[Webinar held on December 12] Search for new papers using AI-Drug discovery process is drastically changed-
Researchers spend a great deal of time and effort collecting information in order to capture the vast amount of information that is increasing year by year in a timely manner.In addition, it is said that the probability of reaching a clinical trial from basic research is 3,000 in 5,000 to 1 / 5, and the research period takes as long as 8 to XNUMX years, and the enormous amount of time and effort spent to obtain one result. However, it has become a major issue in drug discovery research.
Introducing "Amanogawa", a paper search AI system that can instantly extract and classify the information you want to search from the huge amount of paper information published in PubMed and display it as location information.
◆ Theme: Searching for new papers using AI-Drastic transformation of drug discovery process-
◆ Date: September 2021, 12 (Wednesday) 22: 17-00: 17
・ Those who want to streamline article search
・ Those who are involved in drug discovery research
・ Those who are interested in solutions using AI
Tomoya Ohsumi (Director, Medical DX Team, Life Science AI Business Headquarters, FRONTEO Inc.)
In 2020, he obtained a Master of Business Administration (MBA) from Waseda University Business School.While attending school, he conducted quantitative research on the clinical development of ethical drugs and wrote a master's thesis.
Joined FRONTEO in 2021 and became the head of the medical DX team of the Life Science AI Business Headquarters. Challenge to solve medical problems by utilizing AI.
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