The Digital Medicine Laboratory is the central contact point for all practical courses and experiments in the field of bio- and medical informatics. It is therefore primarily designed for use by the life science degree programmes at THI:

• Bio- and Medical Informatics (Faculty of Computer Science)
• Biomedical Engineering (Faculty of Electrical Engineering)
• Biomechanics (Faculty of Mechanical Engineering)
• Life Science Management (Business School)

It supports practical training in the various disciplines of (digital) biology and medicine and aims to provide students with skills in the following areas:

• Integration and analysis of complex biomedical data
• Personalisation of medicine
• Digitalisation of the healthcare infrastructure

Goals and idea

The Digital Medicine Laboratory aims to be a meeting point for all THI students with an interest in the life sciences and healthcare, and to accompany them from the basic subjects of biology and medicine through biomedical image and data analysis to the systems biology modelling of molecular processes. It aims to offer lecturers a low-threshold opportunity to teach practical content through real or virtual experiments.

The lab also provides insights into the digital transformation of the healthcare system. It offers insights into the digital infrastructure of hospital information systems and allows research into their safety-critical aspects using various demonstrators.

Applications

Practical courses in basic biology subjects (virtual experiments):

• Microbiology and genetics
• Anatomy and physiology
• Biochemistry and pharmacology

Practicals on biomedical data analysis (modelling and simulation):

• Biostatistics & Biometrics
• Bioinformatics & Systems Biology
• Medical data analysis
• Medical applications of artificial intelligence

Internships on digitalisation (demonstrators):

• Medical informatics
• telemedicine
• Digital transformation in the healthcare sector

Internships on medical security

• Simulation of realistic attacks on AI-based medical systems
• Testing the resilience of medical AI to manipulated or erroneous inputs
• Investigation of possible vulnerabilities in medical data and AI models

Courses

• Practical course Programming 1 (BMI)
• Practical course Bioinformatics 1 (BMI)
• Practical course Methods of Artificial Intelligence (BMI)
• Practical course Modelling and Simulation of Biomedical Systems (BMI)
• Practical course Image Processing in Medicine (BMI)
• Lecture Microbiology and Genetics (BMI)
• Lecture Biochemistry and Pharmacology (BMI)