Patents are essential for transferring scientific discoveries to meaningful products that benefit societies. While the academic community focuses on the number of citations to rank scholarly works according to their \"scientific merit,\" the number of citations is unrelated to the relevance for patentable innovation. To explore associations between patents and scholarly works in publicly available patent data, we propose to utilize statistical methods that are commonly used in biology to determine gene-disease associations. We illustrate their usage on patents related to biotechnological trends of high relevance for food safety and ecology, namely the CRISPR-based gene editing technology (>60,000 patents) and cyanobacterial biotechnology (>33,000 patents). Innovation trends are found through their unexpected large changes of patent numbers in a time-series analysis. From the total set of scholarly works referenced by all investigated patents (~254,000 publications), we identified ~1,000 scholarly works that are statistical significantly over-represented in the references of patents from changing innovation trends that concern immunology, agricultural plant genomics, and biotechnological engineering methods. The detected associations are consistent with the technical requirements of the respective innovations. In summary, the presented data-driven analysis workflow can identify scholarly works that were required for changes in innovation trends, and, therefore, is of interest for researches that would like to evaluate the relevance of publications beyond the number of citations.

Polyphenols are a group of naturally occurring compounds that have intriguing biological activities. Among these compounds is rutin, a polyphenolic flavanol found in many plants, including passion flowers, buckwheat seed, fruits and fruit rinds, and citrus fruits (such as orange, grapefruit, lemon, and lime). Various studies have demonstrated rutin to possess antibacterial, antifungal, antiallergic, anti-inflammatory, anti-diabetic, anti-adipogenic, anti-carcinogenic, anti-apoptotic, anti-osteoporotic, radioprotective, gastroprotective, neuroprotective, and nephroprotective activities. Despite its benefits, rutin\'s therapeutic applicability is severely limited due to its low water solubility, sensitivity to oxidation, and dissolving rate. However, these problems can be overcome by employing an efficient delivery approach. An extensive number of nanocarriers can be developed for medicinal use if pre-clinical as well as human-clinical studies are completed. The current review presents an overview of effective rutin nano-formulations for targeted therapy in various health disorders. This review article discusses the clinical evidence, current status, as well as future opportunities of rutin nanocarriers for increasing rutin\'s bioactivity for possible medicinal uses.

UNASSIGNED: Phenomics, an interdisciplinary field that investigates the relationships between genomics and environmental factors, has significantly advanced plant breeding by offering comprehensive insights into plant traits from molecular to physiological levels. This study examines the global evolution, geographic distribution, collaborative efforts, and primary research hubs in plant phenomics from 2000 to 2021, using data derived from patents and scientific publications.
UNASSIGNED: The study utilized data from the EspaceNet and Lens databases for patents, and Web of Science (WoS) and Scopus for scientific publications. The final datasets included 651 relevant patents and 7173 peer-reviewed articles. Data were geocoded to assign country-level geographical coordinates and underwent multiple processing and cleaning steps using Python, Excel, R, and ArcGIS. Social network analysis (SNA) was conducted to assess collaboration patterns using Pajek and UCINET.
UNASSIGNED: Research activities in plant phenomics have increased significantly, with China emerging as a major player, filing nearly 70% of patents from 2010 to 2021. The U.S. and EU remain significant contributors, accounting for over half of the research output. The study identified around 50 global research hubs, mainly in the U.S. (36%), Western Europe (34%), and China (16%). Collaboration networks have become more complex and interdisciplinary, reflecting a strategic approach to solving research challenges.
UNASSIGNED: The findings underscore the importance of global collaboration and technological advancement in plant phenomics. China\'s rise in patent filings highlights its growing influence, while the ongoing contributions from the U.S. and EU demonstrate their continued leadership. The development of complex collaborative networks emphasizes the scientific community\'s adaptive strategies to address multifaceted research issues. These insights are crucial for researchers, policymakers, and industry stakeholders aiming to innovate in agricultural practices and improve crop varieties.

Sphingolipids (SL) are well recognized for their cell signaling through extracellular and intracellular pathways. Based on chemistry different types of SL are biosynthesized in mammalian cells and have specific function in cellular activity. SL has an ampiphilic structure with have hydrophobic body attached to the polar head enables their use as a drug delivery agent in the form of nanocarriers. SL-based liposomes can improve the solubility of lipophilic drugs through host and drug complexes and are more stable than conventional liposomal formulations. Preclinical studies of SL nanocarriers are reported on topical delivery, oral delivery, ocular delivery, chemotherapeutic delivery, cardiovascular delivery and Alzheimer\'s disease. The commercial challenges and patents related to SL nanoformulations are highlighted in this article.
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Weeds cause significant agricultural losses worldwide, and herbicides have traditionally been the main solution to this problem. However, the extensive use of herbicides has led to multiple cases of weed resistance, which could generate an increase in the application concentration and consequently a higher persistence in the environment, hindering natural degradation processes. Consequently, more environmentally friendly alternatives, such as microbial bioherbicides, have been sought. Although these bioherbicides are promising, their efficacy remains a challenge, as evidenced by their limited commercial and industrial production. This article reviews the current status of microbial-based bioherbicides and highlights the potential of cell-free metabolites to improve their efficacy and commercial attractiveness. Stirred tank bioreactors are identified as the most widely used for production-scale submerged fermentation. In addition, the use of alternative carbon and nitrogen sources, such as industrial waste, supports the circular economy. Furthermore, this article discusses the optimization of downstream processes using bioprospecting and in silico technologies to identify target metabolites, which leads to more precise and efficient production strategies. Bacterial bioherbicides, particularly those derived from Pseudomonas and Xanthomonas, and fungal bioherbicides from genera such as Alternaria, Colletotrichum, Trichoderma and Phoma, show significant potential. Nevertheless, limitations such as their restricted range of action, their persistence in the environment, and regulatory issues restrict their commercial availability. The utilization of cell-free microbial metabolites is proposed as a promising solution due to their simpler handling and application. In addition, modern technologies, including encapsulation and integrated management with chemical herbicides, are investigated to enhance the efficacy and sustainability of bioherbicides.

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.

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Drug delivery through the blood-brain barrier (BBB) is one of the key challenges in the modern era of medicine due to the highly semipermeable characteristics of BBB that restrict the entry of various drugs into the central nervous system (CNS) for the management of brain disorders. Drugs can be easily incorporated into carbon nanocarriers that can cross the bloodbrain barrier. Numerous nanocarriers have been developed, including polymeric nanoparticles, carbon nanoparticles, lipid-based nanoparticles, etc. Among these, carbon nanostructures could be superior due to their easier BBB penetration and strong biocompatibility. Several CDs (Carbon dots) and CD-ligand conjugates have explored effectively penetrating the BBB, which enables significant progress in using CD-based drug delivery systems (DDS) to manage CNS diseases. Despite the drug delivery applications, they might also be used as a central nervous system (CNS) drug; few of the carbon nanostructures show profound neurodegenerative activity. Further, their impact on neuronal growth and anti- amyloid action is quite interesting. The present study covers diverse carbon nanostructures for brain-targeted drug delivery, exploring a variety of CNS activities. Moreover, it emphasizes recent patents on carbon nanostructures for CNS disorders.

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UNASSIGNED: Protein tyrosine phosphatases (PTPs), essential and evolutionarily highly conserved enzymes, govern cellular functions by modulating tyrosine phosphorylation, a pivotal post-translational modification for signal transduction. The recent strides in phosphatase drug discovery, leading to the identification of selective modulators for enzymes, restoring interest in the therapeutic targeting of protein phosphatases.
UNASSIGNED: The compilation of patents up to the year 2023 focuses on the efficacy of various classes of Tyrosine phosphatases and their inhibitors, detailing their chemical structure and biochemical characteristics. These findings have broad implications, as they can be applied to treating diverse conditions like cancer, diabetes, autoimmune disorders, and neurological diseases. The search for scientific articles and patent literature was conducted using well known different platforms to gather information up to 2023.
UNASSIGNED: The latest improvements in protein tyrosine phosphatase (PTP) research include the discovery of new inhibitors targeting specific PTP enzymes, with a focus on developing allosteric site covalent inhibitors for enhanced efficacy and specificity. These advancements have not only opened up new possibilities for therapeutic interventions in various disease conditions but also hold the potential for innovative treatments. PTPs offer promising avenues for drug discovery efforts and innovative treatments across a spectrum of health conditions.