Solve the world's remaining health problems through quantifying the power of immunity.
Approximately 470 million years ago, the most evolved immune cell known as the "T cell", having different sensors in each cell, recognizes and destroys even virus-infected autologous cells, was born.
We, as ImmuniT Research, have the founding principle that is to thoroughly elucidate and understand the phenomenon of anti-tumor immunity and to propose methods to guide it correctly, and have developed a technology to quantify and monitor immunity in the course of our research on tumor immunity.
Based on this technology, we will build an immune data platform that will enable companies and researchers to accelerate the development of diagnostic, therapeutic, and preventive methods.
Pipeline
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Code nameCellsTarget diseasesProductPhaseResearchDevelopmentSale
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- CD62L low
- Cancer
- diagnostic agent, therapeutic drug
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Research DevelopmentLicense out
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- Th7R
- Cancer
- diagnostic agent, therapeutic drug
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Research DevelopmentLicense out
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- Th7R
- Covid-19
- diagnostic agent
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Research Development
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- (unrevealed...)
- (unrevealed...)
- diagnostic agent
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Research
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IMTR001Development of diagnostic methods to pre-predict the efficacy of PD-1 antibodies in cancer therapy.
We have developed a highly specific and sensitive method to predict the effect of immune checkpoint inhibitors (Nivolumab) by examining lymphocytes in the blood.
The method has several advantages: It does not use cancer tissue, is relatively inexpensive, analyzed quickly and are already used in clinical trials.
Patent No. 6664684
Joint research with Professor Hiroshi Kagami of Saitama Medical University.
IMTR002Biomarkers for predicting response to cancer therapy. (Th7R)
The study on a new immune cell (Th7R), CCR4-CCR6 + CD4+ T cells, discovered it is possible to predict the effects of immune checkpoint inhibitors, PD-1 inhibitors or PD-L1 inhibitors, more easily and with higher sensitivity and specificity than ever before using blood.
Patent No. 7175068
Joint research with Professor Hiroshi Kagami of Saitama Medical University.
IMTR003COVID-19 Biomarker for predicting symptoms of pneumonia.
The measurement of the number of immune cells in the blood was found to be effective in predicting the severity of pneumonia in COVID-19.
Patent pending
Joint research with Professor Hiroshi Kagami of Saitama Medical University.
Team
Co-creation
The Immunity Data Platform is being developed with the aim of uncovering "humanity's dormant immune-enhancing assets" from around the world that can eradicate diseases and make humanity healthier by strengthening the "power of immunity". We look forward to co-creating with companies and researchers who wish to provide immune-regulating services and products.
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Drug discovery & development support
Our platform can support you in various stages of drug development, including target discovery, validation, compound verification, and clinical trial optimization.
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Data sharing
If you provide FCS data, WSP data, and medical data, we will build your own immune profiling system leveraging our database and proprietary algorithms.
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Consumer
By quantifying and monitoring the immune status of individuals, we promote health management services that include advice on how to improve daily life against future disease risks.
Areas we partner
We have built up a unique knowledge library and in-depth expertise in various immune cells, mainly T cells. We are looking for partners who can help us solve various health problems by utilizing our Immunity data platform.
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Medical treatment
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Drug discovery
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Diagnostic pharmaceutical
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Cell therapy
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Health care