Mechanism-aware and multimodal AI: beyond model-agnostic interpretation.
imaging data
mechanism-aware AI
metabolic modelling
multi-omics
multimodal integration
Journal
Trends in cell biology
ISSN: 1879-3088
Titre abrégé: Trends Cell Biol
Pays: England
ID NLM: 9200566
Informations de publication
Date de publication:
11 Dec 2023
11 Dec 2023
Historique:
received:
24
07
2023
revised:
03
11
2023
accepted:
07
11
2023
medline:
13
12
2023
pubmed:
13
12
2023
entrez:
13
12
2023
Statut:
aheadofprint
Résumé
Artificial intelligence (AI) is widely used for exploiting multimodal biomedical data, with increasingly accurate predictions and model-agnostic interpretations, which are however also agnostic to biological mechanisms. Combining metabolic modelling, 'omics, and imaging data via multimodal AI can generate predictions that can be interpreted mechanistically and transparently, therefore with significantly higher therapeutic potential.
Identifiants
pubmed: 38087709
pii: S0962-8924(23)00235-0
doi: 10.1016/j.tcb.2023.11.002
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interests None declared by authors.