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.

Cancer treatment modalities and their progression is guided by the specifics of cancer, including its type and site of localization. Surgery, radiation, and chemotherapy are the most often used conventional treatments. Conversely, emerging treatment techniques include immunotherapy, hormone therapy, anti-angiogenic therapy, dendritic cell-based immunotherapy, and stem cell therapy. Immune checkpoint inhibitors\' anticancer properties have drawn considerable attention in recent studies in the cancer research domain. Programmed Cell Death Protein-1 (PD-1) and its ligand (PD-L1) checkpoint pathway are key regulators of the interactions between activated T-cells and cancer cells, protecting the latter from immune destruction. When the ligand PD-L1 attaches to the receptor PD-1, T-cells are prevented from destroying cells that contain PD-L1, including cancer cells. The PD-1/PD-L1 checkpoint inhibitors block them, boosting the immune response and strengthening the body\'s defenses against tumors. Recent years have seen incredible progress and tremendous advancement in developing anticancer therapies using PD-1/PD-L1 targeting antibodies. While immune-related adverse effects and low response rates significantly limit these therapies, there is a need for research on methods that raise their efficacy and lower their toxicity. This review discusses various recent innovative nanomedicine strategies such as PLGA nanoparticles, carbon nanotubes and drug loaded liposomes to treat cancer targeting PD-1/PD-L1 axis. The biological implications of PD-1/PD-L1 in cancer treatment and the fundamentals of nanotechnology, focusing on the novel strategies used in nanomedicine, are widely discussed along with the corresponding guidelines, clinical trial status, and the patent landscape of such formulations.

Patents are important tools to protect innovations in the food industry. They are also indicators of the research and development of an institution. Universities play a significant role in generating and developing innovative technologies. Center for Support to Technological Development (CDT is the Technological innovation center (NIT) that is responsible for protecting the technologies developed by the academic community of the University of Brasilia (UnB). This case study analyzes the patents and patent applications related to food deposited by the UnB. For this purpose, a search was conducted on the National Institute of Industrial Property (INPI) institutional page through the patent database. The results show diverse applications to the food area that are mainly related to biotechnology. Half of the protections are still in progress in the INPI workflow. The requirements issued were primarily related to national genetic heritage. Archiving processes were identified due to non-payment, but we highlighted that it could be a strategic decision of NIT/CDT. Rejections were mainly related to the lack of novelty or inventive steps. Currently, two food-related patents are in force that took, on average, nine and a half years to be granted. Although UnB exclusively owns the majority, the results also evidence co-ownership with other universities and companies. Finally, this study highlights possible partnerships between UnB and the food industry through technology transfer. The technology transfer indicators pointed out that UnB has expertise in this area and that there is a potential to be explored. These results contribute to strategic decision-making in developing new technologies related to food and nutrition and their transfer to society. The scale-up and the increased degree of maturity require greater interaction with the productive sector to ensure the transfer of technology for innovation arising from the research conducted at UnB.

Climate change-related environmental challenges are prompting an increasing number of countries to set carbon-neutral targets. Since 2007, China has pursued numerous initiatives to attain carbon neutrality by 2060, including increasing the percentage of non-fossil energy, developing zero-emission and low-emission technologies, and taking actions that reduce CO2 emissions or boost carbon sinks. As a result, utilizing quarterly data from 2008/Q1 to 2021/Q4, and applying the nonlinear autoregressive distributed lag (NARDL) approach, this study evaluates the effectiveness of the measures taken by China to improve the ecological situation. The results of the study show that the measures enacted to reduce CO2 emissions did not accomplish their ultimate purpose. Specifically: (i) high-speed railways and new energy vehicles do not improve the environment in the long run; (ii) investments and patents in the energy sector, as well as low-carbon sources, will degrade the environment; (iii) only investments in the treatment of environmental pollution will improve the ecological situation. Various policy implications are suggested based on the empirical results in order to attain environmental sustainability.

This study attempts to analyze patents as cited/mentioned documents to better understand the interest, dissemination and engagement of these documents in social environments, laying the foundations for social media studies of patents (social Patentometrics).Particularly, this study aims to determine how patents are disseminated on Twitter by analyzing three elements: tweets linking to patents, users linking to patents, and patents linked from Twitter. To do this, all the tweets containing at least one link to a full-text patent available on Google Patents were collected and analyzed, yielding a total of 126,815 tweets (and 129,001 links) to 86,417 patents. The results evidence an increase of the number of linking tweets over the years, presumably due to the creation of a standardized patent URL ID and the integration of Google Patents and Google Scholar, which took place in 2015. The engagement achieved by these tweets is limited (80.2% of tweets did not attract likes) but increasing notably since 2018. Two super-publisher twitter bot accounts (dailypatent and uspatentbot) are responsible of 53.3% of all the linking tweets, while most accounts are sporadic users linking to patent as part of a conversation. The patents most tweeted are, by far, from United States (87.5% of all links to Google Patents), mainly due to the effect of the two super-publishers. The impact of patents in terms of the number of tweets linking to them is unrelated to their year of publication, status or number of patent citations received, while controversial and media topics might be more determinant factors. However, further research is needed to better understand the topics discussed around patents on Twitter, the users involved, and the metrics attained. Given the increasing number of linking users and linked patents, this study finds Twitter as a relevant source to measure patent-level metrics, shedding light on the impact and interest of patents by the broad public.

Microneedles have the clinical advantage of being able to deliver complex drugs across the skin in a convenient and comfortable manner yet haven\'t successfully transitioned to medical practice. Diabetes mellitus is a complicated disease, which is commonly treated with multiple daily insulin injections, contributing to poor treatment adherence. Firstly, this review determines the clinical prospect of microneedles, alongside considerations that ought to be addressed before microneedle technology can be translated from bench to bedside. Thereafter, we use diabetes as a case study to consider how microneedle-based-technology may be successfully harnessed. Here, publications referring to insulin microneedles were evaluated to understand whether insertion efficiency, angle of insertion, successful dose delivery, dose adjustability, material biocompatibility and therapeutic stability are being addressed in early stage research. Moreover, over 3,000 patents from 1970-2019 were reviewed with the search term \'\"microneedle\" AND \"insulin\"\' to understand the current status of the field. In conclusion, the reporting of early stage microneedle research demonstrated a lack of consistency relating to the translational factors addressed. Additionally, a more rational design, based on a patient-centred approach is required before microneedle-based delivery systems can be used to revolutionise the lives of people living with diabetes following regulatory approval.

This article posits that Australia, as an affluent country with increasing capacity to manufacture vaccines, has an obligation to assist its regional (and global) counterparts in implementing vaccination programs that protect their populations. First, the article explores the capacity of high-income nations to meet their obligations, assist their neighbours and refrain from vaccine nationalism. This inquiry involves an analysis of the optimal ethical strategy for distributing vaccines globally, and the role that Australia might play in this distribution strategy. Secondly, the article examines the intellectual property landscape for vaccines in Australia, focusing on the patents that cover vaccine compositions and manufacturing techniques (recognizing the potential for know-how and access to materials as well as patents to affect manufacturing capacity). This article then discusses the strategies the Australian Government has at its disposal to counter potential intellectual property impediments whilst complying with existing obligations under the Agreement on Trade-related Aspects of Intellectual Property Rights (TRIPS), as an ethically appropriate response to the pandemic. This article also considers whether a so-called TRIPS waiver could provide better options and concludes that the challenge of compelling disclosure of know-how remains.

UNASSIGNED: This study aimed to translate the revised 17-item Diabetes Distress Scale (DDS17, 2017) into mandarin (simplified) Chinese and validate the Chinese version of DDS17 (C-DDS17, 2021) among adult patients with type 2 diabetes in China.
UNASSIGNED: A scale translation and cross-sectional validation study was conducted. The DDS17 was translated into mandarin (simplified) Chinese through a five-step process: authorization, forward translation, synthesis, back translation, and amendment. During this session, 59 patients assessed the understandability and readability of the translated scale. From June 7 to September 4, 2021, a cross-sectional study that adhered to the COSMIN checklist was conducted with 400 individuals with type 2 diabetes from three Class A tertiary comprehensive hospitals in Beijing, China. The content, construct, convergent, discriminant validity, and reliability (Cronbach\'s α coefficient and item-total correlation coefficients) of the C-DDS17 were evaluated. This study was a part of a project registered in the Chinese Clinical Trial Registry (no. ChiCTR2100047071).
UNASSIGNED: Among the participants, 33.3% (133/400) of them experienced moderate to high diabetes distress. The content validity indices of the C-DDS17 equaled 1.00. The scale yielded a four-factor structure. The average variances extracted were 0.42-0.57, which was lower than squared correlations. Cronbach\'s α coefficient was 0.88 for the overall scale and ranged from 0.76 to 0.81 for sub-scales. Corrected item-total correlation coefficients ranged from 0.42 to 0.61. The eighth item (\"Feeling that I am often failing with my diabetes routine\") was better fit to physician distress than regimen distress but had little influence on the validation results.
UNASSIGNED: The C-DDS17 is a reliable and valid instrument for assessing diabetes distress in patients with type 2 diabetes. It is a promising instrument for early identification and management of diabetes distress in clinical practice and trials.

How might one identify, via publicly accessible websites, research-active specialists at an academic medical center? As a case study, health-informatics specialists were identified at two academic medical centers: University of Colorado, Anschutz Medical Campus, and University of Maryland-Baltimore. Four types of data about researchers were sought: frequency of publication, frequency of citations, money from grants, and patents. Based on frequency of published articles, one center favored bioinformatics and cardiology, whereas the other produced more results in nursing and radiology. Interestingly, different patterns were found across different data sets. This bibliometric method contrasted with the method of searching for active researchers via a web portal showing board-certified specialists at a particular institution. This alternative approach was tried for informatics and sleep medicine, and the bibliometric method seemed to produce better recall and precision.

Hydrogels are known for their leading role in biomaterial systems involving pharmaceuticals that fascinate material scientists to work on the wide variety of biomedical applications. The physical and mechanical properties of hydrogels, along with their biodegradability and biocompatibility characteristics, have made them an attractive and flexible tool with various applications such as imaging, diagnosis and treatment. The water-cherishing nature of hydrogels and their capacity to swell-contingent upon a few ecological signals or the simple presence of water-is alluring for drug conveyance applications. Currently, there are several problems relating to drug delivery, to which hydrogel may provide a possible solution. Hence, it is pertinent to collate updates on hydrogels pertaining to biomedical applications. The primary objective of this review article is to garner information regarding classification, properties, methods of preparations, and of the polymers used with particular emphasis on injectable hydrogels. This review also covers the regulatory and other commerce specific information. Further, it enlists several patents and clinical trials of hydrogels with related indications and offers a consolidated resource for all facets associated with the biomedical hydrogels.