The Data Science and Machine Learning Team at Liom is responsible for developing advanced algorithms and analytical models that enable real-time glucose monitoring and insights. By leveraging vast amounts of physiological data, they strive to enhance the accuracy and efficacy of the non-invasive glucose measurement technology. The team collaborates on innovative machine learning research, refining data processing techniques, and ensuring that health insights are accessible and actionable for users—ultimately empowering individuals to prevent disease through better awareness of their glucose metabolism.