1,720,966 research outputs found
Key success factors for commercializing biotechnological innovation : a post-COVID analysis of biopharma start-ups in Sweden and Germany
No full textThe European biotechnology sector plays a pivotal role in advancing healthcare innovation, with biopharma start-ups serving as key agents in translating scientific research into commercial medical solutions. Yet, numerous start-ups face persistent barriers to commercialization, ranging from limited access to funding and long regulatory cycles, to the challenge of building viable business models. These hurdles were further exacerbated by the COVID-19 pandemic, which reshaped global investment patterns, disrupted clinical pipelines, and triggered regulatory adaptations across Europe. This thesis investigates the key success factors that enable biopharma start-ups to navigate commercialization challenges, particularly in the context of the pandemic and its aftermath. It focuses on Sweden and Germany as case studies of the broader European biotech landscape due to their established innovation ecosystems, strong public-private research networks, and dynamic investment environments. Special attention is paid to two defined timeframes: the COVID-influenced period (January 2020–December 2021) and the post-pandemic period(January 2023–December 2024). A mixed-methods approach was adopted in which qualitative insights obtained from semi-structured interviews, explored perspectives on how start-ups responded to regulatory and market disruptions, funding gaps, and strategic uncertainties. These were complimented by quantitative data from an online survey targeting a broad range of stakeholders; founders, investors, incubators, policymakers, and business development executives from large pharmaceutical companies involved in start-up partnerships or acquisitions. Findings reveal that successful biopharma start-ups actively leveraged strategic partnerships, engaged early with regulators, diversified their funding sources, and aligned their commercialization models with shifting policy and market conditions. Government interventions such as recovery-oriented investment schemes, regulatory fast-tracking, and start-up incubation support were found to be instrumental in influencing success trajectories. In contrast, start-ups lacking proactive business strategies or adaptive capacity struggled to attract investment or gain regulatory traction. Importantly, this study identifies distinct commercialization patterns between the two periods: during the pandemic (2020–2021), start-ups prioritized regulatory agility, pandemic-related pivots, and emergency funding opportunities, while in the post-pandemic period (2023–2024), emphasis shifted toward strategic scalability, broader market positioning, and increased challenges in attracting sustainable funding. This study contributes to the broader understanding of biotech commercialization in Europe by identifying core business, regulatory, and financial factors that support start-up viability in dynamic, high-risk environments. Its findings provide actionable recommendations for biotech entrepreneurs, investors, and policymakers to strengthen start-up resilience, improve market readiness, and foster innovation-driven growth across the European biotech sector
Mapping Phenolics Metabolism and Metabolic Engineering of Saccharomyces cerevisiae for Increased Endogenous Catabolism of Phenolic Compounds
No full textAbstract
Sustainable, biotechnological utilization of non-food, plant biomass has been demonstrated to be a viable means of producing energy, fuels, materials and chemicals, representing a paradigm shift from fossil-derived sources. However, the presence of chemicals that inhibit fermentation by microorganisms such as Saccharomyces cerevisiae, commonly used for bioconversion, causes a bottleneck in such processes. Phenolic compounds are aromatic compounds that serve as building blocks of lignin in plants. During the deconstruction of plant biomass, phenolic compounds are released as degradation products from the lignin component of wood into the hydrolysates, inhibiting fermentation. The aim of the work presented in this thesis was to explore approaches for the development of strains of Saccharomyces cerevisiae that have improved tolerance to phenolic compounds, and to better understand its endogenous metabolism of phenolic compounds. A study was performed on the interaction between the yeast and phenolic compounds using single phenolic compounds in defined growth medium. The toxicity of thirteen phenolic compounds was determined. The concentrations at which each compound completely inhibited the growth of S. cerevisiae was found to differ among the compounds, and three distinct physiological responses were observed. The influence of the structure and the presence of the methyl, aldehyde, carboxylic acid and hydroxyl functional side groups that often decorate phenolic compounds were studied in coniferyl aldehyde, ferulic acid and p-coumaric acid. The conversion of these compounds into less toxic phenolic compounds was observed. Based on the product profile, a conversion route was hypothesized for the catabolism of phenolic compounds in S. cerevisiae. Finally, two strains of S. cerevisiae, B_CALD and APT_1, were engineered. B_CALD was metabolically engineered to exhibit increased endogenous conversion of coniferyl aldehyde, while APT_1 was metabolically engineered to exhibit increased endogenous conversion of coniferyl aldehyde, ferulic acid and p-coumaric acid, and to test the hypothesized conversion pathway. The engineering of both B_CALD and APT_1 was successful
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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