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Abstract  

This study applies the artificial neural network technique to explore the influence of quantitative and qualitative patent indicators upon market value of the pharmaceutical companies in US. The results show that Herfindahl-Hirschman Index of patents influences negatively market value of the pharmaceutical companies in US, and their technological independence positively affects their market value. In addition, this study also finds out that patent citations of the American pharmaceutical companies have an inverse U-shaped effect upon their market value.

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Abstract  

This study utilized artificial neural network (ANN) to explore the nonlinear influences of firm size, profitability, and employee productivity upon patent citations of the US pharmaceutical companies. The results showed that firm size, profitability, and employee productivity of the US pharmaceutical companies had the nonlinearly and monotonically positive influences upon their patent citations. Therefore, if US pharmaceutical companies want to enhance their innovation performance, they should pay attention on their firm size, profitability, and employee productivity.

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Az akadémiai-ipari együttműködések szerepe a gyógyszerfejlesztésben pandémia idején

Drug development collaborations between Academia and Industry in Pandemia

Scientia et Securitas
Author: György Miklós Keserű

., Gassmann, O., Hinder, M. (2016) Changing R&D models in research-based pharmaceutical companies. J Transl Med. Vol. 14. Article no. 105.

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those entering clinical trials can obtain the approval of Food and Drug Administration (FDA), and only 30% of new drugs can earn back their costs. American pharmaceutical companies usually spend a decade and several hundred million dollars on launching

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industry. The sample is obtained from the COMPUSTAT database based on the Standard Industry Classification (SIC) code of the pharmaceutical industry, 2,834. The sample of this study contains 116 American pharmaceutical companies. The panel data of this

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. Antalóczy , K. – Sass , M. ( 2018 ): The Internationalisation of Richter Gedeon, the Hungarian Pharmaceutical Company, and Entrepreneurship in Hungary . In: Mets , T. – Sauka , A. – Purg , A. (eds): Entrepreneurship in Central and Eastern

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Flow chemistry has become a vibrant area for research over the past decade. This perspective is intended to capture insights on how these advances have and will continue to impact the development and commercialization of active pharmaceutical ingredients. A series of chemistry examples from a number of pharmaceutical companies will highlight the influence of flow chemistry on this industry.

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Several major econometric studies have looked at mergers and acquisitions (M&As) across various industries and concluded that, in general, there is no synergy created or released by M&A activity. This investigation concentrates upon research and development (R&D) performance in the pharmaceutical industry to examine the impact of M&A activity on corporate productivity. Findings indicate that, when compared to those companies within the pharmaceutical industry that did not experience merger activity during comparable time periods, as well as to the industry as a whole, pharmaceutical companies that merged were able to achieve more favorable post-merger productivity scores than were attained prior to their merger.

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Abstract  

This study utilizes neural network to explore the nonlinear relationships between corporate performance and the patent traits measured from Herfindahl-Hirschman Index of patents (HHI of patents), patent citations, and relative patent position in the most important technological field (RPPMIT) in the US pharmaceutical industry. The results show that HHI of patents and RPPMIT have nonlinearly and monotonically positive influences upon corporate performance, while the influence of patent citations is nonlinearly U-shaped. Therefore, pharmaceutical companies should raise the degrees of the leading position in their most important technological fields and the centralization of their technological capabilities to enhance corporate performance.

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Abstract  

The use of Quantrad Sensor's ScoutTM in field type applications is described. The portability of the ScoutTM enables the user to obtain more accurate information in the field versus a survey meter. Isotopic identification is possible when ancillary information is combined with built-in software libraries. Data from the ScoutTM in remediation at Stanford Linear Accelerator (SLAC), NORM (Naturally Occurring Radioactive Maerial) measurements in California's Central Valley oil fields, medical isotope identification at nuclear pharmaceutical company and emergency response applications are presented. Additionally, custom software enabled the use of the ScoutTM in identification, qualification and detection of Special Nuclear Materials (SNM) in illicit trafficking and portal monitoring applications.

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