AI's Role in Personalized Medicine

Personalized medicine, the adaptation of medical treatment to a patient's unique genetic makeup, requires a complex series of procedures. These processes encompass genetic profiling, biomarker discovery, genomic analysis, patient-centered drug development, precise gene editing, treatment response monitoring, and therapeutic regimen modification. Because they are time-intensive, they face significant hurdles, leaving room for human-introduced error. The findings suggest that artificial intelligence has progressed in recent years and now dominates numerous steps while saving time and money. From documenting a patient's genetic information to influencing crucial treatment decisions, AI in healthcare is paving the way for a promising future for patients. Streamlining AI provides ongoing support and enhancement to conventional methodologies despite its limitations. This review highlights the potential of artificial intelligence in personalized medicine, demonstrating its significant impact on improving patient outcomes and addressing the limitations that must be considered.