Max Wühr

Max Wühr is a Research Group Leader at the German Center for Vertigo and Balance Disorders, part of the Medical Faculty at Ludwig-Maximilians-Universität München (LMU). His work bridges clinical neurology and advanced computational methods, focusing on the diagnosis and treatment of gait and balance disorders.

Research Interests: His research lies at the intersection of sensorimotor control, vestibular physiology, and artificial intelligence. He investigates how sensory signals are integrated for balance and how disruptions lead to mobility impairments. A key focus is the development of computer-aided diagnosis (CADx) systems using deep learning for pose estimation and clinical decision support. He also explores non-invasive brain stimulation and wearable vestibular prostheses to restore balance function.

Research Methods: His lab employs a multidisciplinary toolkit including gait analysis, posturography, video-oculography, EEG, galvanic vestibular stimulation, 3D-motion platforms, and virtual reality (VR). He integrates off-laboratory mobility monitoring with AI to enable personalized fall risk prediction and disease monitoring.

Publication Trends: His recent publications reveal a strong trajectory in translational neuroscience, with consistent contributions to high-impact neurology journals. The work emphasizes biomarker development, neurophysiological mechanisms of balance, and innovative interventions using noise-based stimulation and AI-driven diagnostics.

• Scientific Awards: No awards listed in the provided text.

Advising and Grants: While no specific students or grant funding are mentioned, his role as a Research Group Leader implies leadership in mentoring researchers and securing competitive funding for projects in neurorehabilitation and AI in medicine.

Labs and Teams: He leads a research group focused on Dynamic Stand and Gait Control within the German Center for Vertigo and Balance Disorders. The team is dedicated to developing next-generation tools for diagnosing and treating balance impairments through the integration of sensing technology and applied AI.