TUM Neurotechnology Research Alliance
Translation and responsibility
Neurotechnology affects autonomy, communication, and physical agency. Clinical responsibility, neuroethics, data protection, and regulation guide development from the outset.
01 Clinical translation: From the scientific question to clinical testing
The development of neurotechnological systems begins with a clearly defined clinical question. A technical method is measured by what it means for safety, medical indication, everyday usability, and the possible benefit for patients.
The translational pipeline connects functional mapping, implantation and recording, neural decoding, technical assistance, and clinical evaluation.
02 Patient orientation: Patients as the starting point
Research questions arise from the concrete limitations and needs of people with neurological diseases or injuries. Alongside technical performance figures, safety, burden, comprehensibility, self-determination, and quality of life therefore count as well.
Patient involvement and user-centered development are to become a fixed part of trial planning, system design, and evaluation, step by step.
03 Academic responsibility: Independent scientific and clinical leadership
The alliance works with a range of academic and industrial partners. Scientific priorities, clinical decisions, data interpretation, and publication remain under academic responsibility.
Collaborations are set up so that roles, interests, and decision-making paths remain transparent. There is expressly no tie to a single technology supplier or funding route.
04 Neuroethics and neurorights: Ethical questions as part of the research
Neural data allow conclusions about intentions, perception, and cognitive processes, and implantable systems can change autonomy, identity and scope for action. This raises questions of informed consent, fairness, accessibility, long-term responsibility, and the protection of mental privacy.
The ethical guidance follows international recommendations for responsible neurotechnology and the further development of neurorights law.
05 Data protection and data governance: Processing sensitive neural data responsibly
Neural and clinical data are processed in accordance with the applicable data protection law and institutional requirements. Access rights, purpose limitation, data security, and traceability are defined during the planning phase.
Where possible, decentralized and energy-efficient processing approaches are investigated that analyze sensitive signals directly on the device or within controlled infrastructures.
06 Regulation and clinical trials: Development within defined standards
Implantable and neuroassistive systems are subject to high medical and regulatory requirements. Medical device law, risk management, software life cycles, usability, cybersecurity, and good clinical practice are therefore taken into account during development.
Specific regulatory details are presented on a per-project basis and adapted to the respective stage of development.
Academic responsibility: Neuroethics within the alliance
The ethical, legal and regulatory axis is held by Prof. Marcello Ienca, Chair of Ethics of AI and Neuroscience, and is embedded in all four research areas.
From the publication
The figure maps the ethical and technical requirements for clinical trials of implantable neural prostheses. It connects subjective experience and embodiment, privacy and security, bias and interpretability of the AI in use, manufacturer responsibility, and the design of sham stimulation controls.
Figure 1 from Ienca M, Valle G, Raspopovic S. The Lancet Digital Health 2025;7:e216–e224. Open the article
Do you have questions about ethics, governance, or clinical translation?
The responsible members of the alliance are available for scientific inquiries on neuroethics, regulation, data protection, and responsible innovation.