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Machine-learning-based prediction models that integrate clinical characteristics, laboratory parameters, and multi-omic data have demonstrated superior performance in forecasting clinical outcomes such as disease relapse, therapeutic response, and hospitalization risk

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Editorial: precision medicine approaches for heterogeneous conditions such as autism spectrum disorders (the need for a biomarker exploration phase in clinical trials - phase 2m)

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By restoring this critical energy pathway and repairing the carnitine acetyltransferase enzyme, it helps to resolve the cellular energy crisis that drives profound exhaustion and post-exertional malaise