VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.

395-0103-00L 2 Credits NDS , WBZ D-HEST
You're viewing possible stale or outdated data. Please check the latest semester for more up-to-date information.

Precision Medicine and AI

Lecturers & Examiners: Prof. Dr. Jörg Goldhahn, Dr. Salvatore Modica, Dr. Alessandra Fontecedro-Curioni, Dr. Adhideb Ghosh, Kelly Ormond, Dr. Dietmar Schaffarczyk
VVZ CR n/a

Last Updated: 2026-02-05 16:29:19

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
NDS , WBZ
Frequency
Yearly recurring

Examination

Type
ungraded semester performance

Registration & Places

Priority: Registration for the course unit is only possible for the primary target group

Course Components

Type Title Time & Place Hours
lecture with exercise Precision Medicine and AI
  • 12.12 Date 08:00-18:00 (ON LI NE)
  • 17.12 Date 08:00-18:00 (ON LI NE)
  • 15.01 Date 08:15-18:00 (ML J 34.3)
  • 16.01 Date 08:15-18:00 (ML J 34.3)
  • 17.01 Date 08:15-18:00 (ML J 34.3)
  • 23.01 Date 08:00-18:00 (ON LI NE)
42 h semesterly

Offered In