Category Archives: Data Type

Patent intelligence of RNA viruses: Implications for combating emerging and re-emerging RNA virus based infectious diseases (Full-Text)

The recent outbreak of one of the RNA viruses (2019-nCoV) has affected most of the population and the fatalities reported may label it as a modern-day scourge. Active research on RNA virus infections and vaccine development had more commercial impact which leads to an increase in patent filings. Patents are a goldmine of information whose mining yields crucial technological inputs for further research. In this research article, we have investigated both the patent applications and granted patents, to identify the technological trends and their impact on 2019-nCoV infection using biotechnology-related keywords such as genes, proteins, nucleic acid etc. related to the RNA virus infection. In our research, patent analysis was majorly focused on prospecting for patent data related to the RNA virus infections. Our patent analysis specifically identified spike protein (S protein) and nucleocapsid proteins (N proteins) as the most actively researched macromolecules for vaccine and/or drug development for diagnosis and treatment of RNA virus based infectious diseases. The outcomes of this patent intelligence study will be useful for the researchers who are actively working in the area of vaccine or drug development for RNA virus-based infections including 2019-nCoV and other emerging and re-emerging viral infections in the near future.


Author(s): Pratap Devarapalli, Pragati Kumari, Seema Soni, Vandana Mishra, Saurabh Yadav
Organization(s): University of Tasmania, Queensland University of Technology, H.N.B. Garhwal University
Source: International Journal of Biological Macromolecules
Year: 2022

Exploring funding patterns with word embedding-enhanced organization–topic networks: a case study on big data

Understanding the complex patterns in research funding plays a fundamental role in comprehensively revealing funding preferences and informing ideas for future strategic innovation. This is especially true when the funding policies need to be constantly shifted to accommodate highly complex and ever-changing demands for technological, economic, and social development. To this end, we investigate the associations between funding agencies and the topics they fund in an attempt to understand funding patterns at both an organizational level and a topic level. In this paper, the links between heterogeneous nodes, organizations and topics, are mapped to a two-mode organization–topic network. The collaborative interactions formed by funding organizations and the semantic networks constituted by word embedding-enhanced topics are revealed and analyzed simultaneously. The methodology is demonstrated through a case study on big data research involving 9882 articles from the Web of Science over the period 2010 to 2019. The result shows a comprehensive picture of the topics that governments, academic institutions, and industrial funding organizations prefer to fund, which provide potential decision support for agencies and organizations who are exploring funding patterns, estimating funding trends, and updating their funding strategies.

Author(s): Qianqian Jin, Hongshu Chen, Ximeng Wang, Tingting Ma, Fei Xiong
Organization(s): Beijing Institute of Technology, Beijing Wuzi University, Beijing Jiaotong University
Source: Scientometrics
Year: 2022

Future of Bioprinted Tissues аnd Organs: A Two-Wave Global Survey (Full-Text)

Technologies of 3D- and 4D-bioprinting make it possible to restore or replace tissues and organs, solving the problem of the lack of donor resources and reducing the risks of implant rejection. This article presents the results of a two-stage global survey of specialists in tissue engineering on the prospects of bioprinting in preclinical studies and clinical practice. A picture of possible tracks and horizons upon which the implementation of the considered solutions is possible is presented. According to the results of the survey, in the next two decades it will be possible to recreate tissues and organs suitable for implantation and drug testing. There will be a market for bioprinted products, the problem of organ shortages and adverse reactions to drugs will be solved. These changes may significantly affect not only the practice of biomedical research, drug testing, and medicine, but also the healthcare sector in general, which implies the need for a preventive review of current policies. A practical and accessible tool for identifying (searching and collecting respondents in scientific publications) and interviewing a large number of experts around the world is proposed, which may be useful for new Foresight studies.

For FULL-TEXT 10.17323/2500-2597.2022.1.6.20

Author(s): Fabio Batista Mota, Luiza Amara Maciel Braga, LBernardo Pereira Cabral , Carlos Gilbert Conte Filho
Organization(s): Oswaldo Cruz Foundation (Fiocruz), Fluminense Federal University, Federal University of Bahia
Source: Foresight and STI Governance
Year: 2022

Anticipating New Treatments for Cystic Fibrosis: A Global Survey of Researchers (full-text)

Cystic fibrosis is a life-threatening disease that affects at least 100,000 people worldwide. It is caused by a defect in the cystic fibrosis transmembrane regulator (CFTR) gene and presently, 360 CFTR-causing mutations have been identified. Since the discovery of the CFTR gene, the expectation of developing treatments that can substantially increase the quality of life or even cure cystic fibrosis patients is growing. Yet, it is still uncertain today which developing treatments will be successful against cystic fibrosis. This study addresses this gap by assessing the opinions of over 524 cystic fibrosis researchers who participated in a global web-based survey. For most respondents, CFTR modulator therapies are the most likely to succeed in treating cystic fibrosis in the next 15 years, especially through the use of CFTR modulator combinations. Most respondents also believe that fixing or replacing the CFTR gene will lead to a cure for cystic fibrosis within 15 years, with CRISPR-Cas9 being the most likely genetic tool for this purpose.

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Author(s): Bernardo Cabral, Vito Terlizzi, Onofrio Laselva, Carlos Conte Filho, Fabio Mota
Organization(s): Federal University of Bahia, Oswaldo Cruz Foundation, University of Foggia, Federal University of Santa Maria, Anna Meyer Children’s University
Source: Journal of Clinical Medicine
Year: 2022

Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis (full-text)

Artificial intelligence (AI) is emerging as a technology at the center of many political, economic, and societal debates. This paper formulates a new AI patent search strategy and applies this to provide a landscape analysis of AI innovation dynamics and technology evolution. The paper uses patent analyses, network analyses, and source path link count algorithms to examine AI spatial and temporal trends, cooperation features, cross-organization knowledge flow and technological routes. Results indicate a growing yet concentrated, non-collaborative and multi-path development and protection profile for AI patenting, with cross-organization knowledge flows based mainly on interorganizational knowledge citation links.

Full-Text available at

Author(s): Na Liu, Philip Shapira, Xiaoxu Yue, Jiancheng Guan
Organization(s): Shandong Technology and Business University, University of Manchester, Tsinghua University, University of Chinese Academy of Sciences
Source: PLoS ONE
Year: 2021

Worldwide trends on molar incisor and deciduous molar hypomineralisation research: a bibliometric analysis over a 19-year period

The goal of this study was to identify the worldwide trends in scientific evidence and gaps in knowledge regarding molar incisor hypomineralisation (MIH) and deciduous molar hypomineralisation/hypomineralised second primary molars (DMH/HSPM), exploring the contribution of authors and countries, possible etiological factors and proposed treatments, in order to guide future research in the area. Searches were conducted in MEDLINE, Scopus, Web of Science, Cochrane Library, Lilacs/BBO, Embase and Google Scholar. Studies employing the terms MIH, DMH/HSPM and their linguistic variations were included. The following data were extracted: title, authors, year and journal of publication and first author’s affiliation country. Studies were categorized according to topic, dentition, study design, etiological factors and types of treatments. Categories were analysed in relation to their distribution, co-occurrence, cross-correlation and/or autocorrelation. Results Five hundred and three studies were included. The most published authors were Manton D (n = 47), de Souza JF (n = 22) and Ghanim A (n = 22) and four main collaboration clusters have been identified. Most of the studies were conducted on permanent dentition (MIH) (87.4%); with observational design (57.2%). The “European Archives of Paediatric Dentistry” was the most published journal (13.3%) and a significant increase in the number of publications was observed in the last decade. MIH was most studied in relation to prevalence/incidence, systemic factors involved in its aetiology and treatment with composite restorations, while a gap in knowledge was observed for extraction and sealants. Less studies were published on DMH/HSPM and most of them evaluated risk factors or prevalence/incidence. The gap of knowledge was observed in relation to treatments and patient’s quality of life. This bibliometric review provided a comprehensive overview of research in MIH and DMH/HSPM over the past 19 years. Within the limitations of the present study, the following conclusions can be drawn: global trends point to an increasing peak of scientific publication, especially in the last decade, while there is a shortage of clinical studies on treatments, mainly evaluating tooth extractions. Finally the multifactorial nature should be further explored, considering environmental and systemic factors together.

Author(s): T. da Costa Rosa, A. V. B. Pintor, M. B. Magno, G. A. Marañón-Vásquez, L. C. Maia, A. A. Neves
Organization(s): Universidade Federal Do Rio de Janeiro
Source: European Archives of Paediatric Dentistry
Year: 2021

Intelligent Patent Text Summarization Analysis Method

Patent mining and patent analysis of patented technologies will help protect the interests of intellectual property rights and provide enterprises with correct scientific research directions. In order to study the profitable patents of pharmaceutical companies, this paper proposes an Abstractive RL-LSTM neural network method based on patent texts. The reinforcement learning method is introduced into LSTM. The purpose is to rely on Q-learning to learn the relationship between the main layers. The two parallel layers share the weight of attention from the Q value, and realize the hierarchical control between the LSTM structure of the patent document and the LSTM structure of the sentence. The experimental results show that compared with other methods, the method proposed in this paper can further improve the ROUGE index and alleviate the dependence of the decoder on the input.

The team uses Derwent Data Analyzer to provide information about patent trends. Globally, until August 2020, there are a total of 192 patents on gene therapy.


Author(s): Yong Ji
Organization(s): Renmin University of China
Source: 7th International Conference on Systems and Informatics (ICSAI)
Year: 2021


The objective of this study was to identify the profile of academic research on blended learning in the world and propose a research agenda for the topic. Recent literature has reported good results in both student performance and satisfaction in blended learning (Dziuban et al., 2004). However, there is still much to investigate and learn about BL because it is a recent development. We analysed the profile of international publications on blended learning in management and business from 2001 to 2021. We identified when, who, where and what was published on the subject, singling out the authors and journals with the greatest impact based on the h-index and CiteScore (Scopus), as well as exploring the cooperation between countries. The volume of research has been increasing over the past twenty years, although there are only a few authors, institutions and reference journals contributing to the topic’s consolidation and the countries conducting the most joint research in coauthoring networks account for the largest volume of publications, authors and impact journals. We suggest a future research agenda and highlight the contributions made to executive and management education. The results indicate that the number of publications is growing, and the management and business area is the one that contributes the most, with the countries that produce in co-authorship also providing the most publications.


Author(s): Sheila Serafim-Silva, Renata Giovinazzo Spers, Luiz Vázquez-Suárez, Camilo Peña Ramírez
Organization(s): University of Sao Paulo
Source: International Journal of Professional Business Review
Year: 2021

Scientometric Assessment of Agri-Food Technology for Research Activity and Productivity (full-text)

In accordance with the UN Sustainable Development Goals (SDGs), several SDGs target global food issues, including zero hunger (food security and sustainable agriculture), responsible consumption and production (food losses), climate action (greenhouse gas emissions from food waste), and partnerships for the goals (research collaboration). As such, it is vital to identify technology and market opportunities to support advanced development by exploring scientific and technological research on such SDGs. The significance of technological innovation and evaluations of activity, productivity, and collaboration aids and guides future research streams. Motivated by the growing severity of the global food waste crisis, this paper focuses on the case study of shelf-life extension technology for food and applies a scientometric analysis of patents based on text mining. VantagePoint was used to analyze 2516 patents issued between 2000 and 2020, with the aim of understanding the conceptual structure of knowledge and the social relationships among key players. The results indicate that the technology is experiencing a period of growth, and it can be clustered into five technology sectors. Across all technology clusters, China outperformed other countries in terms of the number of patents. Almost all of China’s patents applied for technology commercialization domestically, whereas other countries tended to apply for patents overseas to exploit opportunities. The findings have implications for both policymaking and strategic decision-making using a multi-layered network innovation system

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Author(s): Jakkrit Thavorn, Veera Muangsin, Chupun Gowanit, Nongnuj Muangsin
Organization(s): Chulalongkorn University
Source: Publications 2021
Year: 2021

Emerging and Resurgent Arboviral Diseases: Global Vaccine Patent Landscape and the Case for Immunome

Emerging and resurgent arboviral diseases are a major public health problem for developing countries, particularly in Latin America and Africa, for the severity of their symptoms and lethality. Vaccines are recognized as the most powerful preventive, low-risk and cost-effective interventions. For this reason, vaccines against these arboviral diseases could have an extensive impact on global health. Nevertheless, many gaps persist in innovation and technological development of these vaccines and it is necessary and urgent to accelerate new funding mechanisms and incentives, such as “patent pools”, with active participation of manufacturers in developing countries, to assure their cost-effectiveness, efficacy and minimize their potential adverse effects. In this global scenario, intellectual property, especially patents documents, have emerged as a crucial issue for vaccine development. The global patent landscape for vaccines against these four arboviral diseases has undergone drastic changes in the past 5 years, with breakthroughs resulting from advances in molecular biology and genetic engineering: DNA vaccines, recombinant vaccines based on antigens expressed in vectors (viral, bacterial, yeast) and vaccines obtained through reverse vaccinology, with the selection of potential candidates at the genetic level rather than the protein level. Our main aim is to transcend the conventional debate on vaccine development and ethical, regulatory and policy issues, already explored in many scientific publications in the past three decades and determine which of these issues should be considered new and specific to this new perspective. Finally, an adequate use of patent documents, as indicated here, can be a valuable source of information, supporting technological prospect tools in more effective knowledge governance strategies.

Author(s): Cristina Possas, Adelaide M. S. Antunes, Flavia M. L. Mendes, Reinaldo M. Martins, Akira Homma
Organization(s): Oswaldo Cruz Foundation (FIOCRUZ), Federal University of Rio de Janeiro (UFRJ), National Institute of Industrial Property (INPI)
Source: Intellectual Property Issues in Microbiology (pp 337-352)
Year: 2019