{"doi":"10.1038/s41746-024-01084-x","title":"Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations","abstract":"Cardiac digital twins provide a physics and physiology informed framework to deliver personalized medicine. However, high-fidelity multi-scale cardiac models remain a barrier to adoption due to their extensive computational costs. Artificial Intelligence-based methods can make the creation of fast and accurate whole-heart digital twins feasible. We use Latent Neural Ordinary Differential Equations (LNODEs) to learn the pressure-volume dynamics of a heart failure patient. Our surrogate model is trained from 400 simulations while accounting for 43 parameters describing cell-to-organ cardiac electromechanics and cardiovascular hemodynamics. LNODEs provide a compact representation of the 3D-0D model in a latent space by means of an Artificial Neural Network that retains only 3 hidden layers with 13 neurons per layer and allows for numerical simulations of cardiac function on a single processor. We employ LNODEs to perform global sensitivity analysis and parameter estimation with uncertainty quantification in 3 hours of computations, still on a single processor.","journal":"npj Digital Medicine","year":2024,"id":419897,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":37,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.953,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":638057,"name":"Marina Strocchi","orcid":"0000-0003-1312-251X","position":1,"is_corresponding":false},{"id":1169233,"name":"Francesco Regazzoni","orcid":"0000-0002-4207-1400","position":2,"is_corresponding":false},{"id":605712,"name":"Christoph M. Augustin","orcid":"0000-0001-6341-4014","position":3,"is_corresponding":false},{"id":1047340,"name":"Luca Dede’","orcid":"0000-0002-6558-8277","position":4,"is_corresponding":false},{"id":328101,"name":"Steven Niederer","orcid":"0000-0002-4612-6982","position":5,"is_corresponding":false},{"id":1047341,"name":"Alfio Quarteroni","orcid":"0000-0002-5947-6885","position":6,"is_corresponding":false},{"id":680349,"name":"Matteo Salvador","orcid":"0000-0002-4937-5538","position":0,"is_corresponding":true}],"reference_count":50,"raw_metadata":null,"created_at":"2026-07-19T01:57:19.937291Z","pmid":"38605089","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}