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Understanding the trajectory of diagnostics innovation requires looking beyond current technological capabilities to assess which advances will achieve clinical validation, regulatory approval, and sustainable reimbursement by 2035. The convergence of genomics, proteomics, metabolomics, and artificial intelligence is creating unprecedented opportunities for early disease detection and precision medicine, yet realizing this potential depends on overcoming significant challenges in clinical evidence generation, cost reduction, and integration into existing healthcare workflows.
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