TY - JOUR
T1 - Mechanism-aware and multimodal AI: beyond model-agnostic interpretation
AU - Occhipinti, Annalisa
AU - Verma, Suraj
AU - Doan, Le Minh Thao
AU - Angione, Claudio
PY - 2023/12/11
Y1 - 2023/12/11
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85179818333&partnerID=8YFLogxK
U2 - 10.1016/j.tcb.2023.11.002
DO - 10.1016/j.tcb.2023.11.002
M3 - Article
SN - 0962-8924
JO - Trends in Cell Biology
JF - Trends in Cell Biology
ER -