SOURCE-LINKED INTELLIGENCE
Explainable machine learning identifies candidate shared neuroanatomical features in Alzheimer’s and Parkinson’s via importance inversion transfer
OpenAlex research metadata · article · Sep 22, 2026 · UTC
Scientific Reports · Machine Learning in Healthcare · Libera Università Maria SS. Assunta; Superconducting and other Innovative Materials and Devices Institute; Institute of Cognitive Sciences and Technologies
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- recordType
- paper
- evidenceStatus
- metadata-reported
- region
- Global
Evidence & attribution
Research metadata: OpenAlex (CC0). Original paper rights remain with its publisher.
First collected: 2026-09-22T16:03:50.148Z. This is not the publication date.
Observed changes
AIIC observation times, not verified publisher revision times. Up to eight recent revisions.
2026-09-23T16:13:28.179Z
- summary:
Scientific Reports · Machine Learning in Healthcare → Scientific Reports · Machine Learning in Healthcare · Libera Università Maria SS. Assunta; Superconducting and other Innovative Materials and Devices Institute; Institute of Cognitive Sciences and Technologies
Research metadata
OpenAlex record ↗ · Metadata licensed CC0; paper rights are separate.
- Citations reported by OpenAlex
- 0
- Authors
- Daniele Caligiore; Simone Torsello
- Affiliations
- Libera Università Maria SS. Assunta (IT); Superconducting and other Innovative Materials and Devices Institute (IT); Institute of Cognitive Sciences and Technologies (IT)
- Topic
- Machine Learning in Healthcare
- Venue
- Scientific Reports
- Publication type
- article
- Retraction flag reported by OpenAlex
- Not flagged
Citation count and retraction flag reported by OpenAlex. Citations are not a quality score; affiliation countries are not study locations.