Optimization of therapy is essential in oncology to optimize the efficacy of treatment while reducing side effects and enhancing patient quality of life. The session Therapy Optimization" is directed towards the optimization of cancer treatment by strategies to individualize cancer therapies, optimize dosing, and determine the best therapeutic combinations per patient.
Personalized strategies are at the heart of optimizing therapy. Through taking into account tumor genetics, biomarker profiles, patient condition, and previous treatment, clinicians can tailor therapies to gain improved results. Sophisticated technologies like pharmacogenomics, predictive modeling, and real-time monitoring inform these choices and point towards patients most likely to be helped by a particular intervention.
This session also discusses combination therapies, adaptive dosing schedules, and supportive care interventions to increase treatment tolerance and response. New technologies, such as artificial intelligence and machine learning, are increasingly employed to analyze patient information, forecast responses, and optimize treatment regimens.
Participants will learn about evidence-based methods, clinical decision support tools, and cutting-edge strategies for optimization of therapy in cancer treatment. This session highlights the power of a high-precision, data-driven, and patient-centric approach for better treatment efficacy, diminished toxicity, and ultimately survival and quality of life of patients with cancer globally.
Welcome to the Cancer and Oncology Conference 2026, where global researchers, clinicians, and academics meet to share advances in cancer biology, precision medicine, diagnostics, therapies, and global solutions for patient care.
