Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture discusses the importance of elucidating each person's genetic make-up for personalized medicine, focusing on DNA-based risk assessment for diseases like breast cancer, identification of molecular signatures for disease diagnosis, and DNA-guided therapy and dose selection. Examples include the impact of genetic predisposition on disease prognosis and drug treatment, the genomic diversity of cancer, and the influence of genetic polymorphisms on drug efficacy. The shift towards tailored treatments based on individual genetics is highlighted, emphasizing the potential for more effective and personalized diagnostics and therapies.