Researchers are exploring non-invasive methods for detecting jaundice, including the use of spectral-band expansion from rgb images and direct hyperspectral images. Artificial intelligence, specifically a 1d convolutional neural network, is also being investigated for predicting bilirubin levels in neonatal jaundice. The development of these technologies is part of a broader effort to advance biosensing and biointerface engineering in healthcare.