Wound-healing patent data

Wound-healing patent dat

Identifying the trends in wound-healing patents for successful investment strategies.

BACKGROUND:Recently, the need for rapid wound-healing has significantly increased because of the increasing number of patients who are diagnosed with diabetes and obesity. These conditions have contributed to a surge in the number of patients with chronic wounds worldwide. Furthermore, many cost-effective wound-healing technologies have been developed in order to keep up with the increased demand. In this paper, we performed a quantitative study of the trends associated with wound-healing technologies using patent data. METHODOLOGY:We analyzed the trends considering four different groups of patent applicants: firms, universities, research institutes, and individuals using a structural topic model. In addition, we analyzed the knowledge flow between patent applicants using citation analysis, and confirmed the role of applicants in the knowledge-flow network using k-means clustering. As a result, the primary wound-healing technology patents applied for by the four groups varied considerably, and we classified the roles of patent applicants were found in the knowledge-flow network. CONCLUSIONS:Our results showed the organizations that are leading each area of wound-healing technology. Furthermore, from the results, we identified specific institutions that are efficient for spreading knowledge related to wound-healing technology based on the patents. This information can contribute to the planning of investment strategies and technology policies related to wound-healing

Trends of wound-healing technologies for individuals.

<p>Trends of wound-healing technologies for individuals.</p

Few top applicants for each topic and the number of patents applied for by applicants

<p>Few top applicants for each topic and the number of patents applied for by applicants</p

Distribution of top 10 IPC classes (Source: WIPO)

<p>Distribution of top 10 IPC classes (Source: WIPO)</p

Distribution of each applicant in knowledge network.

<p>Distribution of each applicant in knowledge network.</p

Distribution of IPC main classes by trademark office

<p>Distribution of IPC main classes by trademark office</p

Keywords and naming by each topic

<p>Keywords and naming by each topic</p

Classifications of each applicant according to their roles

<p>Classifications of each applicant according to their roles</p

Knowledge networks in the wound-healing ecosystem.

<p>Knowledge networks in the wound-healing ecosystem.</p