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- Kulkov, Ignat, et al.
(author)
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Leveraging Podcasts as Academic Resources : A Seven-step Methodological Guide
- 2024
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In: International Journal of Qualitative Methods. - : SAGE Publications Inc. - 1609-4069. ; 23
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Journal article (peer-reviewed)abstract
- This article introduces a novel seven-step methodology designed to incorporate podcasts as qualitative data sources in academic research, addressing a notable gap in current literature. The purpose of this methodology is to harness the unique and timely insights offered by podcasts, thereby enriching academic studies with diverse, real-time perspectives. The design of this approach includes a meticulous selection of podcasts based on relevance and credibility, comprehensive ethical considerations, strategic sampling methods, robust data collection and analysis techniques, and recommendations for applying best research practices. Key to this methodology is the use of weighted scoring systems to mitigate biases and the establishment of ethical guidelines specifically tailored for podcast data. The results of this study indicate the high potential of the proposed methodology in employing podcasts as an additional source of data, providing dynamic and current perspectives often absent in traditional research sources. Future studies are encouraged to delve deeper into refining and standardizing the proposed methodology, focusing on enhancing the weight metrics through advanced statistical techniques and exploring new technological tools for more efficient podcast data extraction and analysis. Graphical Abstract
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- Kulkov, Ignat, et al.
(author)
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Stand-alone or run together : artificial intelligence as an enabler for other technologies
- 2023
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In: International Journal of Entrepreneurial Behaviour & Research. - : Emerald Publishing. - 1355-2554 .- 1758-6534.
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Journal article (peer-reviewed)abstract
- Purpose: The purpose of this study is to examine the role of artificial intelligence (AI) in transforming the healthcare sector, with a focus on how AI contributes to entrepreneurship and value creation. This study also aims to explore the potential of combining AI with other technologies, such as cloud computing, blockchain, IoMT, additive manufacturing and 5G, in the healthcare industry. Design/methodology/approach: Exploratory qualitative methodology was chosen to analyze 22 case studies from the USA, EU, Asia and South America. The data source was public and specialized podcast platforms. Findings: The findings show that combining technologies can create a competitive advantage for technology entrepreneurs and bring about transitions from simple consumer devices to actionable healthcare applications. The results of this research identified three main entrepreneurship areas: 1. Analytics, including staff reduction, patient prediction and decision support; 2. Security, including protection against cyberattacks and detection of atypical cases; 3. Performance optimization, which, in addition to reducing the time and costs of medical procedures, includes staff training, reducing capital costs and working with new markets. Originality/value: This study demonstrates how AI can be used with other technologies to cocreate value in the healthcare industry. This study provides a conceptual framework, “AI facilitators – AI achievers,” based on the findings and offer several theoretical contributions to academic literature in technology entrepreneurship and technology management and industry recommendations for practical implication.
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- Lee, EF, et al.
(author)
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BCL-XL and MCL-1 are the key BCL-2 family proteins in melanoma cell survival
- 2019
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In: Cell death & disease. - : Springer Science and Business Media LLC. - 2041-4889. ; 10:5, s. 342-
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Journal article (peer-reviewed)abstract
- Malignant melanoma is one of the most difficult cancers to treat due to its resistance to chemotherapy. Despite recent successes with BRAF inhibitors and immune checkpoint inhibitors, many patients do not respond or become resistant to these drugs. Hence, alternative treatments are still required. Due to the importance of the BCL-2-regulated apoptosis pathway in cancer development and drug resistance, it is of interest to establish which proteins are most important for melanoma cell survival, though the outcomes of previous studies have been conflicting. To conclusively address this question, we tested a panel of established and early passage patient-derived cell lines against several BH3-mimetic drugs designed to target individual or subsets of pro-survival BCL-2 proteins, alone and in combination, in both 2D and 3D cell cultures. None of the drugs demonstrated significant activity as single agents, though combinations targeting MCL-1 plus BCL-XL, and to a lesser extent BCL-2, showed considerable synergistic killing activity that was elicited via both BAX and BAK. Genetic deletion of BFL-1 in cell lines that express it at relatively high levels only had minor impact on BH3-mimetic drug sensitivity, suggesting it is not a critical pro-survival protein in melanoma. Combinations of MCL-1 inhibitors with BRAF inhibitors also caused only minimal additional melanoma cell killing over each drug alone, whilst combinations with the proteasome inhibitor bortezomib was more effective in multiple cell lines. Our data show for the first time that therapies targeting specific combinations of BCL-2 pro-survival proteins, namely MCL-1 plus BCL-XL and MCL-1 plus BCL-2, could have significant benefit for the treatment of melanoma.
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