Rakta - Smart
Uses historical usage patterns, seasonal data, and local health trends to predict blood type demand, reducing wastage by up to 40%.
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The most anticipated application is non-invasive glucose monitoring. Millions of diabetics endure multiple finger pricks daily. A wearable that measures interstitial glucose levels optically would be transformative. Early prototypes claim accuracy levels approaching 90% of traditional glucometers, with the advantage of continuous, painless updates every minute. Uses historical usage patterns, seasonal data, and local
Integration into smartwatches from major tech companies. Improved signal processing and AI calibration reduce the need for finger-stick calibration. Regulatory approval for "trend tracking" (e.g., "Your glucose is trending 20% higher than your baseline") rather than absolute numbers. Millions of diabetics endure multiple finger pricks daily
When a specific wavelength of light is shone through the skin and into a capillary bed (like the fingertip or wrist), different molecules in the blood absorb and scatter light differently. For example:
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