The integration of artificial intelligence (AI) in cancer treatment is also improving the precision of radiotherapy and chemotherapy. AI algorithms can analyze medical images with high accuracy, helping to tailor radiation doses to the specific dimensions of a tumor while sparing adjacent healthy tissues. Additionally, AI is being used to predict how individual patients will respond to various therapies, allowing for more personalized treatment plans.
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Nutritional genomics is gaining traction as a complementary approach in cancer therapy. Understanding how diet interacts with the genome to influence cancer risk and treatment efficacy can lead to personalized nutrition plans that support the effectiveness of other treatments. Researchers are investigating specific dietary components that might inhibit cancer growth or enhance the efficacy of chemotherapy and radiation therapy.
Lastly, the field is moving towards a more holistic approach in patient care, integrating psychological and social support into cancer treatment protocols. The recognition of the impact of mental health on treatment outcomes and overall quality of life has led to the development of comprehensive care models that address the psychological as well as physical aspects of cancer treatment.
