Future Directions and Challenges in Overcoming Drug Resistance in Cancer

The chapter Future Directions and Challenges in Overcoming Drug Resistance in Cancer explores crucial aspects, primarily focusing on two key topics: biomarkers for the development of effective drugs and the integration of artificial intelligence (AI) and machine learning (ML) in drug development. The identification and validation of biomarkers play a pivotal role in tailoring targeted therapies and enhancing treatment efficacy by addressing drug resistance in cancer. Additionally, the chapter delves into the transformative potential of AI and ML in drug development, emphasizing their role in accelerating the discovery of novel compounds, optimizing drug design, and predicting patient responses. By examining these topics, the chapter provides valuable insights into the evolving landscape of cancer therapeutics, offering a forward-looking perspective on strategies to overcome drug resistance and improve treatment outcomes.