Traditional methods for monitoring bilirubin levels in newborn babies involves painful blood sampling which suffers from multiple long term consequences like infection at the sampling site, osteomyelitis (though in rare cases), blood loss, etc.

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Disparities in neonatal mortality rates between different racial groups highlight the impact of color bias in current medical devices. While the mortality rate for white neonates is 3.04 per 1000 births, it rises to 7.16 for black neonates

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Our method measures bilirubin by passing the visible spectrum through fingernails, making it unaffected by the melanin concentration in skin. Thus, our final machine learning model is able to outperform state-of-the-art measurement devices.

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Additionally, current non-invasive devices are impacted by external light noise, whereas Luminovah has the upper hand due to its unique hardware design that cancels out external light noise.

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