Cancer prognosis is critical to inform treatment planning and inform patients about their probable outcomes. The session "Cancer Prognosis" addresses the determinants of disease course, survival, and response to treatment and provides information for patients and clinicians.".
Prognosis is based on various factors such as cancer type, stage at diagnosis, tumor biology, genetic mutation, and overall health of the patient. The advancements in molecular profiling, biomarker analysis, and imaging technologies are allowing for more precise predictions of disease course and treatment response. Personalized strategies assist clinicians in customizing therapy to optimize outcomes and effectively manage risks.
It also discusses predictive models, risk assessment tools, and the use of emerging technologies like artificial intelligence in making patient outcome predictions. Knowing prognosis not only informs treatment planning but also aids in counseling patients, establishing realistic expectations, and planning follow-up care.
Participants will learn about the new approaches for evaluating prognosis, merging clinical and molecular information, and translating these findings into multidisciplinary cancer management. The session highlights the significance of proper prognosis for tailoring treatment plans, streamlining patient care, and enhancing overall quality of life for cancer patients.