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Multivariate Pharma Technology Transfer Analysis: Civilization Diseases and COVID-19 Perspective

The importance of studying civilization diseases manifests itself in the impact of changing lifestyles, on the number of deaths and causes of death. Technology transfer plays an important role in the prevention and treatment of these diseases. Through this, it is possible to transfer new treatments...

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Autores principales: Śledzik, Karol, Płoska, Renata, Chmielewski, Mariusz, Barembruch, Adam, Szmelter-Jarosz, Agnieszka, Kędzierska-Szczepaniak, Angelika, Antonowicz, Paweł
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915368/
https://www.ncbi.nlm.nih.gov/pubmed/36767318
http://dx.doi.org/10.3390/ijerph20031954
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author Śledzik, Karol
Płoska, Renata
Chmielewski, Mariusz
Barembruch, Adam
Szmelter-Jarosz, Agnieszka
Kędzierska-Szczepaniak, Angelika
Antonowicz, Paweł
author_facet Śledzik, Karol
Płoska, Renata
Chmielewski, Mariusz
Barembruch, Adam
Szmelter-Jarosz, Agnieszka
Kędzierska-Szczepaniak, Angelika
Antonowicz, Paweł
author_sort Śledzik, Karol
collection PubMed
description The importance of studying civilization diseases manifests itself in the impact of changing lifestyles, on the number of deaths and causes of death. Technology transfer plays an important role in the prevention and treatment of these diseases. Through this, it is possible to transfer new treatments and diagnostics to clinics and hospitals more quickly and effectively, which leads to better healthcare for patients. Technology transfer can also aid in the development of new drugs and therapies that can be effective in the treatment of civilization diseases. The paper aims to evaluate the technology transfer process in the field of civilization diseases, using COVID-19 as an example of a pandemic that requires quick development and transfer of technology. To achieve the assumed goal, we propose a multivariate synthetic ratio in the field of civilization diseases (SMTT—Synthetic Measure of Technology Transfer) to analyze data from the Global Data database. We used sub-measures like SMTT_value (Synthetic Measure of Technology Transfer_value) and SMTT_quantity (Synthetic Measure of Technology Transfer_quantity) to measure technology transfer and put the data into a graph. Our analysis focuses on 14 diseases over a period of 10 years (2012–2021) and includes nine forms of technology transfer, allowing us to create a tool for analysing the process in multiple dimensions. Our results show that COVID-19 is similar in terms of technology transfer to diseases such as diabetes, cardiovascular diseases, neurodegenerative diseases, and breast cancer, even though data for COVID-19 is available for only 2 years.
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spelling pubmed-99153682023-02-11 Multivariate Pharma Technology Transfer Analysis: Civilization Diseases and COVID-19 Perspective Śledzik, Karol Płoska, Renata Chmielewski, Mariusz Barembruch, Adam Szmelter-Jarosz, Agnieszka Kędzierska-Szczepaniak, Angelika Antonowicz, Paweł Int J Environ Res Public Health Article The importance of studying civilization diseases manifests itself in the impact of changing lifestyles, on the number of deaths and causes of death. Technology transfer plays an important role in the prevention and treatment of these diseases. Through this, it is possible to transfer new treatments and diagnostics to clinics and hospitals more quickly and effectively, which leads to better healthcare for patients. Technology transfer can also aid in the development of new drugs and therapies that can be effective in the treatment of civilization diseases. The paper aims to evaluate the technology transfer process in the field of civilization diseases, using COVID-19 as an example of a pandemic that requires quick development and transfer of technology. To achieve the assumed goal, we propose a multivariate synthetic ratio in the field of civilization diseases (SMTT—Synthetic Measure of Technology Transfer) to analyze data from the Global Data database. We used sub-measures like SMTT_value (Synthetic Measure of Technology Transfer_value) and SMTT_quantity (Synthetic Measure of Technology Transfer_quantity) to measure technology transfer and put the data into a graph. Our analysis focuses on 14 diseases over a period of 10 years (2012–2021) and includes nine forms of technology transfer, allowing us to create a tool for analysing the process in multiple dimensions. Our results show that COVID-19 is similar in terms of technology transfer to diseases such as diabetes, cardiovascular diseases, neurodegenerative diseases, and breast cancer, even though data for COVID-19 is available for only 2 years. MDPI 2023-01-20 /pmc/articles/PMC9915368/ /pubmed/36767318 http://dx.doi.org/10.3390/ijerph20031954 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Śledzik, Karol
Płoska, Renata
Chmielewski, Mariusz
Barembruch, Adam
Szmelter-Jarosz, Agnieszka
Kędzierska-Szczepaniak, Angelika
Antonowicz, Paweł
Multivariate Pharma Technology Transfer Analysis: Civilization Diseases and COVID-19 Perspective
title Multivariate Pharma Technology Transfer Analysis: Civilization Diseases and COVID-19 Perspective
title_full Multivariate Pharma Technology Transfer Analysis: Civilization Diseases and COVID-19 Perspective
title_fullStr Multivariate Pharma Technology Transfer Analysis: Civilization Diseases and COVID-19 Perspective
title_full_unstemmed Multivariate Pharma Technology Transfer Analysis: Civilization Diseases and COVID-19 Perspective
title_short Multivariate Pharma Technology Transfer Analysis: Civilization Diseases and COVID-19 Perspective
title_sort multivariate pharma technology transfer analysis: civilization diseases and covid-19 perspective
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915368/
https://www.ncbi.nlm.nih.gov/pubmed/36767318
http://dx.doi.org/10.3390/ijerph20031954
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