{"id":"https://openalex.org/W7166693598","doi":"https://doi.org/10.48550/arxiv.2606.29883","title":"Building artificial intelligence virtual tissue (AIVT) for tissue state representation, feature prediction, and dynamic simulation","display_name":"Building artificial intelligence virtual tissue (AIVT) for tissue state representation, feature prediction, and dynamic simulation","publication_year":2026,"publication_date":"2026-06-29","ids":{"openalex":"https://openalex.org/W7166693598","doi":"https://doi.org/10.48550/arxiv.2606.29883"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.29883","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.29883","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.29883","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017473185","display_name":"Qiqi Lu","orcid":"https://orcid.org/0000-0001-6066-0690"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Qiqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139679630","display_name":"Qianjin Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Qianjin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058615051","display_name":"Shaoqun Zeng","orcid":"https://orcid.org/0000-0002-1802-337X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeng, Shaoqun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5022575314","display_name":"Shenghua Cheng","orcid":"https://orcid.org/0000-0003-3527-3845"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Shenghua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11190","display_name":"3D Printing in Biomedical Research","score":0.5738999843597412,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11190","display_name":"3D Printing in Biomedical Research","score":0.5738999843597412,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.10920000076293945,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.03440000116825104,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6498000025749207},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5314000248908997},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4194999933242798},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3684000074863434},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.3546999990940094},{"id":"https://openalex.org/keywords/tissue-remodeling","display_name":"Tissue remodeling","score":0.3352999985218048},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.329800009727478},{"id":"https://openalex.org/keywords/virtual-actor","display_name":"Virtual actor","score":0.3206000030040741}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6802999973297119},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6498000025749207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6035000085830688},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5314000248908997},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4194999933242798},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3684000074863434},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3546999990940094},{"id":"https://openalex.org/C2776581183","wikidata":"https://www.wikidata.org/wiki/Q25104725","display_name":"Tissue remodeling","level":3,"score":0.3352999985218048},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.329800009727478},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3244999945163727},{"id":"https://openalex.org/C150303390","wikidata":"https://www.wikidata.org/wiki/Q1983852","display_name":"Virtual actor","level":3,"score":0.3206000030040741},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.3116999864578247},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.31060001254081726},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.31060001254081726},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.30079999566078186},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C25344961","wikidata":"https://www.wikidata.org/wiki/Q192726","display_name":"Virtual machine","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C2910796902","wikidata":"https://www.wikidata.org/wiki/Q41301","display_name":"Epithelial tissue","level":3,"score":0.28119999170303345},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C2993784607","wikidata":"https://www.wikidata.org/wiki/Q40397","display_name":"Native tissue","level":3,"score":0.25619998574256897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.29883","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.29883","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.29883","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.29883","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Modeling":[0],"tissue":[1,10,55,68,98,101,115,140],"states":[2,56],"and":[3,14,57,83,93,104,107,111,130],"their":[4,58],"transitions":[5],"is":[6,86],"essential":[7],"for":[8,46,78,138],"understanding":[9],"homeostasis":[11],"in":[12,17,74,81],"health":[13,82],"pathological":[15],"remodeling":[16],"disease.":[18,84],"However,":[19],"conventional":[20],"computational":[21],"modeling":[22,79],"approaches":[23],"are":[24],"inadequate":[25],"to":[26,53,88],"capture":[27],"the":[28,63,119],"complexity":[29],"of":[30,65,97,113,133],"tissues":[31,80],"as":[32,126,128,135],"spatially":[33,91],"organized,":[34],"multiscale":[35],"biological":[36],"systems.":[37],"Artificial":[38],"intelligence":[39],"(AI)":[40],"has":[41],"shown":[42],"a":[43,136],"remarkable":[44],"ability":[45],"representing":[47],"intricate":[48],"systems,":[49],"creating":[50],"new":[51],"opportunities":[52],"characterize":[54],"transitions.":[59],"Here,":[60],"we":[61],"propose":[62],"concept":[64],"AI":[66,71],"virtual":[67],"(AIVT),":[69],"an":[70],"framework":[72,137],"grounded":[73],"spatial":[75],"multimodal":[76],"data":[77,129],"AIVT":[85,134],"designed":[87],"learn":[89],"unified,":[90],"resolved,":[92],"dynamically":[94],"manipulatable":[95],"representations":[96],"state,":[99],"enabling":[100],"state":[102],"representation":[103],"analysis,":[105],"molecular":[106],"morphological":[108],"feature":[109],"prediction,":[110],"simulation":[112],"spatiotemporal":[114],"dynamics.":[116],"We":[117],"outline":[118],"fundamental":[120],"assumptions,":[121],"core":[122],"capabilities,":[123],"architectural":[124],"components,":[125],"well":[127],"algorithm":[131],"foundations":[132],"AI-driven":[139],"modeling.":[141]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-01T00:00:00"}