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San Diego-based Yatiri Bio announced what it calls a breakthrough in cancer treatment prediction, reporting 100% concordance between its AI-driven predictions and actual patient outcomes in a blinded study involving Foghorn Therapeutics’ experimental drug FHD-286.
Study Results and Technology
The precision medicine company used its ProteoCharts™ platform to analyze pre-treatment patient samples and predict which patients would respond to the investigational AML treatment. According to the company’s February 10 announcement, every prediction made by their biomarker-guided system matched the actual clinical outcomes observed in the study.
Acute Myeloid Leukemia (AML) is an aggressive blood cancer that affects white blood cells and bone marrow. The disease typically requires rapid treatment decisions, making accurate patient stratification—determining which patients will respond to specific therapies—critically important for treatment success.
Platform and Company Background
Yatiri Bio positions itself as a precision medicine company focused on identifying therapeutically sensitive patient populations through artificial intelligence and proteomic analysis. The ProteoCharts™ platform analyzes protein patterns in patient samples to guide treatment decisions, though the company has not disclosed detailed methodology or the size of the study population in the available information.
In medical research, 100% concordance represents perfect agreement between predicted and actual outcomes, which would be considered exceptionally high for biomarker studies. However, the significance of these results depends heavily on factors such as study size, patient selection criteria, and validation methods that were not detailed in the company’s announcement.
What’s Next
The company describes this as validation of its platform’s breakthrough potential in oncology patient stratification, though further details about study methodology, patient numbers, and next steps for development remain limited in the current disclosure.
Sources: Financialpost
