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Autoimmune diseases present predominantly nonspecific symptoms, making diagnosis difficult. Clinical decision support systems can improve and expedite precise diagnostics, but integration and encoding of multi-omics data with clinical values are challenging and standards are lacking, limiting such systems. An integration pipeline enables machine-learning patient classification using multi-omics plus clinical and laboratory results, achieving up to 96% prediction accuracy.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/machine-learning-for-precision-diagnostics-of-autoimmunity/290483/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/machine-learning-for-precision-diagnostics-of-autoimmunity/290483.png","ImageObject",300,407,{"name":92,"@type":93},"Rowan","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-18","2026-09-17",true,{"@type":102,"interactionType":103,"userInteractionCount":39},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"Why is diagnosis of autoimmune diseases challenging?","Question",{"text":112,"@type":113},"Autoimmune diseases often show predominantly nonspecific symptoms, making accurate diagnosis difficult.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What approach does the document propose for precision diagnostics?",{"text":117,"@type":113},"It proposes an integration pipeline that combines multi-omics data with clinical values and laboratory results for machine-learning-based patient classification.",{"name":119,"@type":110,"acceptedAnswer":120},"How accurate are the machine learning models reported in the document?",{"text":121,"@type":113},"The framework achieved up to 96% prediction accuracy for autoimmune diseases.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},290483,1789641793,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":39,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":129,"read_time":144,"preview_page_count":4},1099514067415,"https://ap-avatar.wpscdn.com/avatar/100002539d78ffe74a7?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779092875211072502","[www. nature. com/scienti](www. nature. com/scienti)􀁁ic reports  \nOPEN  \nMachine learning for precision diagnostics of autoimmunity  \nJan Kruta1, Raphael Carapito2,3, Marten Trendelenburg4, Thierry Martin2, Marta Rizzi5, Reinhard E. Voll5, Andrea Cavalli6, Eriberto Natali1, Patrick Meier1, Marc Stawiski1, Johannes Mosbacher1, Annette Mollet7, Aurelia Santoro8, Miriam Capri8, Enrico Giampieri8, Erik Schkommodau1 & Enkelejda Miho1,9,10􀀡  \nEarly and accurate diagnosis is crucial to prevent disease development and de􀀾ne therapeutic strategies. Due to predominantly unspeci􀀾c symptoms, diagnosis o􀁂 autoimmune diseases (AID) is notoriously challenging. Clinical decision support systems (CDSS) are a promising method with the potential to enhance and expedite precise diagnostics by physicians. However, due to the di􀁍culties of integrating and encoding multi-omics data with clinical values, as well as a lack of standardization, such systems are often limited to certain data types. Accordingly, even sophisticated data models fall short when making accurate disease diagnoses and presenting data analyses in a user-friendly form. Therefore, the integration of various data types is not only an opportunity but also a competitive advantage for research and industry. We have developed an integration pipeline to enable the use o􀁂 machine learning 􀁂or patient classi􀀾cation based on multi-omics data in combination with clinical values and laboratory results. The application o􀁂 our 􀁂ramework resulted in up to 96% prediction accuracy of autoimmune diseases with machine learning models. Our results deliver insights into autoimmune disease research and have the potential to be adapted for applications across disease conditions.  \nKeywords Ltksh, nlhbr+ @tsnhlltmd+ L‘bghmd kd‘qmhmf+ DGQ+ Ch‘fmnrshbr  \n@tsnhlltmd chrd‘rdr ’@HCr(‘􀀡dbs ‘ooqnwhl‘sdkx 6$ nesgd onotk‘shnm0+1- 􀀢d o‘rs svn cdb‘cdr g‘ud vhsmdrrdc‘m hmbqd‘rhmf hmbhcdmbd ne @HCr1fl3 qdrtkshmf hm ‘m ‘mmt‘k bnrs ne \\# 03 ahkkhnm sn gd‘ksgb‘qd rxrsdlr2+4- 􀀢hrchudqrd fqnto ne chrd‘rdr hr ‘lnmf sgd lnrs bg‘kkdmfhmf sn ch‘fmnrd ‘mc sgdx n􀀤dm qdl‘hm tmch‘fmnrdc tmshkoqnfqdrrhnm sn ‘m ‘cu‘mbdc rs‘fd- @r ‘ qdrtks+ sgd chrd‘rd qdl‘hmr tmsqd‘sdc enq ‘ knmf shld ‘mc b‘m oqnfqdrr bnmshmtntrkx+ vghkd o‘shdmsr e‘bd ghfg , hlo‘bs gd‘ksg bnmrdptdmbdr5- @HCr ‘qd bnmudmshnm‘kkx bk‘rrh􀀥dc a‘rdc nm sgd hmunkudc nqf‘m nq rxrsdl6+ kd‘chmf sn nudq 0// bkhmhb‘kkx chrshmbs chrnqcdqr- Ghrsnqhb‘kkx+ @HCr g‘ud addm sqd‘sdc ‘r chrshmbs dmshshdr+ o‘qskx ctd sn sgdhq l‘m‘fdldms ax rodbh‘khydc ldchb‘k chrbhokhmdr- Gnvdudq+ sgd dldqfdmbd ne bnloqdgdmrhud nlhbr c‘s‘ g‘r e‘bhkhs‘sdc ‘ lnqd oqdbhrd tmcdqrs‘mchmf ne @HCr- Lnkdbtk‘qfdmnlhb+ hlltmnlhb ‘mc lds‘anknlhb oqn􀀥kdr g‘ud sgd onsdmsh‘k sn rdqud ‘r d‘qkx ahnl‘qjdqr enq ch‘fmnrhr‘mc dm‘akd oqnlos sgdq‘odtshb‘k hmsdqudmshnm7fl01- Gnvdudq+ sgd hmsdfq‘shnm ‘mc hmsdqnodq‘shnm ne nlhbr c‘s‘‘qd nars‘bkdr sn sgd sq‘mrhshnm sn odqrnm‘khydc ldchbhmd- 􀀢d ansskdmdbj hm nlhbr sdbgmhptdr hr mns ctd sn c‘s‘fdmdq‘shnm+ ats q‘sgdq sn bnmrsq‘hmsr hm c‘s‘ l‘m‘fdldms+ hmsdfq‘shnm+ ‘m‘kxrhr+ uhrt‘khy‘shnm ‘mc hmsdqoqds‘shnm-􀀢drd khlhs‘shnmr g‘ud b‘trdc ‘ rtars‘msh‘k cdk‘x hm sgd oqnfqdrr ne nlhbr nudq sgd o‘rs cdb‘cd- @m ‘cchshnm‘k bg‘kkdmfd hr sgd hcdmsh􀀥b‘shnm ne ld‘mhmfetk ‘mc hmsdqoqds‘akd qdk‘shnmrghor vhsghm hmsdfq‘sdc nlhbr c‘s‘02-@m‘kxshb‘k ohodkhmdr enq d‘bg sxod ne nlhbr c‘s‘ ‘qd ‘kqd‘cx ‘u‘hk‘akd+ ‘mc ltksh, nlhbr ‘ooqn‘bgdr ‘qd adhmfcdudknodc enq ‘ vhcd q‘mfd ne ahnknfhb‘k oqnakdlr03- Gnvdudq+ bnlahmhmf bkhmhb‘k+ k‘anq‘snqx+ ‘mc nlhbr c‘s‘  \n1School of Life Sciences, FHNW University of Applied Sciences and Arts Northwestern Switzerland, Hofackerstrasse  \n30, Muttenz 4132, Switzerland. 2Laboratoire d’ImmunoRhumatologie Moléculaire, plate􀁁orme GENOMAX, Faculté de Médecine, Fédération de MédecineTranslationnelle de Strasbourg (FMTS), InstitutThématique Interdisciplinaire TRANSPLANTEX NG, INSERM UMR_S 1109, Fédération Hospitalo-Universitaire OMICARE, Université de Strasbourg, 4 rue Kirschleger","cbCaicCC30e0bl2e","https://ap.wps.com/l/cbCaicCC30e0bl2e","pdf",6945553,15,"English","# Introduction\n## Clinical decision support limits\n## Proposed integration pipeline\n# Results\n## Prediction accuracy for autoimmune diseases\n# Discussion\n## Research insights and adaptation","[{\"question\":\"Why is diagnosis of autoimmune diseases challenging?\",\"answer\":\"Autoimmune diseases often show predominantly nonspecific symptoms, making accurate diagnosis difficult.\"},{\"question\":\"What approach does the document propose for precision diagnostics?\",\"answer\":\"It proposes an integration pipeline that combines multi-omics data with clinical values and laboratory results for machine-learning-based patient classification.\"},{\"question\":\"How accurate are the machine learning models reported in the document?\",\"answer\":\"The framework achieved up to 96% prediction accuracy for autoimmune diseases.\"}]","Machine learning for precision diagnostics of autoimmunity | PDF",38]