Personalized Treatment

Personalized treatment aims to tailor medical interventions to individual patient characteristics, improving outcomes and efficiency. Current research heavily utilizes machine learning, including generative models (like GANs and transformers), clustering algorithms, and federated learning, to identify patient subgroups with distinct responses to treatments and predict individual treatment efficacy. This work is crucial for advancing precision medicine, enabling more effective and targeted therapies while addressing challenges like data scarcity and privacy concerns in healthcare.