{"id":"https://openalex.org/W4409017245","doi":"https://doi.org/10.48550/arxiv.2503.20049","title":"Deep Learning Approaches for Blood Disease Diagnosis Across Hematopoietic Lineages","display_name":"Deep Learning Approaches for Blood Disease Diagnosis Across Hematopoietic Lineages","publication_year":2025,"publication_date":"2025-03-25","ids":{"openalex":"https://openalex.org/W4409017245","doi":"https://doi.org/10.48550/arxiv.2503.20049"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2503.20049","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.20049","pdf_url":"https://arxiv.org/pdf/2503.20049","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2503.20049","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078786608","display_name":"G. B\u00f8","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo, Gabriel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006137580","display_name":"Justin Gu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gu, Justin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101926560","display_name":"Christopher Sun","orcid":"https://orcid.org/0000-0002-1906-6080"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Christopher","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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9562000036239624,"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/disease","display_name":"Disease","score":0.6144459247589111},{"id":"https://openalex.org/keywords/haematopoiesis","display_name":"Haematopoiesis","score":0.5836611390113831},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4070424437522888},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.38589614629745483},{"id":"https://openalex.org/keywords/evolutionary-biology","display_name":"Evolutionary biology","score":0.34249937534332275},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.332614541053772},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.22088783979415894},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.14048117399215698},{"id":"https://openalex.org/keywords/stem-cell","display_name":"Stem cell","score":0.08726072311401367}],"concepts":[{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.6144459247589111},{"id":"https://openalex.org/C109159458","wikidata":"https://www.wikidata.org/wiki/Q919283","display_name":"Haematopoiesis","level":3,"score":0.5836611390113831},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4070424437522888},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.38589614629745483},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.34249937534332275},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.332614541053772},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.22088783979415894},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.14048117399215698},{"id":"https://openalex.org/C28328180","wikidata":"https://www.wikidata.org/wiki/Q48196","display_name":"Stem cell","level":2,"score":0.08726072311401367}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2503.20049","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.20049","pdf_url":"https://arxiv.org/pdf/2503.20049","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2503.20049","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2503.20049","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"pmh:oai:arXiv.org:2503.20049","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.20049","pdf_url":"https://arxiv.org/pdf/2503.20049","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2082860237","https://openalex.org/W2119695867","https://openalex.org/W2130076355","https://openalex.org/W1990804418","https://openalex.org/W1993764875","https://openalex.org/W2046158694","https://openalex.org/W2788277189","https://openalex.org/W2013243191","https://openalex.org/W2061542922"],"abstract_inverted_index":{"We":[0,56,76],"present":[1],"a":[2,22,36,82],"foundation":[3],"modeling":[4],"framework":[5],"that":[6,40],"leverages":[7],"deep":[8],"learning":[9],"to":[10,35,88,125],"uncover":[11],"latent":[12,38],"genetic":[13],"signatures":[14],"across":[15],"the":[16,58,105,115],"hematopoietic":[17],"hierarchy.":[18],"Our":[19,93],"approach":[20],"trains":[21],"fully":[23],"connected":[24],"autoencoder":[25],"on":[26,114,128],"multipotent":[27],"progenitor":[28,46,83],"cells,":[29],"reducing":[30],"over":[31],"20,000":[32],"gene":[33],"features":[34],"256-dimensional":[37],"space":[39],"captures":[41],"predictive":[42],"information":[43],"for":[44,71,100],"both":[45],"and":[47,54,67,103],"downstream":[48,90],"differentiated":[49],"cells":[50],"such":[51],"as":[52],"monocytes":[53],"lymphocytes.":[55],"validate":[57],"quality":[59],"of":[60],"these":[61],"embeddings":[62,123],"by":[63],"training":[64],"feed-forward,":[65],"transformer,":[66],"graph":[68],"convolutional":[69],"architectures":[70],"blood":[72],"disease":[73,84],"diagnosis":[74],"tasks.":[75],"also":[77],"explore":[78],"zero-shot":[79,106],"prediction":[80],"using":[81],"state":[85],"classification":[86,117,130],"model":[87],"classify":[89],"cell":[91],"conditions.":[92],"models":[94],"achieve":[95,109],"greater":[96,110],"than":[97,111],"95%":[98],"accuracy":[99],"multi-class":[101],"classification,":[102],"in":[104],"setting,":[107],"we":[108],"0.7":[112],"F1-score":[113],"binary":[116],"task.":[118],"Future":[119],"work":[120],"should":[121],"improve":[122],"further":[124],"increase":[126],"robustness":[127],"lymphocyte":[129],"specifically.":[131]},"counts_by_year":[],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}
