotes sleep? Experiment, October 2016. http://dx.doi.org/10.18258/8234.
Повний текст джерелаWebster, R. C. Bioavailability of Organic Solvents in Soils: Input into Biologically Based Dose-Response Models for Human Risk Assessments - Final Report. Office of Scientific and Technical Information (OSTI), October 2000. http://dx.doi.org/10.2172/775523.
Повний текст джерелаWester, R. C., and H. I. Maibach. Bioavailability of organic solvents in soils: Input into biologically based dose-response models for human risk assessments. 1998 annual progress report. Office of Scientific and Technical Information (OSTI), June 1998. http://dx.doi.org/10.2172/13599.
Повний текст джерела