984 resultados para drug industry
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From the Introduction. The pharmaceutical sector inquiry carried out by the European Commission in 2008 provides a useful framework for assessing the relationship between the patent system on the one hand and competition policy and law on the other hand. The pharmaceutical market is not only specifically regulated. It is also influenced by the special characteristics of the patent system which enables pharmaceutical companies engaged in research activities to enter into additional arrangements to cope with the competitive pressures of early patent application and the delays in drug approval. Patents appear difficult to reconcile with the need for sufficient and adequate access to medicines, which is why competition expectations imposed on the pharmaceutical sector are very high. The patent system and competition law are interacting components of the market, into which they must both be integrated. This can result in competition law taking a very strict view on the pharmaceutical industry by establishing strict functional performance standards for the reliance on intellectual property rights protection granted by patent law. This is in particular because in this sector the potential welfare losses are not likely to be of only monetary nature. In brief, the more inefficiencies the patent system produces, the greater the risk of an expansive application of competition law in this field. The aim of the present study is to offer a critical and objective view on the use or abuse of patents and defensive strategies in the pharmaceutical industry. It shall also seek to establish whether patents as presently regulated offer an appropriate degree of protection of intellectual property held by the economic operators in the pharmaceutical sector and whether there is a need or, for that matter, scope for improvement. A useful starting point for the present study is provided by the pharmaceutical sector competition inquiry (hereafter “the sector inquiry”) carried out by the European Commission during the first half of 2008. On 8 July 2008, the Commission adopted its Final Report pursuant to Article 17 of Regulation 1/2003 EC, revealing a series of “antitrust shortcomings” that would require further investigation1.
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Dissertação para obtenção do grau de Mestre no Instituto Superior de Ciências da Saúde Egas Moniz
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Mode of access: Internet.
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Mode of access: Internet.
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Vols. include the proceedings (some summarized, some official stenographic reports) of the National Wholesale Druggists' Association (called 18 -1882, Western Wholesale Druggists' Association) and of other similar organizations.
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Mode of access: Internet.
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Prescription drug samples, as used by the pharmaceutical industry to market their products, are of current interest because of their influence on prescribing, and their potential impact on consumer safety. Very little research has been conducted into the use and misuse of prescription drug samples, and the influence of samples on health policies designed to improve the rational use of medicines. This is a topical issue in the prescription drug debate, with increasing costs and increasing concerns about optimizing use of medicines. This manuscript critically evaluates the research that has been conducted to date about prescription drug samples, discusses the issues raised in the context of traditional marketing theory, and suggests possible alternatives for the future.
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Multidimensional compound optimization is a new paradigm in the drug discovery process, yielding efficiencies during early stages and reducing attrition in the later stages of drug development. The success of this strategy relies heavily on understanding this multidimensional data and extracting useful information from it. This paper demonstrates how principled visualization algorithms can be used to understand and explore a large data set created in the early stages of drug discovery. The experiments presented are performed on a real-world data set comprising biological activity data and some whole-molecular physicochemical properties. Data visualization is a popular way of presenting complex data in a simpler form. We have applied powerful principled visualization methods, such as generative topographic mapping (GTM) and hierarchical GTM (HGTM), to help the domain experts (screening scientists, chemists, biologists, etc.) understand and draw meaningful decisions. We also benchmark these principled methods against relatively better known visualization approaches, principal component analysis (PCA), Sammon's mapping, and self-organizing maps (SOMs), to demonstrate their enhanced power to help the user visualize the large multidimensional data sets one has to deal with during the early stages of the drug discovery process. The results reported clearly show that the GTM and HGTM algorithms allow the user to cluster active compounds for different targets and understand them better than the benchmarks. An interactive software tool supporting these visualization algorithms was provided to the domain experts. The tool facilitates the domain experts by exploration of the projection obtained from the visualization algorithms providing facilities such as parallel coordinate plots, magnification factors, directional curvatures, and integration with industry standard software. © 2006 American Chemical Society.
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A history of government drug regulation and the relationship between the pharmaceutical companies in the U.K. and the licensing authority is outlined. Phases of regulatory stringency are identified with the formation of the Committees on Safety of Drugs and Medicines viewed as watersheds. A study of the impact of government regulation on industrial R&D activities focuses on the effects on the rate and direction of new product innovation. A literature review examines the decline in new chemical entity innovation. Regulations are cited as a major but not singular cause of the decline. Previous research attempting to determine the causes of such a decline on an empirical basis is given and the methodological problems associated with such research are identified. The U.K. owned sector of the British pharmaceutical industry is selected for a study employing a bottom-up approach allowing disaggregation of data. A historical background to the industry is provided, with each company analysed or a case study basis. Variations between companies regarding the policies adopted for R&D are emphasised. The process of drug innovation is described in order to determine possible indicators of the rate and direction of inventive and innovative activity. All possible indicators are considered and their suitability assessed. R&D expenditure data for the period 1960-1983 is subsequently presented as an input indicator. Intermediate output indicators are treated in a similar way and patent data are identified as a readily-available and useful source. The advantages and disadvantages of using such data are considered. Using interview material, patenting policies for most of the U.K. companies are described providing a background for a patent-based study. Sources of patent data are examined with an emphasis on computerised systems. A number of searches using a variety of sources are presented. Patent family size is examined as a possible indicator of an invention's relative importance. The patenting activity of the companies over the period 1960-1983 is given and the variation between companies is noted. The relationship between patent data and other indicators used is analysed using statistical methods resulting in an apparent lack of correlation. An alternative approach taking into account variations in company policy and phases in research activity indicates a stronger relationship between patenting activity, R&D Expenditure and NCE output over the period. The relationship is not apparent at an aggregated company level. Some evidence is presented for a relationship between phases of regulatory stringency, inventive and innovative activity but the importance of other factors is emphasised.
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Genomics, proteomics and metabolomics are three areas that are routinely applied throughout the drug-development process as well as after a product enters the market. This review discusses all three 'omics, reporting on the key applications, techniques, recent advances and expectations of each. Genomics, mainly through the use of novel and next-generation sequencing techniques, has advanced areas of drug discovery and development through the comparative assessment of normal and diseased-state tissues, transcription and/or expression profiling, side-effect profiling, pharmacogenomics and the identification of biomarkers. Proteomics, through techniques including isotope coded affinity tags, stable isotopic labeling by amino acids in cell culture, isobaric tags for relative and absolute quantification, multidirectional protein identification technology, activity-based probes, protein/peptide arrays, phage displays and two-hybrid systems is utilized in multiple areas through the drug development pipeline including target and lead identification, compound optimization, throughout the clinical trials process and after market analysis. Metabolomics, although the most recent and least developed of the three 'omics considered in this review, provides a significant contribution to drug development through systems biology approaches. Already implemented to some degree in the drug-discovery industry and used in applications spanning target identification through to toxicological analysis, metabolic network understanding is essential in generating future discoveries.
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Genomics, proteomics and metabolomics are three areas that are routinely applied throughout the drug-development process as well as after a product enters the market. This review discusses all three 'omics, reporting on the key applications, techniques, recent advances and expectations of each. Genomics, mainly through the use of novel and next-generation sequencing techniques, has advanced areas of drug discovery and development through the comparative assessment of normal and diseased-state tissues, transcription and/or expression profiling, side-effect profiling, pharmacogenomics and the identification of biomarkers. Proteomics, through techniques including isotope coded affinity tags, stable isotopic labeling by amino acids in cell culture, isobaric tags for relative and absolute quantification, multidirectional protein identification technology, activity-based probes, protein/peptide arrays, phage displays and two-hybrid systems is utilized in multiple areas through the drug development pipeline including target and lead identification, compound optimization, throughout the clinical trials process and after market analysis. Metabolomics, although the most recent and least developed of the three 'omics considered in this review, provides a significant contribution to drug development through systems biology approaches. Already implemented to some degree in the drug-discovery industry and used in applications spanning target identification through to toxicological analysis, metabolic network understanding is essential in generating future discoveries.
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No hospitality organizations are immune from the negative effects of substance abuse in the workplace. Ownters and managers must confront the problem head on and, in order to accomplish this, they must be in possession of the facts regarding the problem, and regarding options for dealing with the problem in the most appropriate manner for their individual organizations. The authors include an assessment of this problem as well as a summary review of procedures for positive management of a potentially negative situation.
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The recruitment, selection, and retention of competent, reliable, and motivated managers has been the cornerstone of any successful organization. This is generally a complex assignment due to the subjectivity involved in determining what traits are needed to make a good manager. In order to determine the status of the hospitality industry with regard to managerial concerns, leaders in the hotel and restaurant industry were surveyed on these issues.