Interdisciplinary Neuroscience
- Neurocardiology
- Neurogastroenterology
- Neuropsychiatry and Mental Health
- Neuroendocrinology
- Neuro-Ophthalmology
- Neuro-Oncology
- Neuroethics and Legal Implications
Interdisciplinary Neuroscience bridges multiple scientific fields to advance our understanding of the nervous system, integrating expertise from neurology, psychology, genetics, bioengineering, artificial intelligence (AI), computational neuroscience, and cognitive science. This session will explore how collaboration across disciplines is driving breakthroughs in brain research, diagnostics, therapeutics, and neurotechnology development. Topics will include neuroengineering, neuroinformatics, brain-computer interfaces (BCI), neuroimaging advancements, and computational modeling of neural networks to improve the diagnosis and treatment of neurological and psychiatric disorders.
A key focus will be on the convergence of neuroscience with AI, machine learning, nanotechnology, and biomedical engineering, leading to innovations in personalized medicine, neuroprosthetics, neuromodulation therapies, and brain mapping. Discussions will also highlight the role of systems neuroscience, neuroethics, and translational research in bridging the gap between laboratory discoveries and clinical applications. By bringing together neuroscientists, clinicians, data scientists, engineers, and cognitive researchers, this session aims to foster interdisciplinary collaboration, accelerate scientific progress, and enhance the future of neurology and neuroscience.
