Clinical prediction is a research area that focuses on developing and testing models or algorithms to predict clinical outcomes in patients. These predictions can help clinicians make more informed decisions about treatment options, patient care, and healthcare resource allocation. Clinical prediction models typically use a combination of patient demographics, medical history, laboratory test results, imaging findings, and other relevant data to generate a risk score or probability for a specific outcome, such as disease progression, response to treatment, or mortality. These models can assist healthcare providers in identifying high-risk patients, guiding personalized treatment plans, and improving patient outcomes.