Engineering Personalized Medicine: Customizing Treatments                                                    

Abdullahi Abdirahim Bashiir

Faculty of Engineering Kampala International University Uganda

ABSTRACT

Personalized medicine represents a transformative approach in healthcare, emphasizing customized treatments based on individual genetic, environmental, and lifestyle factors. As advances in genomics, bioinformatics, and digital health tools continue, personalized medicine enables tailored treatment plans, improving patient outcomes while minimizing adverse effects. This paper examines the evolution of personalized medicine, examining key technologies such as gene sequencing, data analytics, and machine learning, which drive precision in clinical applications. We discuss the potential and challenges associated with implementing personalized medicine, including ethical considerations around data privacy, regulatory barriers, and socio-economic disparities. Through real-world case studies in oncology and pharmacogenomics, we highlight successes and limitations, underscoring the importance of interdisciplinary collaboration. The future of personalized medicine promises further integration with AI, creating a proactive healthcare framework but necessitates careful ethical and regulatory alignment.

Keywords: Personalized medicine, genomics, biomarkers, pharmacogenomics, data analytics, artificial intelligence.

CITE AS: Abdullahi Abdirahim Bashiir. (2024). Engineering Personalized Medicine: Customizing Treatments. Research Output Journal of Engineering and Scientific Research, 3(3): 23-27.