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Follow-up machine learning analyses for multivariable predictive modeling, integration of metabolomics data with complementary data types (clinical, omics, digital biomarkers, polygenic risk scores, among others), and prediction of further disease outcomes (motor and non-motor scores, comorbidities), which would extend beyond the scope of the current manuscript, are currently in preparation

The authors found that zinc levels in hair samples from breast cancer patients were lower than those in hair samples from a control group

We are also concerned that stratifying levels of payment for APCM services based on practice-level capabilities, rather than patient-level characteristics, could further exacerbate inequities in health systems, including smaller or rural practices who may furnish care to equally complex patients as compared to larger, more established health systems and clinics

Al-Attar AM

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