{"id":"https://openalex.org/W7223902894","doi":"https://doi.org/10.48550/arxiv.2610.33022","title":"Physiology as Topology: Intervenable Organ Graphs for Longitudinal Patient Forecasting","display_name":"Physiology as Topology: Intervenable Organ Graphs for Longitudinal Patient Forecasting","publication_year":2026,"publication_date":"2026-10-09","ids":{"openalex":"https://openalex.org/W7223902894","doi":"https://doi.org/10.48550/arxiv.2610.33022"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2610.33022","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.33022","pdf_url":"https://arxiv.org/pdf/2610.33022","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,"listed_in":[],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2610.33022","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5159942811","display_name":"Xinru Liang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang, Xinru","raw_affiliation_strings":["College of AI Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of AI Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5159789546","display_name":"Yongchao Chen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen, Yongchao","raw_affiliation_strings":["College of AI Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of AI Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multi-agent-systems","display_name":"multi-agent systems","score":0.734000027179718},{"id":"https://openalex.org/keywords/intensive-care-unit-admission","display_name":"intensive care unit admission","score":0.460999995470047},{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"counterfactual reasoning","score":0.6919999718666077}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6090999841690063},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.5432000160217285},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5396999716758728},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.46779999136924744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43299999833106995},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.3822999894618988},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37940001487731934},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37290000915527344},{"id":"https://openalex.org/C3018799218","wikidata":"https://www.wikidata.org/wiki/Q188193","display_name":"Organ system","level":3,"score":0.36469998955726624},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3467999994754791},{"id":"https://openalex.org/C204434341","wikidata":"https://www.wikidata.org/wiki/Q357789","display_name":"Adjudication","level":2,"score":0.33169999718666077},{"id":"https://openalex.org/C168773769","wikidata":"https://www.wikidata.org/wiki/Q1350299","display_name":"Satisfiability","level":2,"score":0.32690000534057617},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.3179999887943268},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3125},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C75778745","wikidata":"https://www.wikidata.org/wiki/Q342626","display_name":"Lag","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.25060001015663147},{"id":"https://openalex.org/C204562854","wikidata":"https://www.wikidata.org/wiki/Q1397646","display_name":"Edge contraction","level":5,"score":0.25049999356269836}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2610.33022","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.33022","pdf_url":"https://arxiv.org/pdf/2610.33022","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,"listed_in":[],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2610.33022","doi":"https://doi.org/10.48550/arxiv.2610.33022","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2610.33022","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,"listed_in":[],"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2610.33022","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.33022","pdf_url":"https://arxiv.org/pdf/2610.33022","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,"listed_in":[],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.7246000170707703}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7223902894.pdf","grobid_xml":"https://content.openalex.org/works/W7223902894.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W2519887557","https://openalex.org/W2766453196","https://openalex.org/W3195577433","https://openalex.org/W3215529831","https://openalex.org/W4221161695","https://openalex.org/W4304195432","https://openalex.org/W4327810158","https://openalex.org/W4360891289","https://openalex.org/W4378505261","https://openalex.org/W4384111914","https://openalex.org/W4384918448","https://openalex.org/W4385965642","https://openalex.org/W4396758996","https://openalex.org/W4414939355","https://openalex.org/W4415239138","https://openalex.org/W4415309788","https://openalex.org/W4417251508","https://openalex.org/W7129043798","https://openalex.org/W7165385035"],"related_works":["https://openalex.org/W4415239138","https://openalex.org/W3200915061","https://openalex.org/W7162087207","https://openalex.org/W7161169189","https://openalex.org/W7221137505","https://openalex.org/W7164296714","https://openalex.org/W7159689127","https://openalex.org/W7168189452","https://openalex.org/W7214801062","https://openalex.org/W2888894115"],"abstract_inverted_index":{"Do":[0],"language":[1],"models":[2],"forecast":[3],"patient":[4],"trajectories":[5],"by":[6,11,122],"reasoning":[7],"through":[8],"physiology,":[9],"or":[10],"fitting":[12],"surface":[13],"statistics?":[14],"We":[15,54,71],"introduce":[16,56],"PhysioCircuit,":[17],"a":[18,58],"multi-agent":[19],"agent":[20,28],"system":[21],"that":[22],"represents":[23],"each":[24,30],"organ":[25,63,80,120],"as":[26,33],"an":[27,34],"and":[29,41,67,106,130],"physiological":[31],"relation":[32],"editable":[35,131],"mechanism":[36],"card":[37],"with":[38],"direction,":[39],"lag,":[40],"evidence.":[42],"Its":[43],"expert-defined":[44],"graph":[45,94],"is":[46],"frozen":[47],"at":[48],"inference,":[49],"enabling":[50],"controlled":[51],"edge":[52],"interventions.":[53],"also":[55],"PhysioCircuit-Bench,":[57],"mechanism-controlled":[59],"benchmark":[60],"spanning":[61],"three":[62],"systems,":[64],"treatment":[65],"events,":[66],"real":[68],"ICU":[69],"admissions.":[70],"evaluate":[72],"intervention-direction":[73],"agreement":[74],"(IDAR),":[75],"which":[76],"requires":[77],"the":[78,84,88,113],"affected":[79],"to":[81,118],"change":[82],"in":[83],"expected":[85,89],"direction":[86],"within":[87],"lag":[90],"window.":[91],"The":[92],"expert":[93],"substantially":[95],"outperforms":[96],"all":[97],"topology":[98],"controls":[99],"on":[100],"edge-IDAR,":[101],"including":[102],"fully":[103],"connected,":[104],"random,":[105],"reversed":[107],"graphs.":[108],"Independent":[109],"clinician":[110],"adjudication":[111],"supports":[112],"counterfactual":[114],"results.":[115],"PhysioCircuit":[116],"transfers":[117],"new":[119],"systems":[121],"configuration":[123],"alone,":[124],"without":[125],"retraining,":[126],"while":[127],"preserving":[128],"inspectable":[129],"relations.":[132]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-10-28T00:00:00"}