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[Hybrid Seminar on 11/14] How to Utilize Paper Search AI in the Exploration of New Targets for Stevens-Johnson Syndrome | Rare Disease Analysis Series

FRONTEO

In the Rare Disease Analysis Series, we will introduce the system overview and utilization methods of the paper exploration AI system "KIBIT Amanogawa," which can instantly detect highly similar and relevant paper information, genes, and diseases based on input words or sentences from a vast amount of paper information, with a focus on target exploration for rare diseases. The theme of this session is "Stevens-Johnson Syndrome." Stevens-Johnson Syndrome is a rare disease characterized by symptoms resembling rashes or burns accompanied by high fever affecting the skin and mucous membranes throughout the body. The main cause is believed to be related to pharmaceuticals, although some cases are known to occur in association with viral infections. In many cases, recovery occurs through treatment, but severe cases can lead to death due to sepsis or multiple organ failure. In this seminar, we will demonstrate how to extract genes related to Stevens-Johnson Syndrome using paper exploration AI and establish hypotheses for treatment targets, providing effective ways to utilize KIBIT Amanogawa to gain insights for research.