Health Indicator

Health indicators are quantitative measures reflecting the condition of a system, whether a machine or a human body, aiming to enable early fault detection and predictive maintenance or personalized healthcare. Current research focuses on developing robust and explainable methods for deriving these indicators using diverse data sources, including sensor readings, electronic health records, and even gait videos, employing techniques like diffusion models, large language models (LLMs), and variational autoencoders. These advancements are significant for improving the reliability and efficiency of industrial processes and for advancing personalized medicine through more accurate and timely health assessments.