Public Research Institutions in Medical and Life Sciences Cross-Analyze Reports and Evaluations to Visualize Policy Discussion Points: Pioneering Use Case of Cross-Sectional Analysis of Research Outcomes Released [AI IPGenius]

LegalTech Inc. (Minato-ku, Tokyo; Representative Director: Tomoyuki Hirai) has launched "AI IPGenius on IDX," an intellectual asset knowledge base that supports policy consideration through cross-sectional analysis of research outcome materials, targeting public research institutions in the medical and life sciences field.

It cross-sectionally analyzes past research outcome reports and evaluation documents, organizes common issues and discussion themes, and systematically arranges and visualizes them in a format that can be referenced during policy consideration.

This case is a pioneering example of the cross-sectional analysis of research outcomes in public research institutions.

Background

In public research institutions in the medical and life sciences field, numerous research projects are conducted based on national policies and research support programs. While the results of these projects are accumulated as reports and evaluation documents, they are often managed on an annual or project-by-project basis, making it difficult to comprehensively grasp past deliberation processes and discussion points.

In policy consideration and the design of future projects, it is necessary to refer not only to individual research outcomes but also to insights and evaluation results common across multiple projects. Against this backdrop, there is a demand for a mechanism to systematically organize research outcome materials and utilize them in a reusable format.

Use Case: AI Cross-Analyzes Reports and Evaluations to Organize Reference Knowledge for Policy Consideration

At a public research institution (name undisclosed) dealing with the medical and life sciences field, the following materials were input into AI IPGenius on IDX and utilized:

・Outcome reports of research projects

・Interim and ex-post evaluation reports

・Committee and study group materials

・Past survey and analysis reports

AI IPGenius on IDX cross-sectionally analyzed these unstructured data, organizing:

・Key discussion points for each research field

・Issues repeatedly mentioned in evaluation reports

・Common discussion themes across past projects

and other relevant information.

The person in charge utilized the organized information as a basis for reference materials and explanatory documents during policy consideration.

Furthermore, a system was established to link the extracted technology and research themes with MyTokkyo.Ai, allowing for the confirmation of the positioning of related research and technological trends.

About AI IPGenius on IDX

FAQ

What is the name of the new intellectual asset knowledge base introduced by LegalTech Inc.?

LegalTech Inc. has launched an intellectual asset knowledge base named "AI IPGenius on IDX" for policy support.

What is the main function of AI IPGenius on IDX concerning research outcomes?

AI IPGenius on IDX cross-sectionally analyzes research outcome reports and evaluations to visualize policy discussion points clearly.

Which specific institutions are the primary targets for the application of AI IPGenius on IDX?

The system targets public research institutions specifically within the medical and life sciences field.

What types of materials are utilized as input for AI IPGenius on IDX in its use case?

Input materials include outcome reports, interim and ex-post evaluation reports, and committee materials for comprehensive analysis.

What significant problem does AI IPGenius on IDX aim to solve regarding past research deliberations?

It aims to overcome the difficulty of comprehensively grasping past deliberation processes, which are often managed annually.

Back to Newsroom (8)