aceCost-Effectiveness of AI-Powered Decentralized Production for Advanced Therapies in the Hospital-Generated Chimeric Antigen Receptor T-Cell Therapy for Multiple Myeloma From a German Hospital Perspective: Early Health Technology Assessment Study
Background: Although effective, current chimeric antigen receptor T-cell (CAR-T) production methods-centralized, manual, and complex-are cost-intensive, time-consuming, and prone to variability. AIDPATH (AI-Powered Decentralized Production for Advanced Therapies in the Hospital) proposes a decentralized, automated alternative that integrates patient-specific data; optimizes resource use; and potentially improves cell viability, manufacturing efficiency, and patient outcomes. Objective: The aim of this study was…
In a partitioned survival model, the AI-supported AIDPATH platform came out dominant over both cilta-cel and standard of care for triple-class refractory multiple myeloma from the German hospital perspective.
AIDPATH parameters were estimated rather than observed because the platform is still in development, so the dominance finding is a modeled projection and the authors say further data are needed.
Evidence
- Peer-reviewedJMIR Cancer2026-10-13
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Truvace Impact Record TRV-2026-1372, v1: “Cost-Effectiveness of AI-Powered Decentralized Production for Advanced Therapies in the Hospital-Generated Chimeric Antigen Receptor T-Cell Therapy for Multiple Myeloma From a German Hospital Perspective: Early Health Technology Assessment Study.” Truvace, 2026-10-14. /record/TRV-2026-1372 (accessed at citation time). sha256 f77ac83f77294085…
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