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Patent landscape and innovation trajectories of mRNA vaccine technologies mRNA疫苗技术的专利格局和创新轨迹
IF 1.9 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-08-04 DOI: 10.1016/j.wpi.2025.102382
Kyungdae Oh , Youngbo Choi , Surin Hong
This study presents a comprehensive patent-based analysis of mRNA vaccine technologies, tracing their progression from experimental tools to scalable biomedical platforms after the COVID-19 pandemic. Leveraging Cooperative Patent Classification (CPC) codes and 25 years of global filings (2001–2025), we built a functional technology tree and mapped innovation across delivery systems, structural design, adjuvants and immune modulation, and Good Manufacturing Practice (GMP)-compliant manufacturing. Lipid nanoparticle-mediated delivery dominates recent applications, underscoring industry priorities in efficacy and scale. Growth curves signal entry into technological maturity, accompanied by wider participation from pharmaceutical firms, academia, and public institutes. Strategic profiling reveals contrasting R&D strategies: ModernaTX and Translate Bio pursue vertically integrated platforms; CureVac emphasizes antigen design and RNA stability; MIT focuses on delivery technologies with broad cross-domain reach. These patterns indicate that mRNA vaccines are becoming foundational infrastructure for precision medicine, oncology, and next-generation immunotherapies. Future competition is poised to intensify around delivery innovation, RNA stabilization, immune modulation, and robust GMP production. Our findings illuminate evolving intellectual-property strategies and highlight platform integration, manufacturing optimization, and cross-sector collaboration as key drivers of innovation in the global mRNA vaccine ecosystem.
本研究对mRNA疫苗技术进行了全面的基于专利的分析,追踪了它们在COVID-19大流行后从实验工具到可扩展的生物医学平台的进展。利用合作专利分类(CPC)代码和25年的全球申请(2001-2025),我们建立了一个功能技术树,并绘制了跨越给药系统、结构设计、佐剂和免疫调节以及符合良好生产规范(GMP)生产的创新图谱。脂质纳米颗粒介导的递送主导了最近的应用,强调了功效和规模的行业优先级。增长曲线标志着进入技术成熟阶段,伴随着制药公司、学术界和公共机构更广泛的参与。战略分析揭示了对比鲜明的研发战略:ModernaTX和Translate Bio追求垂直整合平台;CureVac强调抗原设计和RNA稳定性;麻省理工学院专注于具有广泛跨领域影响的交付技术。这些模式表明mRNA疫苗正在成为精准医学、肿瘤学和下一代免疫疗法的基础设施。未来的竞争将围绕递送创新、RNA稳定、免疫调节和稳健的GMP生产而加剧。我们的研究结果阐明了不断发展的知识产权战略,并强调了平台整合、制造优化和跨部门合作是全球mRNA疫苗生态系统创新的关键驱动因素。
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引用次数: 0
The patent landscape of Nanomedicine: Opportunities and obstacles 纳米医学的专利前景:机遇与障碍
IF 1.9 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-08-01 DOI: 10.1016/j.wpi.2025.102379
Amrita Singh , Sarita Rana , Mansi Trivedi , Abhay Kant Upadhyay , Omar Awad Alsaidan , Waleed H. Almalki , Salem Salman Almujri , Ankit Sahoo , Mahfoozur Rahman

Objective

The objective of this review is to discover systemic barriers and strategic possibilities that impact innovation, commercialization, and regulatory alignment by critically analyzing the patents of nanomedicine worldwide. The translational trajectory of nanomedicine is examined in relation to intellectual property (IP) frameworks, regulatory heterogeneity, and claim complexity.

Results

According to the report, the patent landscape is crowded and fragmented, with overlapping material and method claims delaying market entrance and driving up licensing costs by as much as 50 %. The intricacy of patent claims and disparate jurisdictional categorization schemes lead to protracted examination backlogs, which sometimes surpass 30 months. Timelines for patent drafting and clearance are complicated by regulatory misalignment, especially between the FDA, EMA, and other authorities. Early freedom-to-operate analyses, cross-licensing, and involvement in ISO/ASTM working groups are examples of strategic interventions that can reduce the number of transactions by 50 % and accelerate the time-to-market ratio by approximately 20 %. Reforms at the policy level, such as shared-IP incentives, specialist examiner tracks, and harmonized definitions (e.g., nanoparticle sizes of 1–100 nm), might reduce licensing costs by approximately 30 %. Patent landscape analysis in medicine and health care has transformed into a multidimensional, AI-powered endeavor integrating semantic extraction, graph theory, and economic modeling to reveal innovation hubs and strategic opportunities across diverse subfields. Clinical translation is facilitated, and public trust is increased when ethical, legal, and social factors are included throughout the R&D lifecycle. A robust and cohesive IP environment is necessary to realize the full potential of nanomedicine. This comprises an integrated regulatory-patent strategy, simplified patent office processes, enhanced examiner knowledge, and uniform definitions. In addition to increasing the quality and enforcement of patents, these reforms will increase competition, draw in investment, and hasten the introduction of nanomedicine advances to patients, which will ultimately lower healthcare costs and improve patient outcomes. To fully realize the therapeutic and financial promise of nanomedicine, this review discusses that standardizing patent definitions, expediting assessment procedures, and incorporating ethical frameworks are crucial. Innovation will be accelerated, prices will decrease, and patient access to cutting-edge treatments will be enhanced by a robust, internationally coordinated IP system.
本综述的目的是通过批判性地分析全球纳米医学专利,发现影响创新、商业化和监管一致性的系统性障碍和战略可能性。纳米医学的转化轨迹与知识产权(IP)框架、监管异质性和索赔复杂性有关。报告显示,专利市场拥挤且碎片化,材料和方法权利要求的重叠延迟了市场准入,并将许可成本推高了50%。专利权利要求的复杂性和不同的司法管辖区分类方案导致长期的审查积压,有时超过30个月。专利起草和批准的时间表因监管偏差而变得复杂,特别是在FDA, EMA和其他当局之间。早期自由操作分析、交叉许可和参与ISO/ASTM工作组都是战略干预的例子,这些干预可以减少50%的交易数量,并将上市时间缩短约20%。政策层面的改革,如共享知识产权激励、专家审查员跟踪和统一定义(例如,纳米颗粒尺寸为1-100纳米),可能会将许可成本降低约30%。医药和卫生保健领域的专利景观分析已经转变为一项多维的、人工智能驱动的工作,整合了语义提取、图论和经济建模,以揭示不同子领域的创新中心和战略机会。当伦理、法律和社会因素贯穿整个研发生命周期时,临床翻译就会得到促进,公众的信任也会增加。一个强大和有凝聚力的知识产权环境是实现纳米医学的全部潜力所必需的。这包括一个综合的监管专利战略,简化专利局的流程,提高审查员的知识,和统一的定义。除了提高专利的质量和执行力之外,这些改革还将增加竞争,吸引投资,并加速向患者介绍纳米医学的进展,这将最终降低医疗保健成本并改善患者的治疗效果。为了充分实现纳米医学的治疗和经济前景,本综述讨论了标准化专利定义、加快评估程序和纳入伦理框架的关键。创新将会加速,价格将会下降,强有力的、国际协调的知识产权制度将会加强患者获得尖端治疗的机会。
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引用次数: 0
Patenting trends in biodegradable implant: An analysis 生物可降解植入物专利趋势分析
IF 1.9 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-07-31 DOI: 10.1016/j.wpi.2025.102378
Moumita Sarkar , Tapas Kumar Bandyopadhyay
Biodegradable metal implants are a significant innovation in medical science, offering temporary mechanical support and gradually dissolving within the body, thus avoiding the need for a second surgery. This study presents a comprehensive patent landscape analysis of metallic biodegradable implants: examining key trends, technological advancements, and major patent holders. Analysing 2114 global patent filings, the study identifies leading advancements in composition, manufacturing techniques, surface modifications, and clinical applications. There is clear information about the legal status of approximately 65 % of the total patent records, including granted patents that are still in force and those that have lapsed or discontinued due to non-renewal or other reasons. Specifically for India, a total of 177 individual patent application records involving filings in Indian jurisdiction resulted from a targeted screening procedure, with 99.4 % remaining active and 0.6 % marked as expired. However, biodegradable implant patent filings in India remain below expectations. This is attributed to the stringent application of Sections 3(i), 3(d), 3(f), and 3(e) of The Patent Act, 1970, that aim to minimize social costs in medical technology. These findings offer valuable insights for researchers, policymakers, and industry stakeholders navigating India's evolving patent landscape and future commercialization of metallic biodegradable implants.
可生物降解的金属植入物是医学上的一项重大创新,它提供暂时的机械支持,并逐渐在体内溶解,从而避免了第二次手术的需要。本研究呈现了金属生物可降解植入物的全面专利景观分析:检查关键趋势、技术进步和主要专利持有人。该研究分析了全球2114项专利申请,确定了在成分、制造技术、表面修饰和临床应用方面的领先进步。大约65%的专利记录的法律状态有明确的信息,包括仍然有效的授权专利和由于不续展或其他原因而失效或终止的专利。特别是在印度,通过有针对性的筛选程序,共有177个单独的专利申请记录涉及印度管辖范围内的申请,其中99.4%仍然有效,0.6%标记为过期。然而,印度可生物降解植入物的专利申请仍低于预期。这是由于严格执行1970年《专利法》第3(i)、第3(d)、第3(f)和第3(e)条,目的是尽量减少医疗技术的社会成本。这些发现为研究人员、政策制定者和行业利益相关者在印度不断发展的专利格局和金属生物可降解植入物的未来商业化方面提供了有价值的见解。
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引用次数: 0
Innovative data extraction in patent reviews with SciSpace 创新的数据提取在专利审查与SciSpace
IF 2.2 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-07-11 DOI: 10.1016/j.wpi.2025.102377
Paula dos Passos Menezes , Alcimary Bispo Santos , Maria Eduarda da Conceição Andrade , José Adão Carvalho Nascimento Júnior , Marcelo Cavalcante Duarte , Shanmugan Saravanan , Mairim Russo Serafini
Patent review is a time-consuming process because it involves the complexity of the documents with technical language and unpatterned files. Automating steps like data extraction can make technological prospects faster and more efficient. Thus, this study aimed to compare the use of an Artificial Intelligence (AI) tool to automate the data extraction of patents. A traditional patent review was conducted in Espacenet and WIPO databases, using the test subject: AI tools for skin cancer detection. Two independent reviewers performed the patent screening in Excel traditionally, and the data extraction step was manually made both and using SciSpace. SciSpace was 13.2 times faster than the traditional way and correctly extracted 69.7 % of information. Although it is a promising tool to accelerate the patent review process, it is crucial to author review the final version to ensure its accuracy and the representation of its ideas.
专利审查是一个耗时的过程,因为它涉及到具有技术语言和无图案文件的文件的复杂性。像数据提取这样的自动化步骤可以使技术前景更快、更有效。因此,本研究旨在比较人工智能(AI)工具在自动化专利数据提取中的使用情况。在Espacenet和WIPO数据库中进行了传统的专利审查,测试主题为:用于皮肤癌检测的人工智能工具。传统上由两名独立审查员在Excel中进行专利筛选,数据提取步骤由人工完成,并使用SciSpace进行。该方法比传统方法快13.2倍,正确率达69.7%。虽然它是加速专利审查过程的一个有前途的工具,但作者审查最终版本以确保其准确性和其思想的代表性至关重要。
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引用次数: 0
Patent and bibliometric analysis of the scientific landscape of the use of graphene-based biosensors and their prospects in digital medicine 基于石墨烯的生物传感器的专利和文献计量学分析及其在数字医学中的前景
IF 2.2 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-07-05 DOI: 10.1016/j.wpi.2025.102376
Olena Litvinova , Michel-Edwar Mickael , Gernot Gerger , Andy Wai Kan Yeung , Ahmed Fatimi , Hossam Haick , Atanas G. Atanasov , Harald Willschke
This article presents a patent and bibliometric analysis of the scientific landscape of the use of graphene-based biosensors and their prospects in the field of digital medicine.
A study of patent activity in the field of graphene biosensors (2005–2025) showed an increase in interest, especially since 2015, with a peak in 2021, with China, the U.S., and the World Intellectual Property Organization as the most active offices. Web of Science revealed 16,551 articles, with active growth since 2010, focusing primarily on analytical chemistry, nanotechnology, and electrochemistry. China and India lead the way in research.
Bibliometric analysis using VOSviewer identified four key clusters reflecting the main research directions of graphene biosensors: medical diagnostics, integration with digital technologies, the use of metals and nanomaterials, and analytical methods in biosensor technologies. The distribution of keywords over time analyzed with VOSviewer and CiteSpace indicates increasing digitalization in graphene biosensor research from 2020, underscoring the growing interest in flexible, highly sensitive sensors and their integration with digital platforms for diagnosis and analysis.
Despite the high potential of graphene biosensors, there are challenges pointed out in the literature, such as scaling, biocompatibility, and cost issues, as well as the need to address safety and reliability concerns.
本文介绍了使用石墨烯为基础的生物传感器的科学景观及其在数字医学领域的前景的专利和文献计量学分析。一项关于石墨烯生物传感器领域(2005-2025年)专利活动的研究显示,人们对该领域的兴趣有所增加,尤其是自2015年以来,2021年达到高峰,中国、美国和世界知识产权组织是最活跃的专利局。Web of Science公布了16,551篇文章,自2010年以来一直在积极增长,主要集中在分析化学、纳米技术和电化学方面。中国和印度在研究方面处于领先地位。使用VOSviewer进行文献计量分析,确定了反映石墨烯生物传感器主要研究方向的四个关键集群:医疗诊断、与数字技术的集成、金属和纳米材料的使用以及生物传感器技术中的分析方法。利用VOSviewer和CiteSpace分析的关键词随时间的分布表明,从2020年开始,石墨烯生物传感器研究的数字化程度将不断提高,这表明人们对柔性、高灵敏度传感器及其与数字诊断和分析平台的集成越来越感兴趣。尽管石墨烯生物传感器具有很高的潜力,但文献中指出了一些挑战,如缩放、生物相容性和成本问题,以及需要解决安全性和可靠性问题。
{"title":"Patent and bibliometric analysis of the scientific landscape of the use of graphene-based biosensors and their prospects in digital medicine","authors":"Olena Litvinova ,&nbsp;Michel-Edwar Mickael ,&nbsp;Gernot Gerger ,&nbsp;Andy Wai Kan Yeung ,&nbsp;Ahmed Fatimi ,&nbsp;Hossam Haick ,&nbsp;Atanas G. Atanasov ,&nbsp;Harald Willschke","doi":"10.1016/j.wpi.2025.102376","DOIUrl":"10.1016/j.wpi.2025.102376","url":null,"abstract":"<div><div>This article presents a patent and bibliometric analysis of the scientific landscape of the use of graphene-based biosensors and their prospects in the field of digital medicine.</div><div>A study of patent activity in the field of graphene biosensors (2005–2025) showed an increase in interest, especially since 2015, with a peak in 2021, with China, the U.S., and the World Intellectual Property Organization as the most active offices. Web of Science revealed 16,551 articles, with active growth since 2010, focusing primarily on analytical chemistry, nanotechnology, and electrochemistry. China and India lead the way in research.</div><div>Bibliometric analysis using VOSviewer identified four key clusters reflecting the main research directions of graphene biosensors: medical diagnostics, integration with digital technologies, the use of metals and nanomaterials, and analytical methods in biosensor technologies. The distribution of keywords over time analyzed with VOSviewer and CiteSpace indicates increasing digitalization in graphene biosensor research from 2020, underscoring the growing interest in flexible, highly sensitive sensors and their integration with digital platforms for diagnosis and analysis.</div><div>Despite the high potential of graphene biosensors, there are challenges pointed out in the literature, such as scaling, biocompatibility, and cost issues, as well as the need to address safety and reliability concerns.</div></div>","PeriodicalId":51794,"journal":{"name":"World Patent Information","volume":"82 ","pages":"Article 102376"},"PeriodicalIF":2.2,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144564039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The global patent landscape of devices for psoriasis diagnosis and treatment 银屑病诊断和治疗设备的全球专利景观
IF 2.2 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-07-03 DOI: 10.1016/j.wpi.2025.102375
Chang Xu , Tingrui Zhang , Jie Zhang , Fei Tan , Zongguang Tai , Zhongjian Chen
Psoriasis, a chronic systemic inflammatory disease affecting over 125 million people globally (2–3 % prevalence) with substantial economic burden (annual treatment costs exceeding 15 billion and projected to reach 30 billion by 2027), drives demand for advanced diagnostic and therapeutic devices. This study aims to provide developers with current intelligence on technological advancements in psoriasis management, identifying active R&D areas and aiding resource allocation. Patent data from global intellectual property offices and the PatSnap Wisdom Sprout database were analysed to track the maturity of diagnostic and treatment technologies from 1975 to 2023. The study reveals a focus on therapeutic devices, particularly phototherapy, with improvements in light sources, power supplies, heat management, safety, flexibility, cleanliness, and intelligent control. Diagnostic equipment development concentrates on image detection technologies, emphasizing cleanliness, adaptability, multifunctionality, smart device integration, and lightweight design. To address the evolving needs of psoriasis treatment, it is recommended to integrate beneficial technologies, enhancing interdisciplinary collaboration, and innovating to overcome technological challenges.
牛皮癣是一种慢性全身性炎症性疾病,影响全球超过1.25亿人(患病率为2 - 3%),具有巨大的经济负担(年治疗费用超过150亿美元,预计到2027年将达到300亿美元),推动了对先进诊断和治疗设备的需求。本研究旨在为开发人员提供有关牛皮癣管理技术进展的最新情报,确定活跃的研发领域并协助资源分配。研究人员分析了来自全球知识产权局和PatSnap Wisdom Sprout数据库的专利数据,以追踪1975年至2023年诊断和治疗技术的成熟度。该研究揭示了治疗设备的重点,特别是光疗,在光源、电源、热管理、安全性、灵活性、清洁度和智能控制方面都有改进。诊断设备的发展集中在图像检测技术,强调清洁、适应性、多功能性、智能设备集成和轻量化设计。为了满足银屑病治疗不断变化的需求,建议整合有益的技术,加强跨学科合作,并通过创新来克服技术挑战。
{"title":"The global patent landscape of devices for psoriasis diagnosis and treatment","authors":"Chang Xu ,&nbsp;Tingrui Zhang ,&nbsp;Jie Zhang ,&nbsp;Fei Tan ,&nbsp;Zongguang Tai ,&nbsp;Zhongjian Chen","doi":"10.1016/j.wpi.2025.102375","DOIUrl":"10.1016/j.wpi.2025.102375","url":null,"abstract":"<div><div>Psoriasis, a chronic systemic inflammatory disease affecting over 125 million people globally (2–3 % prevalence) with substantial economic burden (annual treatment costs exceeding 15 billion and projected to reach 30 billion by 2027), drives demand for advanced diagnostic and therapeutic devices. This study aims to provide developers with current intelligence on technological advancements in psoriasis management, identifying active R&amp;D areas and aiding resource allocation. Patent data from global intellectual property offices and the PatSnap Wisdom Sprout database were analysed to track the maturity of diagnostic and treatment technologies from 1975 to 2023. The study reveals a focus on therapeutic devices, particularly phototherapy, with improvements in light sources, power supplies, heat management, safety, flexibility, cleanliness, and intelligent control. Diagnostic equipment development concentrates on image detection technologies, emphasizing cleanliness, adaptability, multifunctionality, smart device integration, and lightweight design. To address the evolving needs of psoriasis treatment, it is recommended to integrate beneficial technologies, enhancing interdisciplinary collaboration, and innovating to overcome technological challenges.</div></div>","PeriodicalId":51794,"journal":{"name":"World Patent Information","volume":"82 ","pages":"Article 102375"},"PeriodicalIF":2.2,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144549566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Special issue on applications of Generative AI and Large Language Models in the patent domain 专利领域的生成式人工智能和大型语言模型应用特刊
IF 2.2 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-06-24 DOI: 10.1016/j.wpi.2025.102365
Tony Trippe (Associate Editor), Jieh-Sheng Jason Lee (Assistant Professor)
{"title":"Special issue on applications of Generative AI and Large Language Models in the patent domain","authors":"Tony Trippe (Associate Editor),&nbsp;Jieh-Sheng Jason Lee (Assistant Professor)","doi":"10.1016/j.wpi.2025.102365","DOIUrl":"10.1016/j.wpi.2025.102365","url":null,"abstract":"","PeriodicalId":51794,"journal":{"name":"World Patent Information","volume":"82 ","pages":"Article 102365"},"PeriodicalIF":2.2,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144365880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Literature listing 文献清单
IF 2.2 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-06-20 DOI: 10.1016/j.wpi.2025.102374
Susan Bates (Independent Researcher)
Welcome to the latest quarterly Literature Listing intended as a current awareness service for readers indicating newly published books, journal, and conference articles on IP management; Information Retrieval Techniques; Patent Landscapes; Education & Certification; and Legal & Intellectual Property Office Matters. The current Literature Listing was compiled mid-May 2025. Key resources include Scopus, Digital Commons, publishers' RSS feeds, and serendipity! This article gives a selection of interesting references to whet your appetite - the full list of references can be found in the companion datafile.
欢迎访问最新的季刊《文献列表》,该列表旨在为读者提供最新的知识产权管理相关书籍、期刊和会议文章的了解服务;信息检索技术;专利景观;教育,认证;和法律&;知识产权局事宜。目前的文献清单是在2025年5月中旬编制的。关键资源包括Scopus、Digital Commons、出版商的RSS订阅和serendipity!本文提供了一些有趣的参考文献来满足您的胃口——完整的参考文献列表可以在附带的数据文件中找到。
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引用次数: 0
Evaluating the effectiveness of ranking-based patent search engines for identifying relevant prior art: A comparative study in the area of chemistry 评估基于排名的专利搜索引擎识别相关现有技术的有效性:化学领域的比较研究
IF 2.2 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-06-05 DOI: 10.1016/j.wpi.2025.102358
David Rees, Manuel Wirz
The rapid development of patent search tools, most of which now include a results ranking system as a matter of course, has revolutionized the speed with which relevant prior art documents can be found compared to traditional search techniques. This short study builds upon a substantial body of work which investigates the use of AI and semantic engines in prior art searching and makes use of unambiguous, objective, yes/no criteria in performance assessment and tool comparison.
与传统的检索技术相比,专利检索工具的快速发展已经彻底改变了查找相关现有技术文件的速度,其中大多数工具现在理所当然地包括一个结果排序系统。这个简短的研究建立在大量工作的基础上,这些工作调查了人工智能和语义引擎在现有技术搜索中的使用,并在性能评估和工具比较中使用明确、客观、是/否标准。
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引用次数: 0
A comprehensive framework for patent value indicators: Machine learning-driven value prediction in renewable energy patents 专利价值指标的综合框架:机器学习驱动的可再生能源专利价值预测
IF 2.2 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-06-01 DOI: 10.1016/j.wpi.2025.102364
Nil Girgin Kalıp , F. Tunç Bozbura , Yusef Atteyih
This study proposes a machine learning (ML) framework for predicting the value of renewable energy (RE) patents using a structured set of bibliometric and inventor-related indicators. Motivated by the strategic importance of clean technologies, a structured dataset of renewable energy patents is constructed using a technology-specific classification approach. In addition to widely used features, the study introduces and empirically tests three underexplored value indicators: first forward citation speed, lead inventor experience, and inventor team experience. Six ML algorithms; Naïve Bayes, Logistic Regression, Random Forest (RF), Extreme Gradient Boosting, Support Vector Machines, and Artificial Neural Networks (ANN), are implemented under five comparative strategy settings to evaluate classification performance. Results demonstrate that models trained with a comprehensive set of indicators significantly outperform those relying on limited features, with RF and ANN showing the strongest accuracy. SHapley Additive exPlanations are applied to interpret model behavior and quantify the influence of all indicators. While established citation-based measures retain importance, the newly introduced indicators provide consistent and meaningful contributions to model performance. The proposed framework advances patent valuation research by demonstrating how interpretable, data-driven methods can improve the prediction of valuable patents in policy-intensive technology sectors. These findings offer practical insights for technology managers, policy-makers, and innovation strategists seeking to enhance portfolio analysis, funding prioritization, and strategic decision-making in the context of green innovation.
本研究提出了一个机器学习(ML)框架,用于使用一组结构化的文献计量学和发明人相关指标来预测可再生能源(RE)专利的价值。在清洁技术战略重要性的激励下,可再生能源专利的结构化数据集使用特定技术分类方法构建。除了广泛使用的特征外,本研究还引入并实证检验了三个尚未开发的价值指标:首次转发被引速度、首席发明人经验和发明人团队经验。六种ML算法;Naïve贝叶斯、逻辑回归、随机森林(RF)、极端梯度增强、支持向量机和人工神经网络(ANN)在五种比较策略设置下实现,以评估分类性能。结果表明,使用综合指标集训练的模型明显优于依赖有限特征的模型,其中RF和ANN显示出最强的准确性。SHapley加性解释用于解释模型行为并量化所有指标的影响。虽然已建立的基于引用的度量仍然重要,但新引入的指标为模型性能提供了一致和有意义的贡献。该框架通过展示可解释的、数据驱动的方法如何改进对政策密集型技术部门有价值专利的预测,推进了专利估值研究。这些发现为寻求在绿色创新背景下加强投资组合分析、资金优先排序和战略决策的技术经理、政策制定者和创新战略家提供了实用的见解。
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引用次数: 0
期刊
World Patent Information
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