Biomarkers / Hair

Biomarker-based nutrition has demonstrated superior efficacy compared to population-level approaches in improving health outcomes. Biofrequency analysis, a non-invasive technique based on the detection of electromagnetic vibrational patterns in hair follicles, offers a promising avenue for rapid functional assessment of nutritional status and epigenetic signals without reliance on blood or urine sampling. First, to evaluate the effect of a 90-day biofrequency-guided nutritional intervention on functional epigenetic status, as reflected in changes in the optimization report generated by the S-Drive system; second, to assess changes in adherence to the Mediterranean diet, anthropometric indicators, movement behaviors, and psychological well-being. Methods: In this randomized controlled trial, adults from a Sport Team from Region of Murcia (Spain) will be allocated to an experimental group receiving individualized lifestyle recommendations based on S-Drive biofrequency analysis and to a control group with no intervention. Participants in the experimental arm will apply tailored dietary guidance over 90 days. Conclusion: This study will generate foundational evidence on the utility of biofrequency technology for precision nutrition. If positive, the findings may inform scalable, low-risk strategies for personalized dietary interventions in preventive and community health settings.

The primary aim of the NITOS study is to investigate the potential rapid antisuicidal effects of N2O in the transdiagnostic treatment of suicidal ideation. On day 1, patients will receive either nitrous oxide (50% N2O balanced with oxygen) or placebo (50% oxygen balanced with air). Seven days after the first inhalation, a second inhalation will be performed. All patients will receive N2O at least once during this trial. While the first inhalation will be double-blind, only the patients but not the raters will be blinded to the second inhalation (day 8). For mechanism of action and prediction, a nested biomarker substudy will employ multimodal techniques including analysis of hair and blood samples, and EEG.