Bright! FRONTEO Official Blog

Bright! FRONTEO Official Blog

Exploring patient stratification biomarkers for IgA nephropathy using AI: Overcoming bias with AI

●“Searching for patient stratification biomarkers for IgA nephropathy using AI: Overcoming bias with AI”
I think there are many people who have had the experience of thinking, ``Wow, that's how I thought...'' when reading a mystery novel, but this is based on our empirical rules and common sense. Unconscious bias is involved. It is no exaggeration to say that eliminating unconscious bias is the key to achieving a high level of novelty in drug discovery research.
In IgA nephropathy (designated intractable disease), which is a type of chronic glomerulonephritis, the urine protein level generally worsens with oscillation. However, some patients go into remission (regardless of treatment), which is thought to reduce the probability of success in clinical trials.
In this webinar, we will use the search for patient stratification biomarkers for IgA nephropathy as an example to demonstrate how unconscious bias can be overcome by "talking with AI."

●“Enhancement of AI drug discovery support service: Utilizing Springer Nature’s 600 journal data”
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.
We also recently announced the launch of a new service that analyzes 600 Springer Nature journals. We will also inform you about the enhanced Drug Discovery AI Factory functionality.

Click here for registration and seminar details:https://lp.fronteo.com/BP-WBN-20240426-LSAI_Registration.html
 

Outline of the event

[Date and time] January 2024, 4 (Friday) 26:12~00:13

[Format] Online (Zoom Webinars)

[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.

 

 
Speakers/panelist:

nakazono_square.jpgFRONTEO 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.
Manager, Life Science AI Research Team, Life Science AI Business Headquarters
Ph.D. (Pharmacy)
Kazumi Hayashi

After obtaining a doctorate in pharmaceutical sciences, he joined Yamanouchi Pharmaceutical (currently Astellas Pharma).He is active as a research manager in the fields of inflammation, cardiovascular systems, and kidneys.He established the Drug Repurposing Laboratory and engaged in DR research. He is in charge of devising analysis methods using KIBIT, planning analysis policies, analysis, and hypothesis generation.

Share this article