Personalized Drug Treatment
Abhirup Khanna, Sapna K. Jain · 2024
AI-enabled personalized drug treatment has the potential to revolutionize healthcare by tailoring drug therapies for individual patients, taking into account their unique characteristics, genetics, and medical history. The chapter talks about the foundations of AI in healthcare, including an overview of machine learning algorithms, data sources for personalized treatment, and the importance of personalized treatment in modern healthcare. It delves into the area of data collection and analysis process, discussing methods for data pre-processing, feature selection, and model training, as well as the challenges and considerations associated with data analysis in personalized drug treatment. Furthermore, the chapter highlights various case studies in AI-based personalized drug treatment, showcasing examples of how AI has been successfully applied in the treatment of different diseases, such as cancer, cardiovascular diseases, and mental health disorders. The case studies provide insights into the benefits and limitations of personalized drug treatment. Regulatory considerations and ethical and legal bindings associated with the use of personalized drug treatment are also discussed in the chapter. Overall, the chapter serves as a valuable resource for researchers, clinicians, and policymakers interested in the field of personalized medicine and the integration of AI in drug treatment.