The Future of Myeloma Care: Personalised Treatment with AI and Wavelet Transform

Healthcare outcomes can only improve by improving diagnosis accuracy and offering individualised treatments for the increasingly prevalent multiple myeloma (MM). Despite significant progress, personalized MM treatment is still lacking. This work introduces a novel approach that combines wavelet transformation and artificial intelligence (AI) to improve forecast accuracy and personalize the MM treatment. The AI model can better guess how people will respond to treatment with the help of wavelet transformations, which let detailed features be extracted from large amounts of biological data, such as genetic and biochemical markers. Together, these techniques optimize treatment planning, which is fantastic for precision medicine and improves outcomes for MM patients.