Advancing Neuroscience with Personalised Brain Models

These models are generative and adaptive, using a person's brain imaging data to tailor interventions for conditions like epilepsy, Alzheimer's, multiple sclerosis, Parkinson's, psychiatric disorders and ageing. The approach uses machine learning and artificial intelligence for parameter estimation, integrating physiological and pathophysiological data to personalise treatments. The paper also explores challenges and future directions in the field.

For more details, consult the article by Wang & Triebkorn et al. here.