A new era of personalized treatment and sophisticated illness monitoring has been brought about by the convergence of artificial intelligence (AI) and healthcare. This chapter explores how artificial intelligence (AI) is revolutionizing the disciplines of disease monitoring, genomic medicine, and precision oncology. Artificial Intelligence is transforming the way we approach, diagnose, and treat diseases by combining state-of-the-art technologies with data-driven insights. The use of AI in this study plays a key role in precision oncology by interpreting the genetic profile of tumors, which enables accurate identification of driver mutations, tailored therapy suggestions, and the forecasting of therapeutic responses. The study further extends with the use of AI in genomic medicine, which focuses on understanding diseases at the molecular level, to evaluate large genomic datasets and find new biomarkers. Artificial intelligence and machine learning methods are used for illness monitoring; therefore, its effects go beyond diagnosis and treatment. Through cutting-edge techniques like liquid biopsy and wearable technology, healthcare practitioners can use artificial intelligence to monitor the course of diseases, assess the effectiveness of therapies, and identify diseases early on. This chapter examines the principles, uses, difficulties, and moral issues surrounding artificial intelligence in these domains, offering a peek into the completely personalized and data-driven healthcare of the future.

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Artificial Intelligence in Precision Oncology, Genomic Medicine, and Disease Monitoring

  • Ali Mohammed Hendi,
  • Mohammad Alamgir Hossain,
  • Suresh Limkar,
  • Naif Ali Majrashi

摘要

A new era of personalized treatment and sophisticated illness monitoring has been brought about by the convergence of artificial intelligence (AI) and healthcare. This chapter explores how artificial intelligence (AI) is revolutionizing the disciplines of disease monitoring, genomic medicine, and precision oncology. Artificial Intelligence is transforming the way we approach, diagnose, and treat diseases by combining state-of-the-art technologies with data-driven insights. The use of AI in this study plays a key role in precision oncology by interpreting the genetic profile of tumors, which enables accurate identification of driver mutations, tailored therapy suggestions, and the forecasting of therapeutic responses. The study further extends with the use of AI in genomic medicine, which focuses on understanding diseases at the molecular level, to evaluate large genomic datasets and find new biomarkers. Artificial intelligence and machine learning methods are used for illness monitoring; therefore, its effects go beyond diagnosis and treatment. Through cutting-edge techniques like liquid biopsy and wearable technology, healthcare practitioners can use artificial intelligence to monitor the course of diseases, assess the effectiveness of therapies, and identify diseases early on. This chapter examines the principles, uses, difficulties, and moral issues surrounding artificial intelligence in these domains, offering a peek into the completely personalized and data-driven healthcare of the future.