Relevant bibliographies by topics / Drug analysis

Academic literature on the topic 'Drug analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 April 2022

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Journal articles on the topic "Drug analysis"

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Sriwijitalai, Won, and Viroj Wiwanitkit. "Drug–drug interaction analysis: Antituberculosis drugs versus antiretroviral drugs." Biomedical and Biotechnology Research Journal (BBRJ) 3, no. 2 (2019): 101. http://dx.doi.org/10.4103/bbrj.bbrj_52_19.

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Shumyantseva, V. V., T. V. Bulko, and P. I. Koroleva. "Drug Analysis Methods." Biomedical Chemistry: Research and Methods 2, no. 4 (2019): e00110. http://dx.doi.org/10.18097/bmcrm00110.

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Modern methods of analysis of drugs for their quantitative assessment are considered. Particular attention is paid to the electrochemical methods of drug registration, based on the reaction of electrooxidation of molecules. Systems and materials for modifying electrodes are described, as well as methods for producing modified electrodes for electrochemical reactions on the surface of electrodes. The authors present data on the electroanalysis of acetaminophen, diclofenac, ibuprofen, omeprazole, using electrodes modified with carbon nanomaterials based on carbon nanotubes and graphene. It was shown that electroanalytical methods allow the registration of therapeutic drugs in a wide range of detectable concentrations (0.1 μМ - 10 mM), which can be used to work with biological fluids (plasma, blood, urine), to conduct drug monitoring and study drug-drug interactions.
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Görög, Sándor. "Drug safety, drug quality, drug analysis." Journal of Pharmaceutical and Biomedical Analysis 48, no. 2 (September 2008): 247–53. http://dx.doi.org/10.1016/j.jpba.2007.10.038.

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Singh, Anil Kumar. "Drug analysis." Brazilian Journal of Pharmaceutical Sciences 47, no. 1 (March 2011): 194. http://dx.doi.org/10.1590/s1984-82502011000100026.

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Görög, S. "Drug analysis." TrAC Trends in Analytical Chemistry 11, no. 7 (August 1992): vi—vii. http://dx.doi.org/10.1016/0165-9936(92)87052-l.

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Mohd Ali, Yousoff Effendy, Kiam Heong Kwa, and Kurunathan Ratnavelu. "Predicting new drug indications from network analysis." International Journal of Modern Physics C 28, no. 09 (September 2017): 1750118. http://dx.doi.org/10.1142/s0129183117501182.

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This work adapts centrality measures commonly used in social network analysis to identify drugs with better positions in drug-side effect network and drug-indication network for the purpose of drug repositioning. Our basic hypothesis is that drugs having similar phenotypic profiles such as side effects may also share similar therapeutic properties based on related mechanism of action and vice versa. The networks were constructed from Side Effect Resource (SIDER) 4.1 which contains 1430 unique drugs with side effects and 1437 unique drugs with indications. Within the giant components of these networks, drugs were ranked based on their centrality scores whereby 18 prominent drugs from the drug-side effect network and 15 prominent drugs from the drug-indication network were identified. Indications and side effects of prominent drugs were deduced from the profiles of their neighbors in the networks and compared to existing clinical studies while an optimum threshold of similarity among drugs was sought for. The threshold can then be utilized for predicting indications and side effects of all drugs. Similarities of drugs were measured by the extent to which they share phenotypic profiles and neighbors. To improve the likelihood of accurate predictions, only profiles such as side effects of common or very common frequencies were considered. In summary, our work is an attempt to offer an alternative approach to drug repositioning using centrality measures commonly used for analyzing social networks.
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Aydin, Elif Burcu, Muhammet Aydin, and Mustafa Kemal Sezginturk. "Biosensors in Drug Discovery and Drug Analysis." Current Analytical Chemistry 15, no. 4 (July 3, 2019): 467–84. http://dx.doi.org/10.2174/1573411014666180912131811.

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Background: The determination of drugs in pharmaceutical formulations and human biologic fluids is important for pharmaceutical and medical sciences. Successful analysis requires low sensitivity, high selectivity and minimum interference effects. Current analytical methods can detect drugs at very low levels but these methods require long sample preparation steps, extraction prior to analysis, highly trained technical staff and high-cost instruments. Biosensors offer several advantages such as short analysis time, high sensitivity, real-time analysis, low-cost instruments, and short pretreatment steps over traditional techniques. Biosensors allow quantification not only of the active component in pharmaceutical formulations, but also the degradation products and metabolites in biological fluids. The present review gives comprehensive information on the application of biosensors for drug discovery and analysis. Moreover, this review focuses on the fabrication of these biosensors. Methods: Biosensors can be classified as the utilized bioreceptor and the signal transduction mechanism. The classification based on signal transductions includes electrochemical optical, thermal or acoustic. Electrochemical and optic transducers are mostly utilized transducers used for drug analysis. There are many biological recognition elements, such as enzymes, antibodies, cells that have been used in fabricating of biosensors. Aptamers and antibodies are the most widely used recognition elements for the screening of the drugs. Electrochemical sensors and biosensors have several advantages such as low detection limits, a wide linear response range, good stability and reproducibility. Optical biosensors have several advantages such as direct, real-time and label-free detection of many biological and chemical substances, high specificity, sensitivity, small size and low cost. Modified electrodes enhance sensitivity of the electrodes to develop a new biosensor with desired features. Chemically modified electrodes have gained attention in drug analysis owing to low background current, wide potential window range, simple surface renewal, low detection limit and low cost. Modified electrodes produced by modifying of a solid surface electrode via different materials (carbonaceous materials, metal nanoparticles, polymer, biomolecules) immobilization. Recent advances in nanotechnology offer opportunities to design and construct biosensors. Unique features of nanomaterials provide many advantages in the fabrication of biosensors. Nanomaterials have controllable chemical structures, large surface to volume ratios, functional groups on their surface. To develop proteininorganic hybrid nanomaterials, four preparation methods have been used. These methods are immobilization, conjugation, crosslinking and self-assembly. In the present manuscript, applications of different biosensors, fabricated by using several materials, for drug analysis are reviewed. The biosensing strategies are investigated and discussed in detail. Results: Several analytical techniques such as chromatography, spectroscopy, radiometry, immunoassays and electrochemistry have been used for drug analysis and quantification. Methods based on chromatography require timeconsuming procedure, long sample-preparation steps, expensive instruments and trained staff. Compared to chromatographic methods, immunoassays have simple protocols and lower cost. Electrochemical measurements have many advantages over traditional chemical analyses and give information about drug quantity, metabolic fate of drugs, and pharmacological activity. Moreover, the electroanalytical methods are useful to determine drugs sensitively and selectivity. Additionally, these methods decrease analysis cost and require low-cost instruments and simple sample pretreatment steps. Conclusion: In recent years, drug analyses are performed using traditional techniques. These techniques have a good detection limit, but they have some limitations such as long analysis time, expensive device and experienced personnel requirement. Increased demand for practical and low-cost analytical techniques biosensor has gained interest for drug determinations in medical sciences. Biosensors are unique and successful devices when compared to traditional techniques. For drug determination, different electrode modification materials and different biorecognition elements are used for biosensor construction. Several biosensor construction strategies have been developed to enhance the biosensor performance. With the considerable progress in electrode surface modification, promotes the selectivity of the biosensor, decreases the production cost and provides miniaturization. In the next years, advances in technology will provide low cost, sensitive, selective biosensors for drug analysis in drug formulations and biological samples.
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Kirilochev, Oleg O., Inna P. Dorfman, Adelya R. Umerova, and Svetlana E. Bataeva. "Potential drug-drug interactions in the psychiatric hospital: Frequency analysis." Research Results in Pharmacology 5, no. 4 (December 12, 2019): 1–6. http://dx.doi.org/10.3897/rrpharmacology.5.39681.

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Introduction: Drug-drug interactions are an important clinical problem in pharmacotherapy. This study is focused on different types of drugs used in a psychiatric hospital. Materials and methods: The pharmacoepidemiological study included the analysis of medical records of 500 psychiatric inpatients. The patients were divided into 2 groups: under 65 and over 65 years of age. All the drug prescriptions were analyzed to identify the combinations of drugs that can induce drug-drug interactions and determine their clinical significance. Results and discussion: Over 77% of hospitalized patients were administered drug combinations that could induce drug-drug interactions, most of which were of moderate clinical significance. A reliable association was found between the patient’s age, the clinical significance of drug-drug interactions, and the pharmacotherapy structure. The most common irrational drug combinations were identified. Conclusion: Timely analysis of drug prescriptions for potential drug-drug interactions can enhance the safety of pharmacotherapy and decrease the risk of adverse drug reactions in the psychiatric inpatient setting.
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Kumar Shukla, Ajay, Kumar Shukla, Rekha Mehani, Swati Jain, and Sheema Maqsood. "Analysis of FDA Novel Drug Approvals." Biomedical and Pharmacology Journal 14, no. 1 (March 28, 2021): 225–33. http://dx.doi.org/10.13005/bpj/2117.

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Background: United States Food and Drug Administration (FDA) is the fastest drug review agency in the world. FDA is responsible for the protection of public health by assuring that foods are safe, wholesome, sanitary and, properly labeled. Novel drug Approvals are usually innovative products to serve unmet medical needs or otherwise help to advance patient care. Methods: FDA novel drug approvals were analyzed from calendar year (CY) 2012 to 2018 based on not only their numbers but also BASED ON their impact, innovation, access, and predictability. Results: The total number of novel drugs approved from CY 2012 to 2018 was 279 (average 40 novel drugs/ year). Impact of novel drug approvals: 50% were first in class and 43% were for rare diseases. Overall expedited development and review methods were used in 63% of the novel drug approvals. Access of novel drug approvals: 84% were first-cycle approval, 74% were approved in the US before other countries, 58% priority reviews among novel drug approvals. Predictability of novel drug approvals: 98% approvals able to meet PDUFA goal dates for application review. Conclusions: Novel drug approvals during CY 2012-2018 had a high quality which is very much evident by their high impact, good access, and high predictability.
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Patel, Priyanka V. "DRUG REGULATION IN INDIA: SWOT ANALYSIS." International Journal of Drug Regulatory Affairs 3, no. 3 (February 13, 2018): 21–27. http://dx.doi.org/10.22270/ijdra.v3i3.168.

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Drug regulation plays pivotal role in any country because the purpose of drug regulation is to promote and to protect public health by ensuring the safety, efficacy and quality of drugs. Drug regulation should cover all products for which medicinal claims are made and all aspects of drugs like manufacturing, import, export, distribution, dispensing, promotion, sell and supply. But unfortunately drug regulation does not meet these requirements in India as legislation omits or exempts certain areas of pharmaceutical activity from the scope of control in India. Although there are so many deficiencies, lacunae and hurdles in Indian drug regulation, there is a wider scope for drug regulation in India because government is taking positive steps to reform it. One can say India is a vast ocean of opportunities. Hence it is tried to analyse the drug regulation of India using the framework of SWOT (Strengths, Weaknesses, Opportunities, Threats). SWOT analysis aids to find out possible ways to overcome the weaknesses and threats, and to utilize the strengths and opportunities properly
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Dissertations / Theses on the topic "Drug analysis"

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Mohiddin, Syed Basha. "Development of novel unsupervised and supervised informatics methods for drug discovery applications." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1138385657.

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Winter, David. "Drug analysis by mass spectrometry." Thesis, University of Canterbury. Chemistry, 1986. http://hdl.handle.net/10092/6560.

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1. The pharmacokinetics of morphine have been measured in four patients with renal failure and three healthy volunteers following intramuscular administration of papaveretum. Morphine blood levels were determined using GCMS with specific ion monitoring. The significantly shorter drug elimination half-life found for the patients suggests that renal failure does not impair the elimination of morphine. 2. A CI GCMS assay with specific ion monitoring has been developed for measuring the anti parkinsonian drug benztropine in post-mortem specimens. The assay is potentially more sensitive than a similar assay using electron impact ionisation. 3. The level of atropine in an aqueous extract of Datura stramonium has been measured by GCMS with selected ion monitoring. The results show that such an extract will contain most of the atropine present in the plant material. The levels are such that several medium sized glassfuls will contain sufficient atropine to constitute a dangerous drug dose. 4. A Hewlett-Packard 5982A GCMS has been successfully modified to allow it to be used to record in-beam mass spectra with a commercially available DCI probe. The effectiveness of these modifications is discussed and in-beam mass spectra of some physiologically active compounds are presented.
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Kimber, M. L. "Mass spectrometric methods in drug analysis." Thesis, Bucks New University, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.373602.

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Tuttle, Kimberly. "An Analysis of California Drug Courts: Why Drug Treatment Programs Should Have Teeth." Scholarship @ Claremont, 2019. https://scholarship.claremont.edu/cmc_theses/2124.

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Since the passing of Proposition 47 in California in 2014, drug court programs across the state have invariably undergone changes. In my thesis, I evaluate the drug court programs of three counties in Southern California: Orange County, Los Angeles County, and Riverside County. Through a qualitative analysis of the drug court programs in these counties, via interviews, data collection, and courtroom observation, I provide insight into the functionality of each county's program, as well as an analysis of the effects of Proposition 47. This paper aims to address the key factors involved in maintaining a functional and successful drug court system.
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Malm, Mikaela. "Drug Analysis : Bioanalytical Method Development and Validation." Doctoral thesis, Uppsala universitet, Analytisk kemi, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-8547.

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This thesis describes bioanalytical methods for drug determination in biological matrixes, with drugs in focus used against diseases largely affecting low-income countries. Solid-phase extraction is used for sample cleanup, and processed samples are analyzed by liquid chromatography. Developed bioanalytical methods are validated according to international guidelines. Eflornithine (DFMO) is a chiral drug, used for treating human African trypanosomiasis. A bioanalytical method for determination of DFMO enantiomers in plasma is presented. The enantiomers are detected by evaporative light-scattering detection. The method has been applied to determination of D-DFMO and L-DFMO in rats, after intravenous and oral administration of racemic DFMO. It is concluded that DFMO exhibits enantioselective absorption, with the more potent enantiomer L-DFMO being less favored. Sulfadoxine (SD) and sulfamethoxazole (SM) are sulfa-drugs used for malaria and pneumonia respectively. Two methods are described for simultaneous determination of SD and SM in capillary blood sampled on filter paper. The former method allows direct injection of extracts from dried blood spots (DBS), while for the latter method solid-phase extraction is added. Pre-analytical factors contributing to measurement uncertainty is also discussed, and it is concluded that it is of high importance that homogeneity in type of sampling paper and sampling volume is assured. Piperaquine (PQ) is an antimalarial, increasingly used in artemisinin combination therapy. A method for determination of piperaquine in DBS is presented. By using a monolithic LC column, a very short LC analysis of two minutes per sample is achieved. A method for simultaneous determination of three antiretroviral drugs i.e. lamivudine (3TC), zidovudine (AZT) and nevirapine (NVP), in DBS samples is described. The method is applied to drug determination in two subjects after receiving standard antiretroviral treatment. Conclusion is that the method is suitable for determination of 3TC and NVP, and to some extent for AZT.
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Donoso, Barrera Alejandra. "Nanomechanical sensor arrays for antibiotic drug analysis." Thesis, University College London (University of London), 2009. http://discovery.ucl.ac.uk/17276/.

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The increasing emergence of antibiotic-resistant bacterial strains, such as methicillin-resistant Staphylococci aeurus (MRSA) is driving the development of new technologies to investigate antibiotics. This thesis describes the use of BioMEMS cantilever technology for the label-free detection of glycopeptide antibiotics in solution, at concentrations as low as ~ 1 nM. Multiple cantilever arrays were used to detect the antibiotics vancomycin, ristomycin, chloroeremomycin and oritavancin, which are often considered as the ‘last line of resistance’ to bacterial infections. Cantilevers wee coated with thiolated mucopeptide analogues found in antibiotic-sensitive bacteria and mutated peptides found in resistant strains. Drug-mucopeptide binding was found to generate a compressive surface stress and could discriminate the deletion of a single hydrogen bond associated with resistant peptides. Measured binding constant were in close agreement with reported data. Building on these findings, a new model is proposed to describe the propagation of surface stress on cantilevers and considers two factors – a chemical binding factor describing local drug-target interactions and a factor describing the mechanical connectivity –percolation – of the system. These findings and underlying concepts will simplify the design of new coating and devices to significantly enhance drug detection sensitivity. The second part of this thesis describes two novel approaches to optimise microcantilever technology. The first approach investigates the role of the gold adhesion layer by comparing silane self-assembled monolayers with conventional chromium/titanium layers. The second approach describes finite element simulations of a novel silicon-metal hybrid strain gauge with gauge factors of up to 800 that could be used as an alternative to optical cantilever bending detection. Prototype strain gauges were fabricated and tested, where the measurements were shown to agree remarkably well with the simulations.
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Chow, Yat-ming Joe, and 周一鳴. "Policy analysis: school voluntary drug-testing scheme." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B46772625.

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García, Martín Meráz. "A theoretical approach : an exploratory analysis of higher level narcotraffickers of Latin American decent." Online access for everyone, 2007. http://www.dissertations.wsu.edu/Dissertations/Fall2007/M_Garcia_082007.pdf.

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Ng, Kwok-cheung. "An analysis of the anti-narcotics strategy in Hong Kong." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38598231.

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Ng, Yik-ying Katherine. "Risk factors an introduction to the sociopsychological analysis of drug use /." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38929004.

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Books on the topic "Drug analysis"

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Wagner, Hildebert, and Sabine Bladt. Plant Drug Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-00574-9.

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Dr, Wiese Michael, ed. Drug-membrane interactions: Analysis, drug distribution, modeling. Weinheim: Wiley-VCH, 2002.

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Smith, Richard J., and Michael L. Webb, eds. Analysis of Drug Impurities. Oxford, UK: Blackwell Publishing, 2007. http://dx.doi.org/10.1002/9780470988749.

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National Institute of Justice (U.S.), ed. Hair analysis as a drug detector. [Washington, D.C.]: U.S. Dept. of Justice, Office of Justice Programs, National Institute of Justice, 1995.

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Mieczkowski, Tom. Hair analysis as a drug detector. [Washington, D.C.]: U.S. Dept. of Justice, Office of Justice Programs, National Institute of Justice, 1995.

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Truhlar, Donald G. Rational Drug Design. New York, NY: Springer New York, 1999.

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Hansten, Philip D. Drug interactions: Analysis and management. St. Louis: Facts and Comparisons, 2000.

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1953-, Vidmar Thomas J., and McKean Joseph W. 1944-, eds. Drug interaction and lethality analysis. Boca Raton, Fla: CRC Press, 1988.

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Conrad, Roberson J., ed. Instrumental data for drug analysis. 2nd ed. Boca Raton: CRC Press, 1993.

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R, Horn John, ed. Drug interactions: Analysis and management. St. Louis, MO: Wolters Kluwer Health, 2006.

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Book chapters on the topic "Drug analysis"

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Harris, Howard A., and Henry C. Lee. "Drugs and drug analysis." In Introduction to Forensic Science and Criminalistics, 327–56. Second edition. | Boca Raton, FL : CRC Press, [2019] | Revised edition of : Introduction to forensics & criminalistics / Howard A. Harris, Henry Lee, c2008.: CRC Press, 2019. http://dx.doi.org/10.4324/9781315119175-13.

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Klebe, Gerhard. "Conformational Analysis." In Drug Design, 335–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-17907-5_16.

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Turner, J. Rick. "Statistical Analysis." In New Drug Development, 99–114. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6418-2_8.

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Hand, David J. "Synergy in Drug Combinations." In Data Analysis, 471–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-58250-9_38.

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Stawny, Maciej, Mikołaj Piekarski, and Barbara Marciniec. "Analysis of Drug Impurities." In Handbook of Trace Analysis, 181–202. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-19614-5_8.

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Bijnsdorp, Irene V., Elisa Giovannetti, and Godefridus J. Peters. "Analysis of Drug Interactions." In Methods in Molecular Biology, 421–34. Totowa, NJ: Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-080-5_34.

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Deriu, Daniela, and Franco Mazzei. "Biosensors for Drug Analysis." In Analytical Techniques for Clinical Chemistry, 455–78. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118271858.ch16.

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Bell, Suzanne. "Overview of Drug Analysis." In Forensic Chemistry, 215–61. 3rd ed. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.4324/9780429440915-6.

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Thangaraj, Parimelazhagan. "Proximate Composition Analysis." In Progress in Drug Research, 21–31. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26811-8_5.

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Ness, Scott A. "Basic Microarray Analysis." In Bioinformatics and Drug Discovery, 13–33. Totowa, NJ: Humana Press, 2006. http://dx.doi.org/10.1385/1-59259-964-8:13.

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Conference papers on the topic "Drug analysis"

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Kim, H., S. Min, S. Yu, Y. Jung, and H. Jeong. "4CPS-233 Analysis of drug prescriptions of incompatible drugs through drug utilisation review." In 24th EAHP Congress, 27th–29th March 2019, Barcelona, Spain. British Medical Journal Publishing Group, 2019. http://dx.doi.org/10.1136/ejhpharm-2019-eahpconf.382.

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Huang, Yu-Ting, Shih-Fang Lin, Chung-Cheng Chiu, Hsiang-Yuan Yeh, and Von-Wun Soo. "Probability Analysis on Associations of Adverse Drug Events with Drug-Drug Interactions." In 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering. IEEE, 2007. http://dx.doi.org/10.1109/bibe.2007.4375737.

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Lee, Kyubum, Sunwon Lee, Minji Jeon, Jaehoon Choi, and Jaewoo Kang. "Drug-drug interaction analysis using heterogeneous biological information network." In 2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2012. http://dx.doi.org/10.1109/bibm.2012.6392634.

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Bahce, Asli, Semih Utku, and Canan Eren Atay. "Rational Drug Use and equivalent drugs price analysis in prescription." In 2015 Medical Technologies National Conference (TIPTEKNO). IEEE, 2015. http://dx.doi.org/10.1109/tiptekno.2015.7374559.

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Lurie, Ira S. "Capillary electrophoresis for drug analysis." In Enabling Technologies for Law Enforcement and Security, edited by Kathleen Higgins. SPIE, 1999. http://dx.doi.org/10.1117/12.334523.

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Kelly, Douglas, Dominic Alibhai, Sean Warren, Sunil Kumar, Anca Margineanu, Franck Stuhmeier, Edward J. Murray, et al. "An Automated FLIM Multiwell Plate Reader for High Content Analysis." In Optical Molecular Probes, Imaging and Drug Delivery. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/omp.2013.mm4c.3.

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Alonzo, Carlo A., Kyle P. Quinn, Rebecca S. Hayden, David L. Kaplan, and Irene Georgakoudi. "Monitoring Osteoblastic Differentiation with Multivariate Analysis of Fluorescence Lifetime Imaging." In Optical Molecular Probes, Imaging and Drug Delivery. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/omp.2013.mth1c.7.

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Turjap, M., O. Nedopílková, and J. Juřica. "6ER-037 Drug–drug interactions with QT prolonging drugs in patients admitted to a cardiovascular department: a retrospective analysis." In 25th Anniversary EAHP Congress, Hospital Pharmacy 5.0 – the future of patient care, 23–28 March 2021. British Medical Journal Publishing Group, 2021. http://dx.doi.org/10.1136/ejhpharm-2021-eahpconf.361.

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TAKARABE, MASATAKA, SHUJIRO OKUDA, MASUMI ITOH, TOSIHAKI TOKIMATSU, SUSUMU GOTO, and MINORU KANEHISA. "NETWORK ANALYSIS OF ADVERSE DRUG INTERACTIONS." In Proceedings of the 8th Annual International Workshop on Bioinformatics and Systems Biology (IBSB 2008). IMPERIAL COLLEGE PRESS, 2008. http://dx.doi.org/10.1142/9781848163003_0022.

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Chang, Hyuk-Jun. "Analysis of the emergence of drug resistant HIV for drug scheduling methods." In 2017 IEEE 56th Annual Conference on Decision and Control (CDC). IEEE, 2017. http://dx.doi.org/10.1109/cdc.2017.8264263.

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Reports on the topic "Drug analysis"

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Moore, Wayne A. National Drug Control Strategy: An Historical Analysis. Fort Belvoir, VA: Defense Technical Information Center, April 1999. http://dx.doi.org/10.21236/ada363804.

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Kuziemko, Ilyana, and Steven Levitt. An Empirical Analysis of Imprisoning Drug Offenders. Cambridge, MA: National Bureau of Economic Research, September 2001. http://dx.doi.org/10.3386/w8489.

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Gabrielsen, Karl J. Critical Factors Analysis Applied to the Drug War. Fort Belvoir, VA: Defense Technical Information Center, February 1998. http://dx.doi.org/10.21236/ada348593.

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Levitt, Steven, and Sudhir Alladi Venkatesh. An Economic Analysis of a Drug-Selling Gang's Finances. Cambridge, MA: National Bureau of Economic Research, June 1998. http://dx.doi.org/10.3386/w6592.

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5

Bellows, David S. Anti-Cancer Drug Discovery Using Synthetic Lethal Chemogenetic (SLC) Analysis. Fort Belvoir, VA: Defense Technical Information Center, July 2004. http://dx.doi.org/10.21236/ada434327.

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Bellows, David S. Anti-Cancer Drug Discovery Using Synthetic Lethal Chemogenetic (SLC) Analysis. Fort Belvoir, VA: Defense Technical Information Center, July 2006. http://dx.doi.org/10.21236/ada460468.

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Gowrisankaran, Gautam, and Robert Town. Managed Care, Drug Benefits and Mortality: An Analysis of the Elderly. Cambridge, MA: National Bureau of Economic Research, January 2004. http://dx.doi.org/10.3386/w10204.

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Silverman, Kenneth, and Elias Robles. Employment as a Drug Abuse Treatment Intervention: A Behavioral Economic Analysis. Cambridge, MA: National Bureau of Economic Research, February 1998. http://dx.doi.org/10.3386/w6402.

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Glaeser, Edward, Daniel Kessler, and Anne Morrison Piehl. What Do Prosecutors Maximize? An Analysis of Drug Offenders and Concurrent Jurisdiction. Cambridge, MA: National Bureau of Economic Research, June 1998. http://dx.doi.org/10.3386/w6602.

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Corman, Hope, and H. Naci Mocan. A Time-Series Analysis of Crime and Drug Use in New York City. Cambridge, MA: National Bureau of Economic Research, February 1996. http://dx.doi.org/10.3386/w5463.

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