In drug discovery research, it is essential to check daily paper information and public databases, and update knowledge and knowledge of important information.However, the number of documents is increasing year by year, and it is already difficult for humans to cover all the necessary information.
The article search AI "KIBIT Amanogawa" can instantly detect and analyze article information with high similarity and relevance from the huge amount of article information of over 3000 million articles published on Pubmed.
It makes it possible to find information that could not be found through conventional keyword searches and information that is not biased by the searcher, realizing objective and comprehensive analysis in medical and drug discovery research.

●“KIBIT Amanogawa, a discovery-type concept search AI system specializing in hypothesis generation”
In this section, we will introduce an overview of the AI ​​algorithms and systems installed in KIBIT Amanogawa.

●“Searching for therapeutic targets for pancreatic cancer - Using AI to search for papers”
In this section, we will give a practical lecture on how to use KIBIT Amanogawa with the theme of searching for target genes for pancreatic cancer.
We will take a deep dive using KIBIT Amanogawa's five functions, while also touching on the differences with search results from PubMed, ChatGPT, and Google.

Date and time] Thursday, April 2024, 4 25:16~10:17
Trial session (only for those participating at the real venue): November 2024, 4 (Thursday) 25:17-00:17 (free to leave)

[Format] Online (Zoom Webinars) & real venue held simultaneously
*Bento and drinks will be provided at the real venue.Please join us as a luncheon seminar.

[Venue] FRONTEO Co., Ltd. Shinagawa Head Office 4th floor AI Tech Lounge
(Address: Meisan Takahama Building, 108-0075-2 Konan, Minato-ku, Tokyo 12-23)
*Capacity: 20 people (first-come, first-served basis. If the capacity is exceeded, you will be placed on a waiting list for cancellations)

[Participation conditions]
We kindly ask that you refrain from applying if you are using the free address, if you are in the same industry as us, or if you do not know your affiliation.When accessing Zoom on the day, please enter your name and email address that you entered at the time of application in the entry field for Zoom participation.

FRONTEO Inc.
Life Science AI Business Headquarters
AI drug discovery team manager
Go Nakazono

Majored in applied physics at Fukuoka University Faculty of Science.
Worked as a key account manager in BtoB business in the advertising industry.
In the pharmaceutical industry, he has experience in MR, marketing, academics, etc., mainly targeting rare diseases, blood diseases, and pediatric diseases. His previous job was as an area manager at Takeda Pharmaceutical Company.
Currently working on expanding the AI ​​drug discovery business at the Life Science AI Business Headquarters.



FRONTEO Inc.
Customer Success Department
AI Consulting Team Manager
Shuhei Narita

Experienced in physical and chemical analysis in the CMC area, analysis using microorganisms and cells, and biopharmaceutical analysis at a pharmaceutical analysis contract company. After that, he was in charge of business development and POC program manager at CRO, and has a rich track record of formulating business plans and providing consultation from the early stages of drug development to licensing out, mainly for bio-ventures and academia.
Currently belongs to FRONTEO Co., Ltd. Customer Success Department, and based on past experience, works as an AI consultant in charge of the medical industry. He provides a wide range of support from introduction to operation of AI solutions, including the paper search AI system "KIBIT Amanogawa," and strives to make the best use of AI in companies.