MBX
Our profile
We are a data analysis provider utilizing artificial intelligence. By selecting appropriate feature values and internal analysis of artificial intelligence, we help you gain insight into biological mechanisms and the relationship between living organisms and the environment. It supports AI analysis of a wide range of data sets such as images, time-series data and genes, and is active in various fields from diagnostic support to breeding and brewing/fermentation technology development. In the medical field, we are mainly working on rare diseases and cancer. MBX believes that correct understanding and technical superiority are the keys to success. If you would like to consult with us, please feel free to contact us.
Representatives are introduced on linkedin at the bottom.
Service
Artificial intelligence (neural network) learns the relationship between various domains such as clinical information, test values, genetic information, gene expression information, and environmental information independently and with a certain degree of relationship. The internal analysis of the learned artificial intelligence reveals the relationships between input items across domains.
Domain interaction finder
It directly extracts and analyzes the relationships between input items across domains from trained artificial intelligence. Gain new insights into the relationship between gene expression and mutations and symptoms. This will be used to stratify/individualize patients and discover new drug targets. In addition, in diseases that present various symptoms across multiple organs, it is possible to analyze the relationship between the damaged organs. It also supports learning and analysis of time-series data, and through cross-symptom and time-longitudinal analysis, it leads to the identification of early symptoms that lead to aggravation, and is used as a diagnostic support technology.
Create a predictive model
A predictive model is created by transfer learning artificial intelligence whose validity is evaluated by internal analysis to a generative adversarial model. Describe your service here. What makes it great? Use short catchy text to tell people what you offer, and the benefits they will receive. A great description gets readers in the mood, and makes them more likely to go ahead and book.
We must admit with humility that, while number is purely a product of our minds, space has a reality outside our minds, so that we cannot completely prescribe its properties a priori.
Johann Karl Friedrich Gauss
news
Participating in the Ministry of Health, Labor and Welfare's research study on refractory renal disorders.
I am working on "research on stratification of refractory kidney disease by applying deep learning".
https://www.mhlw.go.jp/content/001113545.pdf
paper:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668942/pdf/10157_2022_Article_2256.pdf
https://link.springer.com/content/pdf/10.1007/s10157-023-02337-x.pdf
Participating in the Osaka Consortium for Kidney disease Research (OCKR).
We are participating in the Ministry of Health, Labor and Welfare's "Clinical Innovation Network Project".
Participating in "Grant-in-Aid for Improving the Quality of Adult T-cell Leukemia-Lymphoma (ATL) Registry" and "Grant-in-Aid for Improving the Quality of Registry of HTLV-1 Infected Persons".
Representative institution: Osaka Prefectural Hospital Organization Osaka International Cancer Center
Our division: Development of artificial intelligence for determining ATL cells and analysis of association with clinical information
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