Since 2020, aggregated from related topics
Patient-specific models refer to computational models that are created based on an individual patient's physiological data, such as medical images, genetic information, and clinical parameters. These models aim to simulate and predict the unique response of a patient's body to certain treatments or diseases, allowing for personalized healthcare interventions. Patient-specific models have the potential to improve diagnosis, treatment planning, and overall patient outcomes by tailoring medical interventions to the individual characteristics of each patient. They are commonly used in fields such as personalized medicine, medical imaging, and drug development.