Precision medicine is an advancement of the traditional medication system.
It has taken a drastic change in the healthcare sector. This arena has proved to be most
beneficial in the treatment related to oncology, but besides that, precision medicine is
useful in treating other diseases too, such as various infectious diseases, obesity,
chronic diseases, and cardiovascular diseases. This concept of precision medicine has
outperformed during the COVID-19 pandemic by evolving several remedies and
adjudicating the effectiveness of diseases. While implementing the concept, there are
many challenges faced. In this book chapter, a comprehension of all the challenges
faced and their proposed solutions during the practice of precision medicine is
discussed. In the latter part, various best practices followed while implementing
precision medicine are also elaborated. Integration of technologies such as artificial
intelligence, machine learning, and data science during application is also discovered.
Keywords: AI, Challenges, Data science, ML, Precision medicine, Practices.
