This course on personalised medicine introduces the concept of tailoring medical treatment to the individual characteristics of each patient. It is based on the idea that every person is biologically unique, and therefore medical care should be customized rather than standardized.

The course is inspired by the work and clinical perspective of Martin Elliott, who emphasizes patient-centered approaches in modern healthcare. It explains how advances in genetics, molecular biology, and clinical data analysis are transforming the way diseases are diagnosed and treated.

A key focus is on how doctors use genetic information, biomarkers, and patient history to design more precise and effective treatments. This includes understanding how different individuals respond differently to the same medication, and how therapy can be optimized to improve outcomes and reduce side effects.

The course also explores the role of technology such as genomic sequencing, artificial intelligence, and big data in supporting personalized treatment decisions. Applications include cancer therapy, rare genetic diseases, cardiovascular conditions, and chronic illnesses.

Ethical considerations such as patient privacy, data security, and equal access to advanced treatments are also discussed.

By the end of the course, learners will understand how personalised medicine is reshaping modern healthcare into a more accurate, predictive, and patient-focused system.