● "AI-based Virtual Experiments: Searching for new targets for anticancer drug resistance"
Gene knockout and other experimental evaluation methods are used to evaluate the functions of candidate molecules as drug discovery targets. However, the challenge is that evaluation in disease models and experimental evaluation of many genes are not easy to carry out. To solve this problem, we have developed a unique analysis method called "Virtual Experiments" that virtually deletes the target gene from a disease network created by our unique natural language processing AI engine and reconstructs a new disease network to predict the disease state after gene knockout. In this seminar, we will introduce a solution that utilizes Virtual Experiments using the issue of anticancer drug resistance as an example.

● “AI drug discovery research support solution specialized for hypothesis generation”
It is currently extremely difficult for drug discovery researchers to discover target molecules with unreported association with disease. At the FRONTEO Drug Discovery AI Factory, biologists who have extensive drug discovery experience cultivated at major pharmaceutical companies and international research institutes and a deep understanding of AI utilize in-house developed natural language processing AI and use their own analysis methods.By using this, it has become possible to propose multiple highly novel target genes and their hypotheses in a short period of time.
We will introduce support for significantly improving the efficiency, acceleration, and success rate of drug discovery research through the fusion of AI and biologists.

[Date and Time] Please choose a time that is convenient for you.
・Daytime session: Thursday, October 2024, 10 24:12~40:13
・Evening session: Thursday, October 2024, 10 24:16~10:17

[Format] Online (Zoom Webinars)
*Please note that all lectures will be recorded and streamed.

[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.
Life Science AI Business Headquarters
Life Science AI Research Team Manager
Ph.D. (Science)
Toshiyuki Mikami

After graduating from Waseda University and Tokyo Institute of Technology, he joined Sumitomo Chemical Co., Ltd.He is involved in drug discovery basic technology development and drug discovery exploration.He is also engaged in drug discovery research using cutting-edge genome-related technologies at the Genome Science Research Institute.Currently, he is leading AI drug discovery and AI analysis work in the oncology field.