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A patent landscape of green transition in the Indian automobile industry 印度汽车工业绿色转型的专利景观
IF 1.9 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-12-01 Epub Date: 2025-11-12 DOI: 10.1016/j.wpi.2025.102409
Tsewang Stanzin, Ruchi Sharma
The Indian automobile industry is experiencing a rapid technological transition, shaped by growing pressures for environmental sustainability. While scholarship has extensively examined the role of FDI in transferring clean technologies to developing economies, less attention has been paid to the evolving domestic innovation landscape and the contributions of new entrants. Addressing this gap, the present study employs patent-based analysis to map the trajectory of green and dirty technologies in India's automobile industry. Using international patent classification codes, co-occurrence network analysis, and revealed technological advantage indices, we track resident and non-resident patent filings, examine the portfolios of incumbents and startups, and explore technological linkages between clean, dirty, and grey innovations. Our results reveal a sustained increase in clean patenting activity, especially in electric vehicle technologies. However, internal combustion engine-related innovations continue to dominate due to path dependency and regulatory-driven grey innovation. Startups demonstrate high specialization in clean technologies, whereas incumbent firms retain diversified portfolios. By uncovering the heterogeneous roles of incumbents and startups and highlighting the coexistence of clean, dirty, and grey innovations, this study contributes novel insights into the green transition of a critical industrial sector in a developing economy. The findings underscore the need for targeted R&D incentives, regulatory support, and startup-oriented policies to accelerate India's transition toward sustainable mobility.
印度汽车工业正在经历一场快速的技术转型,这是由日益增长的环境可持续性压力造成的。虽然学术界广泛研究了外国直接投资在向发展中经济体转让清洁技术方面的作用,但很少注意到不断变化的国内创新情况和新进入者的贡献。为了解决这一差距,本研究采用基于专利的分析来绘制印度汽车工业中绿色和肮脏技术的发展轨迹。利用国际专利分类代码、共现网络分析和揭示的技术优势指数,我们跟踪了居民和非居民专利申请,考察了现有企业和初创企业的组合,并探讨了清洁创新、肮脏创新和灰色创新之间的技术联系。我们的研究结果显示,清洁专利活动持续增加,特别是在电动汽车技术方面。然而,由于路径依赖和监管驱动的灰色创新,内燃机相关创新继续占据主导地位。初创公司在清洁技术方面表现出高度专业化,而老牌公司则保持了多元化的投资组合。通过揭示现有企业和初创企业的异质角色,并强调清洁、肮脏和灰色创新的共存,本研究为发展中经济体中关键工业部门的绿色转型提供了新的见解。研究结果强调,需要有针对性的研发激励措施、监管支持和面向初创企业的政策,以加速印度向可持续交通的过渡。
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引用次数: 0
Intellectual property and SMEs … What's the state of play? 知识产权和中小企业……目前的情况如何?
IF 1.9 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-12-01 Epub Date: 2025-10-08 DOI: 10.1016/j.wpi.2025.102401
Christopher T. Lohrey , Kelvin W. Willoughby
This paper investigates how small and medium-sized enterprises (SMEs) can leverage intellectual property (IP) use to enhance their innovation performance. The existing literature on IP use is typically focused on large established corporations, or discrete strategy issues related to specific topics such as patent management and lacks a comprehensive overview of IP strategy challenges for SMEs. Our study addresses this gap in the literature by conducting a systematic literature review addressing the dynamics, requirements and benefits to SMEs of the strategic accumulation, maintenance and exploitation of IP rights. Our findings indicate that SMEs may improve their innovation performance, their overall business performance and their competitive positioning by treating the management of IP as a basic business function alongside orthodox management functions such as finance, marketing, operations, and R&D. This paper makes three key contributions. First, it deepens our understanding of how the use of IP affects business functions within SMEs. Second, it advances the strategy literature by highlighting IP as an impactful if not yet widely appreciated strategic domain for managers of SMEs. Third, it connects the innovation and technology management literature, in the organizational context of SMEs, with the intellectual property literature.
本文研究了中小企业如何利用知识产权来提高其创新绩效。关于知识产权使用的现有文献通常集中在大型成熟公司,或与专利管理等特定主题相关的离散战略问题上,缺乏对中小企业知识产权战略挑战的全面概述。本研究通过对中小企业战略性积累、维护和利用知识产权的动态、要求和利益进行系统的文献综述,解决了这一文献空白。研究结果表明,中小企业将知识产权管理与传统的财务、营销、运营、研发等管理职能一起作为基本的经营职能,可以提高企业的创新绩效、整体经营绩效和竞争定位。本文做出了三个关键贡献。首先,它加深了我们对知识产权的使用如何影响中小企业业务功能的理解。其次,它通过强调知识产权作为中小企业管理者的一个有影响力的战略领域(如果尚未得到广泛认可)来推进战略文献。第三,将中小企业组织背景下的创新和技术管理文献与知识产权文献联系起来。
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引用次数: 0
Industry 5.0: Life-Cycle mapping of sustainable technologies using BERTopic-Driven patent analytics 工业5.0:使用bertopic驱动的专利分析的可持续技术的生命周期映射
IF 1.9 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-12-01 Epub Date: 2025-10-22 DOI: 10.1016/j.wpi.2025.102406
Heng Yang, Sheng Chen
Sustainable technologies are critical to Industry 5.0—owing to the carbon-neutrality and digital-transformation transitions. To systematically identify and evaluate key sustainable technologies, this research performed an extensive investigation of 11,253 patent documents spanning the period 2011–2025. It tackled the shortcomings of previous topic-modeling approaches and the limited incorporation of life-cycle prediction in previous research. It combined the BERTopic model with the logistic growth model—enhancing topic interpretability and enabling the dynamic assessment of technological trajectories—and thus established an integrated analytical framework. The results revealed nine core technologies that drive sustainability in Industry 5.0. Technologies that have already entered the saturation stage include wireless communications (Topic 1), smart terminals and wearables (Topic 2), human–computer interaction and data intelligence (Topic 5), advanced materials and metallurgical processing (Topic 6), optical communication and modular systems (Topic 7), and acoustic sensing and smart audio (Topic 8). In addition, computer vision (Topic 0) and energy storage and wireless power transfer (Topic 4) are projected to reach the saturation stage within the next three years. Among all the technologies analyzed, additive manufacturing (Topic 3) remains at a high-growth stage, suggesting considerable potential for further development and application. This study contributes to a better understanding of the sustainable innovation landscape of Industry 5.0 and offers specific policy implications for industry stakeholders and governments.
由于碳中和和数字化转型转型,可持续技术对工业5.0至关重要。为了系统地识别和评估关键可持续技术,本研究对2011-2025年期间的11253项专利文献进行了广泛的调查。它解决了以前的主题建模方法的缺点,以及在以前的研究中有限地纳入生命周期预测。它将BERTopic模型与logistic增长模型相结合,增强了主题的可解释性,并使技术轨迹的动态评估成为可能,从而建立了一个集成的分析框架。结果揭示了推动工业5.0可持续发展的九项核心技术。已经进入饱和阶段的技术包括:无线通信(Topic 1)、智能终端与可穿戴设备(Topic 2)、人机交互与数据智能(Topic 5)、先进材料与冶金加工(Topic 6)、光通信与模块化系统(Topic 7)、声传感与智能音频(Topic 8)。此外,计算机视觉(Topic 0)和能源存储和无线电力传输(Topic 4)预计在未来三年内达到饱和阶段。在所有分析的技术中,增材制造(主题3)仍处于高增长阶段,表明进一步发展和应用的潜力很大。本研究有助于更好地理解工业5.0的可持续创新格局,并为行业利益相关者和政府提供具体的政策建议。
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引用次数: 0
Advancing PHA-Based packaging: A patent and scientific landscape analysis for sustainable innovation 推进pha基包装:可持续创新的专利和科学景观分析
IF 1.9 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-09-01 Epub Date: 2025-08-16 DOI: 10.1016/j.wpi.2025.102386
Pietro Carlos Gonçalves Conceição , Natália Hlavnicka Miranda , Luiggi Cavalcanti Pessôa , Denilson de Jesus Assis , Jamille Santos Santana , Paulo Vitor França Lemos , Jania Betania Alves da Silva , Lucas Guimarães Cardoso , Karina Teixeira Magalhães-Guedes , Leonardo Moreira de Assunção , Carolina Oliveira de Souza
Polyhydroxyalkanoates (PHAs) have emerged as promising biodegradable alternatives to petrochemical plastics for packaging applications, aligning with global sustainability goals. This study presents a comprehensive analysis of the scientific and technological landscape of PHA-based packaging from 1992 to 2024, combining a systematic review of 4176 scientific articles with a patent landscape analysis of 3328 patent families. The results reveal a robust increase in academic research since 2015, focusing on enhancing mechanical, barrier, and antimicrobial properties through nanomaterials and bioactive additives. Patent trends show a technological evolution from basic PHA formulations to multifunctional, smart packaging systems. The food sector dominates application areas, while blending PHAs with polymers such as PLA, starch, and PBAT remains a key strategy to improve performance and reduce costs. China leads in patent filings, driven by strong regulatory support, whereas Japan and the U.S. contribute significantly through industrial innovation. Despite the high potential of PHAs, challenges such as production cost, thermal sensitivity, and limited university-industry partnerships persist. The findings highlight the need for intensified collaboration and continued R&D investment to advance PHA-based packaging technologies toward large-scale adoption.
聚羟基烷酸酯(pha)已成为有前途的可生物降解替代品,石化塑料包装应用,与全球可持续发展目标一致。本研究通过对4176篇科学论文的系统回顾和对3328个专利家族的专利景观分析,对1992 - 2024年pha包装的科技景观进行了综合分析。结果显示,自2015年以来,学术研究强劲增长,重点是通过纳米材料和生物活性添加剂增强机械、屏障和抗菌性能。专利趋势显示了从基本PHA配方到多功能智能包装系统的技术演变。食品行业在应用领域占主导地位,而将pha与PLA、淀粉和PBAT等聚合物混合仍然是提高性能和降低成本的关键策略。在强有力的监管支持下,中国在专利申请方面处于领先地位,而日本和美国则通过产业创新做出了重大贡献。尽管pha具有很高的潜力,但诸如生产成本、热敏性和有限的大学-工业合作等挑战仍然存在。研究结果强调了加强合作和持续研发投资的必要性,以推动基于pha的封装技术大规模采用。
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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 : 2025-09-01 Epub 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。
{"title":"The patent landscape of Nanomedicine: Opportunities and obstacles","authors":"Amrita Singh ,&nbsp;Sarita Rana ,&nbsp;Mansi Trivedi ,&nbsp;Abhay Kant Upadhyay ,&nbsp;Omar Awad Alsaidan ,&nbsp;Waleed H. Almalki ,&nbsp;Salem Salman Almujri ,&nbsp;Ankit Sahoo ,&nbsp;Mahfoozur Rahman","doi":"10.1016/j.wpi.2025.102379","DOIUrl":"10.1016/j.wpi.2025.102379","url":null,"abstract":"<div><h3>Objective</h3><div>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.</div></div><div><h3>Results</h3><div>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&amp;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.</div></div>","PeriodicalId":51794,"journal":{"name":"World Patent Information","volume":"82 ","pages":"Article 102379"},"PeriodicalIF":1.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144750302","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
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 : 2025-09-01 Epub 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
Quantitative insights on artificial intelligence in the pharmaceutical industry: A patent-basis analysis of technological trends and key players 制药行业人工智能的定量分析:技术趋势和关键参与者的专利分析
IF 1.9 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-09-01 Epub Date: 2025-08-04 DOI: 10.1016/j.wpi.2025.102381
Shunsuke Sakaoka, Shingo Kano
The application of artificial intelligence (AI) in the pharmaceutical industry has rapidly expanded in recent years. To quantitatively assess this emerging trend, previous studies have conducted bibliometric analyses using publication databases to elucidate leading affiliations, research themes, and the contributions and research focuses of key players, including mega pharma, big IT firms, AI startups, and academic institutions. However, quantitative analyses that leverage patent databases to capture these significant shifts and assess the contributions of the key players are scarce. This study investigated technological trends in AI applications within the pharmaceutical industry and clarify the roles and strategic focuses of key players through patent analysis. A total of 1365 AI-related pharmaceutical patent applications in the United States between 2000 and 2023 were identified. Through a detailed analysis of patents, we revealed that AI is strategically employed across critical business domains, including drug discovery, drug development, diagnosis, manufacturing, marketing, and healthcare. Moreover, the study unveiled the specific business areas where each key player has focused their AI-driven initiatives and historical contributions to AI applications in the pharmaceutical industry. The findings underscore both patent and literature analyses are essential to comprehensively assess AI applications and contributions of key players in the pharmaceutical industry.
近年来,人工智能(AI)在制药行业的应用迅速扩大。为了定量评估这一新兴趋势,之前的研究使用出版物数据库进行了文献计量分析,以阐明主要从属关系、研究主题以及主要参与者(包括大型制药公司、大型IT公司、人工智能初创公司和学术机构)的贡献和研究重点。然而,利用专利数据库捕捉这些重大变化并评估关键参与者贡献的定量分析很少。本研究调查了制药行业人工智能应用的技术趋势,并通过专利分析阐明了关键参与者的角色和战略重点。在2000年至2023年期间,美国共确定了1365项与人工智能相关的药物专利申请。通过对专利的详细分析,我们发现人工智能被战略性地应用于关键业务领域,包括药物发现、药物开发、诊断、制造、营销和医疗保健。此外,该研究还揭示了每个关键参与者专注于人工智能驱动计划的特定业务领域以及对制药行业人工智能应用的历史贡献。研究结果强调,专利和文献分析对于全面评估人工智能应用和制药行业主要参与者的贡献至关重要。
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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 : 2025-09-01 Epub 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":"2025-09-01","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
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 : 2025-09-01 Epub 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。
{"title":"Innovative data extraction in patent reviews with SciSpace","authors":"Paula dos Passos Menezes ,&nbsp;Alcimary Bispo Santos ,&nbsp;Maria Eduarda da Conceição Andrade ,&nbsp;José Adão Carvalho Nascimento Júnior ,&nbsp;Marcelo Cavalcante Duarte ,&nbsp;Shanmugan Saravanan ,&nbsp;Mairim Russo Serafini","doi":"10.1016/j.wpi.2025.102377","DOIUrl":"10.1016/j.wpi.2025.102377","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":51794,"journal":{"name":"World Patent Information","volume":"82 ","pages":"Article 102377"},"PeriodicalIF":2.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144596276","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
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 : 2025-09-01 Epub 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。
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