AI-based personalized treatment recommendation for cancer patients

Abstract

The combination of artificial intelligence (AI) with personalized cancer treatment has revolutionized oncology by changing how we tackle the complexities of this complex disease. The research describes the AL-based personalized treatment recommendation for cancer patients. This research study explores the potential uses, ramifications, and bright future of artificial intelligence in personalized cancer care. Personalized cancer therapy is at the forefront because of AI's ability to analyze large datasets, including genetic profiles, medical pictures, and treatment outcomes. Artificial Intelligence (AI) provides physicians with a comprehensive grasp of each patient's health, from early diagnosis through image analysis to interpreting the distinct genetic markers of tumors. It's used in precision medicine to expedite diagnosis, help choose treatments, and predict possible reactions. In this research, genomic profiling becomes crucial as AI interprets the genetic complexities of tumors to help choose tailored treatments. Privacy and ethical issues take front stage, highlighting the necessity of responsible data processing and a careful balancing act between innovation and patient information protection. The research determined results with smart PLS software and run smart PLS Algorithm model between them. A pillar that emphasizes the indispensable role of healthcare professionals in the decision-making process is the cooperation between AI and human knowledge. The end objective is still quite apparent as we negotiate this revolutionary terrain: to raise the bar for treatment, enhance patient outcomes, and foster a sense of empowerment among the challenges posed by cancer. AI and personalized cancer care create a picture-perfect future in which customized solutions are provided for every patient's journey, ushering in a new era of resiliency, healing, and hope. AI emerges as a strong friend in this symbiotic dance between compassion and technology, advancing us toward a day when accuracy and empathy will unite to rewrite the history of cancer care.