Daniele Caligiore

Explainable machine learning identifies candidate shared neuroanatomical features in Alzheimer’s and Parkinson’s via importance inversion transfer

Despite significant neurobiological and pathological overlaps, Alzheimer’s and Parkinson’s diseases–the primary threats to healthy aging–are still managed as distinct clinical entities. Standard machine learning exacerbates this diagnostic fragmentation by prioritizing divergent...