{"id":"https://openalex.org/W7214243278","doi":"https://doi.org/10.64898/2026.09.17.752483","title":"When Prognostic Compatibility Does Not Guarantee Transfer Utility in Event-Limited Cross-Species Survival Modeling","display_name":"When Prognostic Compatibility Does Not Guarantee Transfer Utility in Event-Limited Cross-Species Survival Modeling","publication_year":2026,"publication_date":"2026-09-24","ids":{"openalex":"https://openalex.org/W7214243278","doi":"https://doi.org/10.64898/2026.09.17.752483"},"language":"en","primary_location":{"id":"doi:10.64898/2026.09.17.752483","doi":"https://doi.org/10.64898/2026.09.17.752483","is_oa":true,"landing_page_url":"https://doi.org/10.64898/2026.09.17.752483","pdf_url":"https://www.biorxiv.org/content/biorxiv/early/2026/09/24/2026.09.17.752483.full.pdf","source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"},"volume":null,"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.biorxiv.org/content/biorxiv/early/2026/09/24/2026.09.17.752483.full.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5140528604","display_name":"Elena Krikun","orcid":"https://orcid.org/0009-0004-0047-7359","observed_orcids":["https://orcid.org/0009-0004-0047-7359"]},"institutions":[{"id":"https://openalex.org/I72541430","display_name":"Lakehead University","ror":"https://ror.org/023p7mg82","country_code":"CA","type":"education","lineage":["https://openalex.org/I72541430"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Elena Krikun","raw_affiliation_strings":["Department of Computer Science, Lakehead University, 955 Oliver Rd, Thunder Bay, ON P7B 5E1, Canada"],"raw_orcid":"https://orcid.org/0009-0004-0047-7359","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Lakehead University, 955 Oliver Rd, Thunder Bay, ON P7B 5E1, Canada","institution_ids":["https://openalex.org/I72541430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009739727","display_name":"Abedalrhman Alkhateeb","orcid":"https://orcid.org/0000-0002-1751-7570","observed_orcids":["https://orcid.org/0000-0002-1751-7570"]},"institutions":[{"id":"https://openalex.org/I72541430","display_name":"Lakehead University","ror":"https://ror.org/023p7mg82","country_code":"CA","type":"education","lineage":["https://openalex.org/I72541430"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Abedalrhman Alkhateeb","raw_affiliation_strings":["Department of Computer Science, Lakehead University, 955 Oliver Rd, Thunder Bay, ON P7B 5E1, Canada"],"raw_orcid":"https://orcid.org/0000-0002-1751-7570","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Lakehead University, 955 Oliver Rd, Thunder Bay, ON P7B 5E1, Canada","institution_ids":["https://openalex.org/I72541430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5140528604"],"corresponding_institution_ids":["https://openalex.org/I72541430"],"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/T11149","display_name":"Veterinary Oncology Research","score":0.8393999934196472,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11149","display_name":"Veterinary Oncology Research","score":0.8393999934196472,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.03750000149011612,"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/T10253","display_name":"Sarcoma Diagnosis and Treatment","score":0.03539999946951866,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cross-species-transfer-learning","display_name":"cross-species transfer learning","score":0.7710000276565552},{"id":"https://openalex.org/keywords/negative-transfer","display_name":"negative transfer","score":0.9010000228881836},{"id":"https://openalex.org/keywords/model-selection-bias","display_name":"model selection bias","score":0.7250000238418579},{"id":"https://openalex.org/keywords/low-rank-adaptation","display_name":"low-rank adaptation","score":0.7360000014305115},{"id":"https://openalex.org/keywords/rare-tumor","display_name":"rare tumor","score":0.45100000500679016},{"id":"https://openalex.org/keywords/prognostic-factors","display_name":"prognostic factors","score":0.49399998784065247}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5789999961853027},{"id":"https://openalex.org/C2778648169","wikidata":"https://www.wikidata.org/wiki/Q967768","display_name":"Compatibility (geochemistry)","level":2,"score":0.5},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45570001006126404},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.45350000262260437},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.43529999256134033},{"id":"https://openalex.org/C81299745","wikidata":"https://www.wikidata.org/wiki/Q334269","display_name":"Transfer function","level":2,"score":0.3628999888896942},{"id":"https://openalex.org/C2778629024","wikidata":"https://www.wikidata.org/wiki/Q720020","display_name":"Soft tissue sarcoma","level":3,"score":0.31769999861717224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3098999857902527},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3050000071525574},{"id":"https://openalex.org/C3020402766","wikidata":"https://www.wikidata.org/wiki/Q104376712","display_name":"Prior information","level":2,"score":0.3041999936103821},{"id":"https://openalex.org/C8854915","wikidata":"https://www.wikidata.org/wiki/Q4350200","display_name":"Information transfer","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2743000090122223},{"id":"https://openalex.org/C44255700","wikidata":"https://www.wikidata.org/wiki/Q978423","display_name":"Hardening (computing)","level":3,"score":0.2685999870300293},{"id":"https://openalex.org/C10515644","wikidata":"https://www.wikidata.org/wiki/Q543310","display_name":"Survival analysis","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C20574231","wikidata":"https://www.wikidata.org/wiki/Q844605","display_name":"Backward compatibility","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.64898/2026.09.17.752483","doi":"https://doi.org/10.64898/2026.09.17.752483","is_oa":true,"landing_page_url":"https://doi.org/10.64898/2026.09.17.752483","pdf_url":"https://www.biorxiv.org/content/biorxiv/early/2026/09/24/2026.09.17.752483.full.pdf","source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.64898/2026.09.17.752483","doi":"https://doi.org/10.64898/2026.09.17.752483","is_oa":true,"landing_page_url":"https://doi.org/10.64898/2026.09.17.752483","pdf_url":"https://www.biorxiv.org/content/biorxiv/early/2026/09/24/2026.09.17.752483.full.pdf","source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"},"sustainable_development_goals":[{"score":0.7246000170707703,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7214243278.pdf","grobid_xml":"https://content.openalex.org/works/W7214243278.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2116599555","https://openalex.org/W2120579447","https://openalex.org/W2157748924","https://openalex.org/W2165698076","https://openalex.org/W2585311025","https://openalex.org/W2753919178","https://openalex.org/W2963275094","https://openalex.org/W3147894994","https://openalex.org/W4375860340","https://openalex.org/W4403451732"],"related_works":["https://openalex.org/W7214654165","https://openalex.org/W2000834253","https://openalex.org/W1974706041","https://openalex.org/W4385948493","https://openalex.org/W2116599555","https://openalex.org/W7098093816","https://openalex.org/W1977353582","https://openalex.org/W7214205757","https://openalex.org/W4403451732","https://openalex.org/W7214108850"],"abstract_inverted_index":{"Abstract":[0],"Cross-species":[1],"molecular":[2],"transfer":[3,34,43,168,235],"may":[4],"improve":[5],"prognostic":[6,156,227],"modeling":[7],"in":[8],"rare":[9],"cancers,":[10],"but":[11,142,163],"under":[12],"severe":[13],"target-event":[14],"scarcity":[15],"the":[16,30,53,62,109,122,137,204,221],"same":[17],"data":[18],"can":[19],"easily":[20],"be":[21],"used":[22],"to":[23,153],"fit,":[24],"choose,":[25],"and":[26,35,65,72,79,89,94,113,129,177],"evaluate":[27],"adaptation,":[28],"increasing":[29],"risk":[31],"of":[32,139],"negative":[33,179],"model-selection":[36],"bias.":[37],"We":[38],"evaluated":[39],"canine-to-human":[40],"osteosarcoma":[41],"survival":[42],"using":[44],"a":[45,66,95,215],"chronologically":[46],"frozen":[47,84,205],"design.":[48],"DOG":[49,189],"2":[50,190],"served":[51],"as":[52],"canine":[54,206],"source":[55],"domain,":[56],"50":[57],"MSigDB":[58],"Hallmark":[59,195],"modules":[60],"defined":[61],"shared":[63],"representation,":[64],"known-truth":[67],"benchmark":[68,134],"comprised":[69],"180":[70],"scenarios":[71],"21,600":[73],"replicates":[74],"spanning":[75],"5\u201340":[76],"target":[77],"events":[78],"multiple":[80],"transport":[81],"regimes.":[82],"A":[83],"safety":[85],"rule":[86],"compared":[87],"lowrank":[88],"module-selective":[90],"adaptation;":[91],"later":[92],"diagnostics":[93],"6,000-replicate":[96],"disjoint-seed":[97],"mechanism":[98],"experiment":[99],"could":[100],"not":[101,144,165,186,231],"alter":[102],"that":[103,121,133],"decision.":[104],"Neither":[105],"selectable":[106],"architecture":[107],"met":[108],"negative-transfer":[110],"limit":[111],"(0.215":[112],"0.486":[114],"versus":[115,170,212],"0.10),":[116],"although":[117,181],"oracle":[118],"analyses":[119],"showed":[120,132,193],"threshold":[123,130],"was":[124,150,185],"attainable.":[125],"Prespecified":[126],"post-HOLD":[127],"weighting":[128],"sensitivities":[131],"composition":[135],"amplified":[136],"magnitude":[138],"A3":[140],"failure":[141],"did":[143,164,230],"create":[145],"its":[146,182],"instability,":[147],"whereas":[148],"A2":[149],"comparatively":[151],"insensitive":[152],"weighting.":[154],"Training-set":[155],"compatibility":[157,228],"identified":[158],"generator":[159],"regimes":[160],"(AUROC":[161],"0.980)":[162],"reliably":[166],"order":[167],"benefit":[169],"harm.":[171],"Prediction-time":[172],"gate":[173],"hardening":[174],"improved":[175],"discrimination":[176],"reduced":[178],"transfer,":[180],"composite":[183],"criterion":[184],"met.":[187],"Outcome-blind":[188],"\u2013TARGET":[191],"analysis":[192],"heterogeneous":[194],"preservation.":[196],"In":[197],"86":[198],"TARGET":[199],"cases":[200],"with":[201],"29":[202],"events,":[203],"classical":[207],"model":[208],"had":[209],"IBS":[210],"0.159":[211],"0.166":[213],"for":[214],"fold-local":[216],"no-covariate":[217],"Kaplan\u2013Meier":[218],"reference,":[219],"while":[220],"human":[222],"interpretation":[223],"remained":[224],"unresolved.":[225],"Measurable":[226],"therefore":[229],"guarantee":[232],"safe":[233],"architecture-level":[234],"utility.":[236]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-09-25T00:00:00"}