{"id":"https://openalex.org/W7161303512","doi":"https://doi.org/10.1016/j.array.2026.100910","title":"Microbiome-based disease prediction with artificial intelligence: A systematic review","display_name":"Microbiome-based disease prediction with artificial intelligence: A systematic review","publication_year":2026,"publication_date":"2026-05-15","ids":{"openalex":"https://openalex.org/W7161303512","doi":"https://doi.org/10.1016/j.array.2026.100910"},"language":"en","primary_location":{"id":"doi:10.1016/j.array.2026.100910","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.array.2026.100910","pdf_url":null,"source":{"id":"https://openalex.org/S4210194039","display_name":"Array","issn_l":"2590-0056","issn":["2590-0056"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Array","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.array.2026.100910","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053491646","display_name":"Tallat Jabeen","orcid":"https://orcid.org/0000-0001-7421-1706"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Tallat Jabeen","raw_affiliation_strings":["Faculty of Engineering and IT, University of Technology Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0001-7421-1706","affiliations":[{"raw_affiliation_string":"Faculty of Engineering and IT, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136272791","display_name":"Faezeh Karimi","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Faezeh Karimi","raw_affiliation_strings":["Faculty of Engineering and IT, University of Technology Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and IT, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029939895","display_name":"Ali R. Zomorrodi","orcid":"https://orcid.org/0000-0002-9134-8082"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali R. Zomorrodi","raw_affiliation_strings":["Mucosal Immunology and Biology Research Center, Harvard Medical School, Boston, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mucosal Immunology and Biology Research Center, Harvard Medical School, Boston, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123904834","display_name":"Kaveh Khalilpour","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kaveh Khalilpour","raw_affiliation_strings":["Faculty of Engineering and IT, University of Technology Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and IT, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053491646"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":{"value":1350,"currency":"USD","value_usd":1350},"apc_paid":{"value":1350,"currency":"USD","value_usd":1350},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.73509007,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"100910","last_page":"100910"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.1111999973654747,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.1111999973654747,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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":0.043299999088048935,"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"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.04039999842643738,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.5058000087738037},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.28360000252723694},{"id":"https://openalex.org/keywords/medline","display_name":"MEDLINE","score":0.27730000019073486},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.23559999465942383}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5328999757766724},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.5058000087738037},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.35440000891685486},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3515999913215637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29910001158714294},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.28360000252723694},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.23579999804496765},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.23559999465942383},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.22859999537467957}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.array.2026.100910","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.array.2026.100910","pdf_url":null,"source":{"id":"https://openalex.org/S4210194039","display_name":"Array","issn_l":"2590-0056","issn":["2590-0056"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Array","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.array.2026.100910","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.array.2026.100910","pdf_url":null,"source":{"id":"https://openalex.org/S4210194039","display_name":"Array","issn_l":"2590-0056","issn":["2590-0056"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Array","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.5332690477371216,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":112,"referenced_works":["https://openalex.org/W2009313910","https://openalex.org/W2134809046","https://openalex.org/W2146385699","https://openalex.org/W2276854519","https://openalex.org/W2592244930","https://openalex.org/W2951840100","https://openalex.org/W2998285518","https://openalex.org/W3008875723","https://openalex.org/W3012730985","https://openalex.org/W3016826587","https://openalex.org/W3026405549","https://openalex.org/W3033330873","https://openalex.org/W3033378924","https://openalex.org/W3040489902","https://openalex.org/W3048688881","https://openalex.org/W3081979171","https://openalex.org/W3083782901","https://openalex.org/W3092264656","https://openalex.org/W3092404798","https://openalex.org/W3112121682","https://openalex.org/W3127298225","https://openalex.org/W3132461044","https://openalex.org/W3135795993","https://openalex.org/W3155993498","https://openalex.org/W3174430166","https://openalex.org/W3174851702","https://openalex.org/W3178107640","https://openalex.org/W3182924514","https://openalex.org/W3190623704","https://openalex.org/W3198019565","https://openalex.org/W3199193607","https://openalex.org/W3212843907","https://openalex.org/W4200303709","https://openalex.org/W4205171550","https://openalex.org/W4205227943","https://openalex.org/W4206057987","https://openalex.org/W4210640577","https://openalex.org/W4210837103","https://openalex.org/W4211075414","https://openalex.org/W4212789670","https://openalex.org/W4213435390","https://openalex.org/W4214673864","https://openalex.org/W4220807255","https://openalex.org/W4220878354","https://openalex.org/W4220988384","https://openalex.org/W4223605206","https://openalex.org/W4224015539","https://openalex.org/W4225161492","https://openalex.org/W4284664007","https://openalex.org/W4286697116","https://openalex.org/W4289834680","https://openalex.org/W4289855726","https://openalex.org/W4291002561","https://openalex.org/W4292875566","https://openalex.org/W4293162929","https://openalex.org/W4298142898","https://openalex.org/W4302426080","https://openalex.org/W4303628461","https://openalex.org/W4306292546","https://openalex.org/W4307945531","https://openalex.org/W4308886201","https://openalex.org/W4309076662","https://openalex.org/W4309424046","https://openalex.org/W4310235772","https://openalex.org/W4310696458","https://openalex.org/W4311174821","https://openalex.org/W4311884381","https://openalex.org/W4312203673","https://openalex.org/W4313334455","https://openalex.org/W4315647618","https://openalex.org/W4317215040","https://openalex.org/W4317750115","https://openalex.org/W4317932872","https://openalex.org/W4319301479","https://openalex.org/W4319731255","https://openalex.org/W4319756428","https://openalex.org/W4320485696","https://openalex.org/W4321377195","https://openalex.org/W4323046997","https://openalex.org/W4323305876","https://openalex.org/W4327716449","https://openalex.org/W4353056855","https://openalex.org/W4361283634","https://openalex.org/W4362590804","https://openalex.org/W4362696261","https://openalex.org/W4367042161","https://openalex.org/W4378229013","https://openalex.org/W4380551368","https://openalex.org/W4381251325","https://openalex.org/W4382242087","https://openalex.org/W4382462232","https://openalex.org/W4383497720","https://openalex.org/W4383709705","https://openalex.org/W4383906866","https://openalex.org/W4384028843","https://openalex.org/W4385564567","https://openalex.org/W4386575790","https://openalex.org/W4386921745","https://openalex.org/W4388827962","https://openalex.org/W4389953131","https://openalex.org/W4389991985","https://openalex.org/W4390583360","https://openalex.org/W4390607929","https://openalex.org/W4390793872","https://openalex.org/W4391133374","https://openalex.org/W4391347109","https://openalex.org/W4391841701","https://openalex.org/W4392199743","https://openalex.org/W4392450436","https://openalex.org/W4393859513","https://openalex.org/W4399106209","https://openalex.org/W4399172807"],"related_works":[],"abstract_inverted_index":{"The":[0,34,85],"human":[1],"microbiome":[2,38,66,82,88,132],"plays":[3],"a":[4,22,127],"critical":[5],"role":[6],"in":[7,15,97,131,141],"both":[8,71],"physical":[9],"and":[10,18,31,51,67,75,101,112,157],"mental":[11],"health,":[12],"with":[13,90],"alterations":[14],"its":[16],"composition":[17],"function":[19],"linked":[20],"to":[21,61,80,153],"wide":[23],"range":[24],"of":[25,37,44,87,115,137,147],"diseases,":[26,69],"including":[27],"neurological,":[28],"cardiovascular,":[29],"respiratory,":[30],"inflammatory":[32],"disorders.":[33],"rapid":[35],"growth":[36],"datasets":[39],"has":[40,93],"driven":[41],"the":[42,65,113,138,159],"application":[43],"artificial":[45],"intelligence":[46],"(AI)":[47],"for":[48,135,163],"disease":[49,165],"diagnostics":[50],"data-driven":[52],"analysis.":[53],"This":[54],"review":[55],"critically":[56],"examines":[57],"AI-based":[58],"approaches":[59,149],"used":[60,129],"investigate":[62],"associations":[63],"between":[64],"chronic":[68],"covering":[70],"classical":[72],"machine":[73],"learning":[74,77],"deep":[76],"methods":[78],"applied":[79],"diverse":[81],"profiling":[83],"data.":[84],"integration":[86],"data":[89],"AI":[91],"techniques":[92],"shown":[94],"promising":[95],"performance":[96],"identifying":[98],"disease-specific":[99],"signatures":[100],"improving":[102],"diagnostic":[103],"accuracy.":[104],"However,":[105],"significant":[106],"challenges":[107],"remain,":[108],"particularly":[109],"methodological":[110,148],"heterogeneity":[111],"lack":[114],"standardized":[116],"analytical":[117],"pipelines.":[118],"Notably,":[119],"16S":[120],"ribosomal":[121],"RNA":[122],"(16S":[123],"rRNA)":[124],"sequencing":[125],"remains":[126],"widely":[128],"approach":[130],"research,":[133],"accounting":[134],"37%":[136],"studies":[139],"included":[140],"this":[142],"review.":[143],"A":[144],"comparative":[145],"analysis":[146],"was":[150],"also":[151],"conducted":[152],"identify":[154],"research":[155],"gaps":[156],"evaluate":[158],"most":[160],"effective":[161],"strategies":[162],"microbiome-based":[164],"prediction.":[166]},"counts_by_year":[],"updated_date":"2026-06-19T17:40:00.097472","created_date":"2026-05-16T00:00:00"}
