Unlocking the Potential of Patient Data

How flok AI Will Change the IEM Landscape

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    Biometrics

    flok AI utilizes cutting-edge biometric technology to track health indicators specific to metabolic disorders, including blood levels, amino acid profiles, and metabolic rate. These biometric measurements provide valuable insights into a patient's metabolic health status and help healthcare providers personalize treatment plans for better outcomes. 

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    Diet

    By tracking food intake and analyzing nutrient content, flok AI helps patients make informed decisions about their diet, leading to improved health outcomes and better management of chronic conditions. flok AI's machine learning algorithms analyze patient dietary patterns to provide insight into nutritional patterns across individuals and disorders.

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    Patient-Reported Outcomes

    Patient-reported outcomes, including symptom severity and quality of life measures can be incorporate into treatment plans, healthcare providers can better understand the patient experience and make more informed decisions about care. flok AI's patient-reported outcome measures also help researchers gain a deeper understanding of disease progression and treatment efficacy. 

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    EMR/EHR Data

    Direct access to electronic medical records (electronic health records) empower the flok AI to understand individuals' health beyond PROs and biometrics, providing a rich longitundinal picture of their health, and interventions. 

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    Example: Seizure Prediction

    Predicted Seizures in those with epilepsy 

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    Example: Heart Rate Variability

    Correlations between heart rate variability and other markers of heath.