Personalized Healthcare

Personalized healthcare aims to tailor medical interventions and health management to individual patient characteristics, improving outcomes and efficiency. Current research heavily utilizes artificial intelligence, particularly machine learning algorithms like gradient boosting and neural networks (including LLMs and graph neural networks), to analyze diverse data sources such as wearable sensor data, electronic health records, and medical images, enabling personalized diagnoses, treatment recommendations, and health behavior nudges. This rapidly evolving field holds significant promise for improving healthcare delivery, enhancing patient engagement, and addressing critical challenges in data privacy and security.