The company is developing a model to link wearable-derived signals with metabolic and recovery patterns, though validation remains at an early stage. Singapore-based health tech startup Signsbeat is developing a wearable-derived model to link physiological signals with metabolic stability, and is now testing whether such data can move beyond passive tracking to more actionable insights. Its approach centres on interpreting wearable data in the context of broader physiological responses, rather than simply reporting metrics such as sleep or recovery scores. "CGM [continuous glucose monitoring] tells you what your glucose is doing. It does not tell you why," founder Edwan Chiam…
Singapore-based health tech startup Signsbeat is developing a wearable-derived model to link physiological signals with metabolic stability, and is now testing whether such data can move beyond passive tracking to more actionable insights.
Its approach centres on interpreting wearable data in the context of broader physiological responses, rather than simply reporting metrics such as sleep or recovery scores.
"CGM [continuous glucose monitoring] tells you what your glucose is doing. It does not tell you why," founder Edwan Chiam said.
US Pharma Marketing