Future Patents Research Articles

Improvement of the system for creating intellectual property objects

The aim of this article is to identify the institutional and economic-psychological factors that affect the effectiveness of protecting intellectual property rights, with the goal of improving the efficiency of innovation in priority areas of scientific and technological development. In this study, we used methods of analysis, systematization, and classification to extract relevant information related to the efficiency of innovative activity from regulatory and academic sources. We also analyzed patent data for five years to track the dynamics of application filings and patent reviews. Additionally, we applied methods of functional analysis to labor functions in training future patent and economic engineers. Finally, we employed the methodology of expert evaluation to assess the rating of indicators for innovative performance. Based on a comprehensive analysis of normative and scientific approaches to evaluating the effectiveness of innovative activities, the main directions and ways to improve it have been identified, and prospects for future research have been outlined. The paper also discusses the activities of faculty and researchers, as well as the potential for further research in this area

Analysis of Intellectual Property Rights as an Object of Fiduciary Guarantee on Banking Credit

This writing aims to analyze Intellectual Property Rights as an object of fiduciary guarantee, which until now cannot be said to be maximal, because banks and guarantee institutions have not been able to accept copyright patent rights as fiduciary collateral. There are no clear methods and regulations regarding the basis of Intellectual Property Rights themselves, one of which is regarding the value of the rights attached to intellectual property. This paper discusses the issue of intellectual property rights as an object of fiduciary collateral for credit in banking and how in the future patents and copyrights can be used as objects of fiduciary collateral in banking properly. The theories used in analyzing the problem are legal system theory, ownership theory and fiduciary guarantee theory. The method used in this research is normative legal research which was carried out as an effort to obtain the data needed for the problem. The data used is secondary data and tertiary legal materials. The primary data is used as supporting secondary legal material. And data analysis was carried out using qualitative juridical analysis methods. From the results of this research, it can be seen how the position of patents and copyrights as intangible assets should be used as objects of fiduciary guarantees in banking, by adding the words Intellectual Property Rights regarding guarantees to the Bank Indonesia Regulations (PBI). And what is the concept of examination and assessment of the economic value of intellectual property rights, especially patents and copyrights, which will be used as a reference in calculating financial and legal risks for collateral recipients in future implementation.

Signaling innovation: The nontax benefits of claiming R&D tax credits

Using the IPO setting, we test whether firms signal the quality of their investments in innovation activities by claiming R&D tax credits. We find the presence and amount of the R&D credit are each associated with lower information asymmetry and with higher investor demand at IPO. Conservatively, we estimate that sample firms realize additional IPO proceeds of 32–45 percent of their creditable R&D expenditures, indicating economically significant non-tax benefits associated with the R&D credit. We verify the R&D credit signal by showing its positive association with firms’ future patenting activity, patent citations, and post-IPO stock returns. Results from these tests are concentrated among firms limited in their ability to obtain tax benefits from R&D credits, consistent with the R&D credit providing nontax benefits as a signal of innovation investment quality.

Machine learning to promote translational research: predicting patent and clinical trial inclusion in dementia research.

Projected to impact 1.6 million people in the UK by 2040 and costing £25 billion annually, dementia presents a growing challenge to society. This study, a pioneering effort to predict the translational potential of dementia research using machine learning, hopes to address the slow translation of fundamental discoveries into practical applications despite dementia's significant societal and economic impact. We used the Dimensions database to extract data from 43 091 UK dementia research publications between the years 1990 and 2023, specifically metadata (authors, publication year, etc.), concepts mentioned in the paper and the paper abstract. To prepare the data for machine learning, we applied methods such as one-hot encoding and word embeddings. We trained a CatBoost Classifier to predict whether a publication will be cited in a future patent or clinical trial. We trained several model variations. The model combining metadata, concept and abstract embeddings yielded the highest performance: for patent predictions, an area under the receiver operating characteristic curve of 0.84 and 77.17% accuracy; for clinical trial predictions, an area under the receiver operating characteristic curve of 0.81 and 75.11% accuracy. The results demonstrate that integrating machine learning within current research methodologies can uncover overlooked publications, expediting the identification of promising research and potentially transforming dementia research by predicting real-world impact and guiding translational strategies.

What's next? Forecasting scientific research trends

Scientific research trends and interests evolve over time. The ability to identify and forecast these trends is vital for educational institutions, practitioners, investors, and funding organizations. In this study, we predict future trends in scientific publications using heterogeneous sources, including historical publication time series from PubMed, research and review articles, pre-trained language models, and patents. We demonstrate that scientific topic popularity levels and changes (trends) can be predicted five years in advance across 40 years and 125 diverse topics, including life-science concepts, biomedical, anatomy, and other science, technology, and engineering topics. Preceding publications and future patents are leading indicators for emerging scientific topics. We find the ratio of reviews to original research articles informative for identifying increasing or declining topics, with declining topics having an excess of reviews. We find that language models provide improved insights and predictions into temporal dynamics. In temporal validation, our models substantially outperform the historical baseline. Our findings suggest that similar dynamics apply across other scientific and engineering research topics. We present SciTrends, a user-friendly webtool for predicting future publication trends for any topic covered in PubMed.

R&D grants and medical innovation

This paper examines the relationship between government-funded R&D grants in the US and pharmaceutical firm innovation. We find a positive and robust relationship between grant receipt, future patents, and medical innovations. The strength of the relationship between R&D grants and pharmaceutical innovation is attenuated by firm lobbying but strengthened by industry competition, geographic dispersion, and leverage. Investors recognize the unequal value added by grant receipt. R&D grant receipt also impacts future financial performance and sales growth. Our results indicate that the relationship between R&D and innovation is more nuanced than previously identified.

Industry influence on firms' R&D and innovation

AbstractThis paper examines the effect of peers on a firm's research and development (R&D) policy. We show that firms do not make R&D decisions in isolation, and that industry dynamics play an important role in defining a firm's R&D intensity. Using a large sample of 54,393 firm‐year observations from 1991 to 2015 in the United States, we find that firms' R&D decisions are mainly driven by their industry peers' R&D policies. Moreover, we find that R&D mimicking is significant only in the presence of strong product market competition, whereas we do not find any evidence of information‐based herding in R&D investments. Our additional analysis shows that our main conclusions remain valid even in the presence of financial constraints, and regardless of the firms' market positions. Finally, we provide evidence that R&D mimicking increases firms' future values, future patent outputs, and estimated patent dollar values. Our findings are robust to endogeneity concerns, and to using alternative sample compositions, R&D intensity proxies, and different industry classifications.

Recent Patents on the Detection Device for Surface Defects on Bearing Balls

Background: With the continuous pursuit of high-quality and high-precision bearings in industrial production, the processing accuracy of bearing balls is increasing, and high surface quality has become the most basic requirement for high-quality bearing balls. Studying the working principle of the detection devices for surface defects on bearing balls is beneficial to improve the surface accuracy of bearing balls and the quality of bearings. Objective: The objective of this study was to provide an overview of recent patents and methods on the detection device for surface defects on bearing balls. Methods: This paper reviews various representative patents related to the detection devices for surface defects on bearing balls. The advantages and disadvantages of the patents are also analyzed. Results: By tracing the characteristics of different types of the detection devices for surface defects on bearing balls, the currently existing problems are concluded and analyzed, such as low detection accuracy, low detection efficiency, and limited scope of application, etc. The future development of patents on detection devices for surface defects on bearing balls is discussed. Conclusion: The optimization and development of detection devices for surface defects on bearing balls are beneficial to improve the detection accuracy and efficiency of surface defects on bearing balls, and are conducive to expanding the scope of application of the detection devices. More related patents on detection devices of surface defects on bearing balls will be invented.

Modeling patent clarity

This study uses machine learning techniques to model patent claim clarity and analyze how clarity relates to important patent policy objectives. Specifically, machine learning models are trained on a dataset of over 600,000 U.S. patent applications that were (or were not) rejected for indefiniteness, a proxy for claim clarity, using features based on the linguistic attributes of each application. The model is then applied to over 2 million issued patents and their corresponding applications, deriving estimates of the clarity of each patent's claim set at application and issuance.First, the properties of claim clarity and its relationship with the patent examination process are studied. Wordiness and repetitiveness corresponds to reduced clarity, whereas more descriptiveness whereas clearer claims tend to be more descriptive. Clarity also changes during patent examination, indicating that patent office policies may affect claim clarity.Next, the relationship between claim clarity and cumulative innovation is studied. Clear patents are found to receive more citations by applicants of unrelated future patents, a key indicator of cumulative innovation. However, unclear patents tend to receive more examiner citations, particularly in later years, and the technological relevance of examiner citations also tends to decline over time. This raises important questions about the role of late-stage examiner citations in the patent examination process, which are framed for future research.Finally, this study evaluates the impact of the U.S. Supreme Court's Nautilus v. Biosig decision, which sought to improve patent claim clarity. A difference-in-difference analysis of applications examined under the old versus new standard is conducted to evaluate the causal effect of Nautilus on the claims of patents filed under the old standard but examined under the new standard. This reveals a significant improvement in patent claim clarity post-Nautilus.

A language-based approach to measuring creative exploration

• Using textual analysis, we develop a new language-based indicator of firm exploration. • The exploration indicator covers all firms in all industries and spans a wide range of exploratory activities. • The exploration indicator predicts future R&D spending and patent and trademark applications and grants. • Exploration declines after periods of high R&D spending and as the firm matures. • Exploration correlates positively with firm risk. • Exploration exhibits a distinct positive impact on firm value. We propose a new measure of the exploratory activities of companies based on the idea that experimentation with new courses of action and the need to describe them entails the adoption of new words in firm regulatory disclosures. Unlike traditional indicators, such as R&D spending, the proposed exploration indicator is available for all publicly traded firms across all industries. The exploration indicator predicts firm knowledge accumulation, as measured by future patenting and trademarking activities. It further shows that firm exploration declines after periods of high R&D spending and over time. The exploration indicator correlates positively with firm risk and exhibits a distinct positive impact on firm value unexplained by traditional innovation indicators. Our language-based approach can be applied to measure creative contributions in other domains, such as government grant applications and academic publications.

Plant-Derived Substances with Antibacterial, Antioxidant, and Flavoring Potential to Formulate Oral Health Care Products.

Bacterial diseases and reactive oxygen species can cause dental caries and oral cancer. Therefore, the present review analyzes and discusses the antibacterial and antioxidant properties of synthetic and plant-derived substances and their current and future patents to formulate dental products. The reviewed evidence indicates that chlorhexidine, fluorides, and hydrogen peroxide have adverse effects on the sensory acceptability of oral care products. As an alternative, plant-derived substances have antimicrobial and antioxidant properties that can be used in their formulation. Also, adding plant metabolites favors the sensory acceptability of dental products compared with synthetic compounds. Therefore, plant-derived substances have antibacterial, antioxidant, and flavoring activity with the potential to be used in the formulation of toothpaste, mouth rinses, dentures cleansers-fixatives, and saliva substitutes.

Helping the Little Guy: the impact of government awards on small technology firms

The Small Business Innovation Research (SBIR) program provides federally funded research awards to companies with 500 or fewer employees. We explore the differential effects of the National Aeronautics and Space Administration SBIR program on firms of various sizes on their future patenting activity. Using propensity score matching, we construct comparable samples of selected and non-selected Phase II SBIR applicants by firm size. We then estimate the effect of selection for the matched sample on the probability of forward patent activity and conditional on any forward patenting, the count of patents within three years of the proposal. While firms with fewer than 10 employees, are least likely to patent, their probability of patenting is positively affected by receiving a Phase II award. We find sparse evidence of corresponding increase for larger firms. Nor do we find any evidence that a Phase II award impacts the conditional number of forward patents in the three years following the award. These data suggest that the Phase II award serves to advance the smallest teams "over the hump" to creating a potential source of competitive advantage.

COVID-19 Vaccines: Systematic review

World facing pandemic challenges of SARS-Co-2 (Severe Acute Respiratory Syndrome Corona Virus 2). Tyrrell and Bynoe identified first strain of human corona virus in 1965. Infection was originated from Wuhan city of China on November 2019. Virus officially named as COVID-19 which causes respiratory tract infections in humans. Preliminary symptoms like chest pain with difficulty in breathing, reduced in systemic oxygen level, cough and fever. At present, the majority of the pharmaceutical companies were in race to developing antiviral drug and vaccines against COVID-19. Industries conducting the experiment and clinical trial of various vaccines to ensure effectiveness and safety on human. Several of them were documentation for patent, authorization of clinical trial and marketing. We provide an overview of Covid-19 history, types of vaccine and mechanism of actions, current future therapeutic drugs and patents. Relative with the mechanism of actions such as inactivated vaccine, vector vaccines, DNA and RNA based vaccine and antiviral drugs already entered in (Phase II and III) clinical trials. The systemic study specified brief summary of various vaccines. Current status of clinical trial, safety and effectiveness according to ICH guidelines. A major adverse interaction with their toxicity study. The information of approved which give opportunity for upcoming scientist to improve the quality, and minimize the adverse effects. Scientist may face challenges during the post marketing clinical trial. This pandemic has provided various scopes for researchers to develop vaccine and antiviral drugs.

A Language-Based Approach to Measuring Creative Exploration

We propose a new measure of the exploratory activities of companies based on the idea that experimentation with new courses of action and the need to describe them entails the adoption of new words in firm regulatory disclosures. Unlike traditional indicators, such as R&D spending, the proposed exploration indicator is available for all publicly traded firms across all industries. The exploration indicator predicts firm knowledge accumulation, as measured by future patenting and trademarking activities. It further shows that firm exploration declines after periods of high R&D spending and over time. The exploration indicator correlates positively with firm risk and exhibits a distinct positive impact on firm value unexplained by traditional innovation indicators. Our language-based approach can be applied to measure creative contributions in other domains, such as government grant applications and academic publications.

Collaboration networks, geography and innovation: Local and national embeddedness

AbstractThe relationship between collaboration, geography and innovation has been analysed in economic geography. However, little is known from a social‐network perspective about whether different geographical levels of embeddedness may determine the way networks affect innovation. To address this issue, we compare the effects of regional vs. country‐level Spanish networks on future patenting. If we consider the country‐wide network, our statistical analysis reproduces the findings of the previous literature. However, negative effects prevail at the regional level, while the influence seems to be rather positive at the country level. We thus conclude that the embeddedness at different geographical scales exerts differing influence on innovation.

The Trade Secrecy Standard for Patent Prior Art

A fundamental criterion of patentability is that an invention must be new as compared to the prior art—the corpus of preexisting knowledge and technology already available to the public. If an invention is in the prior art, or rendered obvious by it, it cannot be patented. The U.S. Patent Act has traditionally envisioned a categorical approach for deciding what counts as prior art. Under this approach, courts are supposed to decide whether a particular disclosure about the invention (a reference) falls within one of the categories listed in Section 102 of the Patent Act, such as “described in a printed publication,” “in public use,” or “on sale.” Yet the categorical approach lacks a coherent theory of publicness. It is difficult to find guiding principles to explain courts’ decisions about what is, or is not, public. For example, a woman wearing a corset invention at home under her clothing was deemed to be an invalidating “public use” that barred future patenting; yet an employee liberally sharing his invention with others at work was not. We argue that, while courts refer to the statutory categories, they are in reality turning to concepts of publicness that strikingly resemble those of a different legal regime: trade secret law. Indeed, our review of the cases shows that trade secrecy status is dispositive for what counts as prior art in many of the leading cases. At a normative level, we argue that trade secrecy provides a surprisingly effective way to manage the boundary between legally public and legally secret information, and for deciding whether a reference is truly “available to the public” in the ways that matter for patent policy and, indeed, information policy more broadly. Not only does the trade secrecy standard protect peoples’ justifiable reliance on information that is already available to them, but it simultaneously makes inventors’ paths to patenting more efficient.

Human capital, financial constraints, and innovation investment persistence

ABSTRACT We examine the impact of human capital on innovation investment persistence using a sample of high-tech companies listed in the Chinese A-share market for the period 2009–2017. We find that human capital mitigates the negative effect of financial constraints on innovation investment persistence. We further explore the mechanism through which human capital at the management and employee levels affects innovation investment persistence. We find that management human capital affects innovation investment persistence through the expectation of authorised patents, while employee human capital affects the persistence through salary stickiness. Furthermore, we find that management human capital contributes to an increase in future granted patents through persistent innovation investment.

Recent Patents on Radiotherapy Bed

Background: In order to increase the accuracy of radiotherapy and to improve the patient's comfort, diverse structures of radiotherapy bed have been designed and improved constantly. Objective: To provide an overview of recent patents about radiotherapy bed and to introduce their characteristics and development. Methods: In this study, various representative patents related to the radiotherapy bed were reviewed. Additionally, the structural characteristics and applications of the typical radiotherapy bed were introduced. Results: The characteristics of different radiotherapy beds were analyzed and concluded. Moreover, the main problems concerning their development were analyzed, and the current and future developments of patents on radiotherapy bed were also discussed. Conclusion: Radiotherapy bed is an important part of radiotherapy system, which also determines the therapeutic outcomes of radiotherapy. Further improvements are required in the aspects of accuracy, comfort, flexibility and result stability of the radiotherapy bed. More invention should be laid on more patents on radiotherapy beds.

The effect of patent acquisition on subsequent patenting activity

The importance of the patent market has increased in the high technology market due to open innovation and social efficiency. As most high-tech firms cannot rely on their own repository of technologies, they need to employ external technologies. These can be acquired through mergers and acquisitions (M&A) or from the patent markets, which is often referred to as open innovation. Because of insufficient comprehensive data and the complexity and contingency provision of the contract, there have been only a few empirical studies on patent transactions. This study seeks to understand the patenting activities of patent buyers after acquisition. By merging patent bibliographies and patent assignment information, the original dataset was prepared to investigate the patent acquisition activities of the patentees who were granted patents from 2007 to 2011 and their patent application activities from 2012 to 2016. The factors affecting patent production and acquisition and the relationship between patent acquisition and subsequent production were examined. The results show that the patent acquisition activity depends on the applicant type and technology field, and affects the future patent production of the applicant. Thus, observing a competitor's patent acquisition activities gives insights into the future direction of its technology development.

How to Measure and Draw Causal Inferences with Patent Scope

This paper presents an easy-to-use measure of patent scope that is grounded both in patent law and in the practices of patent attorneys. We validate our measure by showing both that patent attorneys’ subjective assessments of scope agree with our estimates, and that the behavior of patenters is consistent with it. Using our validation exercise, we find that previous measures of patent scope (i.e., the number of patent classes, the number of citations made by future patents, and the number of claims in a patent) are uninformative or misleading. To facilitate drawing causal inferences with our measure, we show how it can be used to create an instrumental variable, patent examiner scope toughness, which we also validate. We then demonstrate the power of this instrument by examining standard-essential patents. We show that an (exogenous) diminishment of patent scope leads to patents being much less likely to be declared standard essential.