{"id":"https://openalex.org/W7164820923","doi":"https://doi.org/10.48550/arxiv.2606.14169","title":"Machine Learning for Biomedical Raman Spectroscopy: From Spectral Acquisition to Clinical Translation","display_name":"Machine Learning for Biomedical Raman Spectroscopy: From Spectral Acquisition to Clinical Translation","publication_year":2026,"publication_date":"2026-06-12","ids":{"openalex":"https://openalex.org/W7164820923","doi":"https://doi.org/10.48550/arxiv.2606.14169"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.14169","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14169","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":null,"license_id":null,"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.2606.14169","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028386081","display_name":"Bogdan Oancea","orcid":"https://orcid.org/0000-0001-6987-5137"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oancea, Bogdan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006468089","display_name":"Ana Maria Seciu-Grama","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seciu-Grama, Ana Maria","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073868655","display_name":"Nicoleta Siminea","orcid":"https://orcid.org/0000-0002-9956-1718"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Siminea, Nicoleta","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138660281","display_name":"Laura Mihaela Stefan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stefan, Laura Mihaela","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000342359","display_name":"Alice Stoica","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stoica, Alice","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045682216","display_name":"Joel Sj\u00f6berg","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sjoberg, Joel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043580169","display_name":"Marian Necula","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Necula, Marian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110917732","display_name":"Ana\u2010Maria Prelipcean","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prelipcean, Ana-Maria","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084077366","display_name":"Corneliu Ovidiu Vr\u00e2ncianu","orcid":"https://orcid.org/0000-0002-2409-0966"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vrancianu, Corneliu Ovidiu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138656766","display_name":"Eduard Milea","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Milea, Eduard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018378071","display_name":"Andrei P\u0103un","orcid":"https://orcid.org/0000-0002-1644-8198"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"P\u0103un, Andrei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047091186","display_name":"Ion Petre","orcid":"https://orcid.org/0000-0002-5014-5529"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Petre, Ion","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138634386","display_name":"Mihaela P\u0103un","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"P\u0103un, Mihaela","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/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.996999979019165,"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"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10131","display_name":"Gold and Silver Nanoparticles Synthesis and Applications","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/2504","display_name":"Electronic, Optical and Magnetic Materials"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6470999717712402},{"id":"https://openalex.org/keywords/raman-spectroscopy","display_name":"Raman spectroscopy","score":0.42890000343322754},{"id":"https://openalex.org/keywords/clinical-practice","display_name":"Clinical Practice","score":0.4284999966621399},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.4104999899864197},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4090000092983246},{"id":"https://openalex.org/keywords/characterization","display_name":"Characterization (materials science)","score":0.390500009059906},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3617999851703644},{"id":"https://openalex.org/keywords/precision-medicine","display_name":"Precision medicine","score":0.34540000557899475},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.34360000491142273}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7427999973297119},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6470999717712402},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.630299985408783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5794000029563904},{"id":"https://openalex.org/C40003534","wikidata":"https://www.wikidata.org/wiki/Q862228","display_name":"Raman spectroscopy","level":2,"score":0.42890000343322754},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.4284999966621399},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4104999899864197},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4090000092983246},{"id":"https://openalex.org/C2780841128","wikidata":"https://www.wikidata.org/wiki/Q5073781","display_name":"Characterization (materials science)","level":2,"score":0.390500009059906},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3617999851703644},{"id":"https://openalex.org/C163763905","wikidata":"https://www.wikidata.org/wiki/Q17075943","display_name":"Precision medicine","level":2,"score":0.34540000557899475},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.34360000491142273},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3416000008583069},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.31769999861717224},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.29030001163482666},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C144559511","wikidata":"https://www.wikidata.org/wiki/Q2986279","display_name":"Principal (computer security)","level":2,"score":0.2689000070095062},{"id":"https://openalex.org/C152662350","wikidata":"https://www.wikidata.org/wiki/Q815297","display_name":"Systems biology","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C2985322473","wikidata":"https://www.wikidata.org/wiki/Q3044843","display_name":"Cancer detection","level":3,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.14169","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14169","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.14169","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14169","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.4516087770462036,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Raman":[0,28,60],"spectroscopy":[1,61],"provides":[2],"label-free,":[3],"chemically":[4],"specific":[5],"characterization":[6],"of":[7,54,99,141],"biological":[8,42],"systems":[9],"and":[10,23,34,41,65,74,78,84,90,112,138,144,160,168,179],"has":[11],"become":[12],"an":[13],"important":[14],"tool":[15],"for":[16,104,109,176],"cancer":[17],"diagnosis,":[18],"molecular":[19,75,91],"subtyping,":[20],"microbiological":[21],"identification,":[22],"intraoperative":[24],"decision":[25],"support.":[26],"Biomedical":[27],"spectra":[29],"are,":[30],"however,":[31],"high-dimensional,":[32],"noisy,":[33],"affected":[35],"by":[36],"fluorescence":[37],"background,":[38],"acquisition":[39],"variability,":[40,130],"heterogeneity,":[43],"making":[44],"robust":[45,157],"computational":[46],"analysis":[47],"essential.":[48],"This":[49],"review":[50,172],"examines":[51],"the":[52,58,97,119],"role":[53],"machine":[55,100],"learning":[56,101],"across":[57],"biomedical":[59],"pipeline,":[62],"from":[63],"preprocessing":[64],"signal":[66],"correction":[67],"to":[68,122],"unsupervised":[69],"structure":[70],"discovery,":[71,83],"supervised":[72],"diagnosis":[73],"stratification,":[76],"representation":[77],"transfer":[79],"learning,":[80],"explainability,":[81,159],"biomarker":[82],"multimodal":[85],"integration":[86],"with":[87,155],"imaging,":[88],"pathology,":[89],"profiling.":[92],"Emphasis":[93],"is":[94],"placed":[95],"on":[96],"use":[98],"not":[102],"only":[103],"diagnostic":[105],"classification,":[106],"but":[107],"also":[108,117],"biologically":[110],"interpretable":[111],"clinically":[113,180],"actionable":[114],"analysis.":[115],"We":[116,146],"discuss":[118],"main":[120],"barriers":[121],"clinical":[123],"translation,":[124],"including":[125],"limited":[126,139],"dataset":[127],"sizes,":[128],"inter-instrument":[129],"inconsistent":[131],"preprocessing,":[132],"insufficient":[133],"external":[134],"validation,":[135,158],"reproducibility":[136],"concerns,":[137],"sharing":[140],"software,":[142],"data,":[143],"metadata.":[145],"argue":[147],"that":[148],"progress":[149],"will":[150],"require":[151],"methodological":[152],"advances":[153],"together":[154],"standardization,":[156],"deployment-ready":[161],"analytical":[162],"frameworks.":[163],"By":[164],"integrating":[165],"methodological,":[166],"biomedical,":[167],"translational":[169],"perspectives,":[170],"this":[171],"outlines":[173],"key":[174],"directions":[175],"developing":[177],"reliable":[178],"deployable":[181],"Raman-AI":[182],"systems.":[183]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-16T00:00:00"}