Patent data mining: A tool for accelerating HIV vaccine innovation

Dendritic-cell-based technology landscape: Insights from patents and citation networks

“…Since patenting strategies cover upstream and downstream products, 12 we manually organized and cataloged the patents into upstream technologies (DCs obtainment and/or enrichment, antigen-targeted assays), downstream inventions (DC-targeted immune modulating formulation, immune response assessment) and other limbic products. The subsequent studies discussed in this paper also use this classification system.…”

“…Recently, investigations of patenting activities specified the current status, discovered the technological position, determined technical landmarks and forecast technology development tendency in a sector, technology domain or company, which had proved effective in previous studies. [7][8][9][10][11][12] Our study aims to identify patent activities relevant to DCs, to capture a profile of technologies related to DCs and further provide researchers, policy-makers and investors with data for making sound decisions. Facilitating R&D of DC-related products and therapeutic tactics is important.…”

Big Data Applications in Vaccinology

“…For example, Frampton (2018) describes a Spark-based stack for the creation of an open source Big Data stack, Lu et al (2018) present a Deep Learning Over Big Data (DLoBD) stack that provides a more specific approach to combining Big Data with high performance computing and compare performance across multiple configurations, and Sakr (2017) analyzes the performance variations between Apache and Hadoop -based stacks. For the present study, a Big Data stack might be a valuable lens through which Agarwal et al, 2020;Bhattacharjee et al, 2015;Bhatti et al, 2018;Chen et al, 2020;Clark et al, 2011;Hovav et al, 2017;Montagna et al, 2020;Pennisi, Russo & Pappalardo, 2018;Sujaree, 2019;Wu et al, 2019;Yong et al, 2020;Yu et al, 2019 to view the contributions of some of the authors. While it is infeasible to evaluate each contribution through this lens, a few examples of each type will be useful.…”

“…Chen et al (2020) use ML to develop clinical decision support system for shingles vaccination and Hovav et al ( 2017) take a similar approach using health care analytics to support an influenza vaccination program. Finally, Bhatti et al (2018) utilize datamining to help create a recommender system to support optimal coverage of vaccinations and Clark et al (2011) propose the use of patent data mining to find vaccines that can be repurposed for other uses to avoid the time and expense of new vaccine development. Table 7 presents the papers categorized in the Miscellaneous theme.…”

Harnessing the power of patent information to accelerate innovation

“…Particularly, patents are a great resource to observe research that is being conducted in the private sector, which is often not published in public resources, stimulating new ideas and importantly preventing the reinvention of the wheel 12,13. Patent information can help identify potential collaborators and/or tools that may hasten or improve research development, launch a new product in the market, and/or establish FTO 14…”