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Today’s practice counts HLA mismatches and treats them as equally risky, even though evidence shows that some mismatches are well tolerated while others drive rejection. Clinicians lack a reliable tool to tell the difference, so one of the most consequential decisions in medicine is made with a blunt instrument.A note from our founderThe Solution - Better Matches, Better OutcomesImmunomatics is developing AI software that goes beyond counting mismatches, estimating the relative rejection risk of specific donor-recipient incompatibilities before transplantation. Our platform analyzes donor and patient genetic data to produce a rejection-risk score designed to help transplant teams select safer donors, personalize immunosuppression to each patient’s risk, and monitor for rejection more effectively.A rejection-risk score clinicians can act onThe approach is built to fit the clinic, not replace it. Risk analysis uses existing transplant workflow data.Traction \u0026amp; credibilityBeyond the grant, the team is advancing discussions with transplant centers and building the data partnerships needed to validate the model against real-world outcomes. The NIH award is a meaningful external signal: independent reviewers judged both the science and the team worth funding.Market opportunityReasons to investAs with any early-stage healthcare company, this opportunity is subject to scientific, execution, regulatory, and commercialization risks.RoadmapThe ask \u0026amp; use of fundsImmunomatics intends to raise $500,000 in this offering as a Simple Agreement for Future Equity (SAFE), with a 20% discount and $8M post-money valuation cap. 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