
TRex Bio
A discovery stage biotechnology company leveraging cutting edge computational biology tools, a focus on human tissue, and expertise in immunobiology to develop revolutionary therapeutics for cancer and inflammatory diseases.
Date | Investors | Amount | Round |
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N/A | €0.0 | round | |
investor investor investor investor investor | €0.0 | round | |
investor investor investor investor investor investor investor | €0.0 Valuation: €0.0 | round | |
* | $84.0m | Series B | |
Total Funding | 000k |
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TRexBio is a biotech startup that operates in the field of immune-mediated diseases. The company's primary focus is on modifying diseases at the tissue level to restore tissue homeostasis. They achieve this by leveraging a combination of modern sequencing and computational tools, along with human assay systems, to create innovative therapeutics.
TRexBio serves a market that includes patients suffering from immune-mediated diseases. The company's business model revolves around the development of tissue Treg-focused therapeutics, which are designed to treat these diseases by targeting the inflammatory process and restoring tissue balance.
The company differentiates itself through its unique approach, which combines a deep understanding of human tissue biology with expertise in machine learning and high throughput "-omics". This allows TRexBio to generate a detailed picture of human tissue immunobiology and the pathways that drive disease.
TRexBio also emphasizes a multidisciplinary approach, combining the latest sequencing and computational tools with translational immunology and traditional drug discovery techniques. This approach is underpinned by a diverse team that values differences in backgrounds, opinions, and experiences.
The company generates revenue through the development and sale of its therapeutics. As these therapeutics are designed to treat a wide range of immune-mediated diseases, the potential market for TRexBio's products is substantial.
Keywords: Biotech, Immune-mediated diseases, Tissue Treg-focused therapeutics, Sequencing tools, Computational tools, Machine learning, High throughput "-omics", Translational immunology, Drug discovery, Diverse team.