Single point measurements in endocrinology are often very difficult to interpret. This is because hormone secretion is dynamic with variability across the day, within and between individuals. Diagnosis and management of endocrine disease could be greatly enhanced by the ability to easily capture and understand the dynamic information encoded in daily hormone profiles. Through the ULTRADIAN Dynamic Hormone Diagnostics trial (NCT02934399) we have developed a method of ‘at home’ high frequency, ambulatory sampling of multiple hormones over 24-hours, without the need for blood. Using features identified in the dynamic data, mathematical algorithms can be used to discriminate healthy from pathological states. Examples of the technique used in patients with endocrine disease (Cushing’s and primary aldosteronism) will be presented. Integration of such ambulatory dynamic hormone data with outputs from wearable sensors is now a focus of my research which I hope will lead to a greater understanding of adaptive human physiology and the opportunity to provide more personal and individualised care.