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Precision Medicine and AI
Last Updated: 2026-06-03 00:07:33
Abstract
Tailored medical treatments based on disease characteristics but also on patients’ individual features is becoming clinical routine. Personalised medicine utilises genetic, environmental and lifestyle factors to optimise approaches in healthcare. The use of AI will be essential to enhance personalised medicine to improve patients’ journey from diagnosis to treatment and the outcome.
Objective
After taking this course, participants will be able to - Understand genomics and it implications in healthcare - Interpreting genetic testing and the correlated treatment plans - Know the available AI technologies applied to healthcare including concepts of machine learning, natural language processing - Comprehend the use of AI in diagnostics and treatment planning and follow up - Understand how AI can enhance the data analysis and prediction - Make real examples of AI applications in healthcare - Define challenges and limits to data of use of AI in healthcare
Content
The module “Precision Medicine and AI” provides knowledge on personalised medicine and explains its significance in modern healthcare. It identifies how genetics can determine disease diagnosis and treatment responses, describes the various AI technologies applicable in healthcare, dissects the ethical considerations and challenges associated with AI, and provides clinical examples of the use of personalised medicine and AI. The topics are - Screening and diagnosis in precision medicine - Pharmacogenomics in precision medicine - Precision oncology - Multiomics approaches in precision medicine - Machine learning in precision medicine - Radiomics - Precision oncology in clinical practice - AI concepts - AI in digital pathology - AI in radiology - AI for clinical data
General Information
- Language
- English
- Levels
- WBZ , NDS
- Frequency
- Yearly recurring
Examination
- Type
- ungraded semester performance
Registration & Places
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise | Precision Medicine and AI | No time listed | 40 h semesterly |