A cancer diagnosis is terrifying, and treatment choices are complex, with profound impacts on finances and quality of life. There are usually several treatment options presented to patients, depending on the patient’s age, other medical conditions, and the severity of the disease. All treatments are associated with their benefits and tradeoffs. As a result, physicians are faced with the challenge of foretelling the future and recommending appropriate treatments to each patient. Leaving patients to make difficult and emotional choices about survival, treatment, quality of life, and cost. Every patient is unique, yet our current system comprises treatment protocols based on research conducted on a select group of participants. Existing clinical standards do not adequately address questions like, “What is the right treatment for me, given my risk factors?” As a result, patients are often recommended treatments with no clinical benefit. The impact of these unnecessary treatments and procedures is a high cost to the patients and the system. Consequently, a critical goal in healthcare is to create strategies to stop treating patients with therapies that generate little or no clinical benefit and focus on determining which treatment is right for each patient. Personalization is the future of healthcare. Outcomes