2,124,348 research outputs found

    Is It Possible to Have Cheaper Drugs and Preserve the Incentive to Innovate: Reforming the Drug Approval Process According to Market Principles

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    This paper argues that drugs are expensive not because of a lack of competition among research-based pharmaceutical companies, but because of a lack of competition in the drug approval process. Lack of competition in the drug approval process has led to exceedingly high drug development costs. High drug development costs combined with artificially low drug prices, obtained through price control legislation and legislation that eases the entry of generic products into the market, has caused lower levels of pharmaceutical research and development, innovation, and economic growth.Privatization, Competition, Monopoly, Innovation, Drugs, Generics, Pharmaceuticals

    Patient-centric trials for therapeutic development in precision oncology

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    An enhanced understanding of the molecular pathology of disease gained from genomic studies is facilitating the development of treatments that target discrete molecular subclasses of tumours. Considerable associated challenges include how to advance and implement targeted drug-development strategies. Precision medicine centres on delivering the most appropriate therapy to a patient on the basis of clinical and molecular features of their disease. The development of therapeutic agents that target molecular mechanisms is driving innovation in clinical-trial strategies. Although progress has been made, modifications to existing core paradigms in oncology drug development will be required to realize fully the promise of precision medicine

    The rule of five should not impede anti-parasitic drug development.

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    The "rule of 5" has become a mainstay of decision-making in the pharmaceutical industry as well as in nonindustrial (academic and institutional) drug development. However the authors of the original paper never intended for "double cutoffs" to preclude development of new drug leads for parasitic diseases

    Current Concepts on Drug Abuse and Dependence

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    Drug addiction is a complex disease characterized by compulsive and uncontrollable desire to seek and consume the drug. In time, drug-related terminology has undergone many changes, arising from the deepening of the mechanisms of action, but also about the need for a greater precision in the definition. Drug dependence can be assigned not only to pharmacological effects of the drugs of abuse, but also to their interaction with each particular neurological and psychological constitution. The research on the neurobiological mechanisms of addiction processes allows both a better understanding of current pharmacotherapy and the development of new treatment strategies in drug abuse and dependence. In this review we intend to present the current concepts related to drug abuse and dependence

    Patents and pharmaceutical drugs : understanding the pressures on developing countries

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    This paper offers a discussion to the question of why there are pressures on developing countries for introducing and/or reinforcing patent protection to pharmaceutical drugs. Patent protection is an important component of a complex strategy developed by the research and development intensive pharmaceutical drug companies of industrial countries to meet market competition. For legal and economic reasons, patents are fundamental instruments for allowing the drug-inventing companies to appropriate the returns from their inventions. Patents sustain high prices, which in turn provide rents to undertake further research and development, which in turn allows the invention of new drugs, etc. In recent years, increasing drug regulations have implied that effective patent protection to the research and development intensive pharmaceutical drug companies has eroded. Furthermore, competition from the generic drug companies has increased quite significantly. Restoring patent protection in industrial countries and making developing countries introduce patent protection, has become part of research and development intensive pharmaceutical companies'strategies to regain market share.Industrial Management,Environmental Economics&Policies,Pharmaceuticals&Pharmacoeconomics,Real&Intellectual Property Law,Water and Industry

    How Can Network-Pharmacology Contribute to Antiepileptic Drug Development?

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    Network-pharmacology is a field of pharmacology emerging from the observation that most clinical drugs have multiple targets, contrasting with the previously dominant magic bullet paradigm which proposed the search of exquisitely selective drugs. What is more, drug targets are often involved in multiple diseases and frequently present co-expression patterns. Therefore, useful therapeutic information can be drawn from network representations of drug targets. Here, we discuss potential applications of drug-target networks in the field of antiepileptic drug development.Fil: Di Ianni, Mauricio Emiliano. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Departamento de Ciencias Biológicas. Cátedra de Química Medicinal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; ArgentinaFil: Talevi, Alan. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Departamento de Ciencias Biológicas. Cátedra de Química Medicinal; Argentin

    The New Role of Academia in Drug Development

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    Recommends ways for government, nonprofits, and academic institutions to work with the private sector to develop drugs and bring them to market more efficiently, including establishing models for intellectual property and technology transfer processes

    Extracting adverse drug reactions and their context using sequence labelling ensembles in TAC2017

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    Adverse drug reactions (ADRs) are unwanted or harmful effects experienced after the administration of a certain drug or a combination of drugs, presenting a challenge for drug development and drug administration. In this paper, we present a set of taggers for extracting adverse drug reactions and related entities, including factors, severity, negations, drug class and animal. The systems used a mix of rule-based, machine learning (CRF) and deep learning (BLSTM with word2vec embeddings) methodologies in order to annotate the data. The systems were submitted to adverse drug reaction shared task, organised during Text Analytics Conference in 2017 by National Institute for Standards and Technology, archiving F1-scores of 76.00 and 75.61 respectively.Comment: Paper describing submission for TAC ADR shared tas
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