This study evaluated the potential of 3D-NLS bio-resonance feedback diagnostics for early detection of subclinical hypothyroidism in 1,200 asymptomatic adults. Participants were classified using three spectral-entropy parameters: Fleindler’s Index, Entropy Index, and Noise/Information Index. Individuals identified as abnormal by 3D-NLS showed significantly higher rates of thyroid ultrasound abnormalities and positive anti-TPO antibodies compared with controls. The findings suggested that spectral-entropy markers may detect thyroid dysfunction before clear changes appear in standard laboratory tests such as TSH and T4. The authors reported that 3D-NLS provided both structural and functional assessment of the thyroid gland during screening. They concluded that 3D-NLS bio-resonance feedback technology could be a useful tool for identifying individuals at risk of developing hypothyroidism at an early stage.

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