Michael Stivaktakis is a M.Sc. graduate in Industrial Engineering from the Technical University of Darmstadt, specializing in Machine Learning. In collaboration with Merck Healthcare, his research explores how machine learning and quantum computing can be leveraged to analyze vocal biomarkers for quality of life assessment. He holds a strong background in electrical engineering and information technology and is passionate about applying AI and quantum machine learning to address real-world challenges in healthcare. His goal is to develop innovative solutions that make a real difference in people's lives.
-Quality of life is a complex, multidimensional concept that is difficult to measure continuously using conventional methods.
-Voice biomarkers offer a promising alternative, as voice production is highly complex and sensitive to changes in physical and mental health.
-A machine learning model was developed to analyze voice characteristics and objectively assess quality of life.
-Due to the complex data structure, a quantum-based machine learning model was also investigated to capture deeper patterns.
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