{"id":6828,"date":"2026-10-19T09:53:36","date_gmt":"2026-10-19T07:53:36","guid":{"rendered":"https:\/\/www.mosaicfactor.com\/bnew-2026-tendencies-de-la-ia-sanitaria-medicina-de-precisio-i-ia-responsable\/"},"modified":"2026-10-19T11:13:02","modified_gmt":"2026-10-19T09:13:02","slug":"bnew-2026-tendencies-de-la-ia-sanitaria-medicina-de-precisio-i-ia-responsable","status":"publish","type":"post","link":"https:\/\/www.mosaicfactor.com\/ca\/bnew-2026-tendencies-de-la-ia-sanitaria-medicina-de-precisio-i-ia-responsable\/","title":{"rendered":"BNEW 2026: tend\u00e8ncies de la IA sanit\u00e0ria, medicina de precisi\u00f3 i IA responsable"},"content":{"rendered":"<p><span data-teams=\"true\">De la rob\u00f2tica i els <strong>bessons digitals<\/strong> fins a l\u2019<strong>an\u00e0lisi predictiva<\/strong> i la <strong>medicina de precisi\u00f3<\/strong>, <a href=\"https:\/\/www.bnewbarcelona.com\/\" target=\"_blank\" rel=\"noopener\"><strong>Barcelona New Economy Week (BNEW) 2026<\/strong><\/a> va posar en relleu <em>com la intel\u00b7lig\u00e8ncia artificial est\u00e0 transformant tots els sectors de l\u2019economia<\/em>. Per a Mosaic Factor, una empresa especialitzada en IA sanit\u00e0ria, anal\u00edtica avan\u00e7ada i solucions d\u2019IA fiables, l\u2019esdeveniment va oferir informaci\u00f3 valuosa sobre alguns dels reptes m\u00e9s importants als quals s\u2019enfronta avui la innovaci\u00f3 sanit\u00e0ria.<\/span><\/p>\n<h1>IA sanit\u00e0ria a BNEW 2026: medicina de precisi\u00f3, explicabilitat i mitigaci\u00f3 dels biaixos<\/h1>\n<div><span data-teams=\"true\">Entre les nombroses sessions centrades en la IA, els debats sobre longevitat, medicina personalitzada i diversitat de les dades van ser especialment rellevants. Aquests temes se situen en la intersecci\u00f3 de la IA sanit\u00e0ria, la intel\u00b7lig\u00e8ncia artificial explicable (XAI) i el desenvolupament responsable de la IA, i plantegen una pregunta fonamental tant per als investigadors com per als prove\u00efdors tecnol\u00f2gics: poden els sistemes d\u2019IA ser realment efica\u00e7os si falten poblacions clau en les dades utilitzades per entrenar-los?<\/span><\/div>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-6775\" src=\"https:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2026\/10\/BNEW-Health-MosaicFactor-300x173.webp\" alt=\"BNEW Healthcare AI\" width=\"300\" height=\"173\" \/><\/p>\n<p><span style=\"color: #333333; font-size: 26px;\">La IA al centre de la nova economia<\/span><\/p>\n<div>\n<p>La setena edici\u00f3 de Barcelona New Economy Week (BNEW) va tenir lloc del 5 al 7 d\u2019octubre de 2026 a DFactory Barcelona. Organitzat pel Consorci de la Zona Franca de Barcelona, l\u2019esdeveniment va reunir centenars d\u2019experts, innovadors i empreses emergents de vuit sectors: intel\u00b7lig\u00e8ncia artificial, salut, energia, agroalimentaci\u00f3, aviaci\u00f3 i espai, ci\u00e8ncia, talent i videojocs.<\/p>\n<p>Enguany, la intel\u00b7lig\u00e8ncia artificial va tenir per primera vegada un programa propi, despr\u00e9s de sis edicions en qu\u00e8 havia estat un tema transversal. Les sessions van explorar com la IA est\u00e0 transformant l\u2019ocupaci\u00f3, els models de negoci i els processos de presa de decisions, amb aportacions d\u2019organitzacions com el Barcelona Supercomputing Center, Oracle i Ibercaja.<\/p>\n<p>La influ\u00e8ncia de la IA va anar molt m\u00e9s enll\u00e0 del programa espec\u00edfic. El programa de Salut va mostrar l\u2019automatitzaci\u00f3 i la rob\u00f2tica quir\u00fargica en directe. Les sessions d\u2019Energia es van centrar en el paper creixent de les dades i la IA en la transici\u00f3 energ\u00e8tica. Arreu del recinte, robots humanoides, robots col\u00b7laboratius i simuladors de mobilitat aut\u00f2noma van demostrar la rapidesa amb qu\u00e8 la IA passa dels entorns de recerca a les aplicacions reals.<\/p>\n<p>Per a Mosaic Factor, BNEW va oferir una visi\u00f3 valuosa de cap a on avan\u00e7a la innovaci\u00f3 en IA en m\u00faltiples sectors. Molts dels temes tractats \u2014com ara la IA fiable, la qualitat de les dades, la rob\u00f2tica, l\u2019an\u00e0lisi predictiva i els bessons digitals\u2014 estan directament relacionats amb els reptes que abordem en els nostres projectes.<\/p>\n<h2>Tend\u00e8ncies d\u2019IA a BNEW 2026<\/h2>\n<p>En les sessions d\u2019IA, Salut, Energia i Ind\u00fastria van sorgir diversos temes comuns:<\/p>\n<ul>\n<li>Adopci\u00f3 creixent de sistemes de suport a la presa de decisions basats en IA.<\/li>\n<li>Demanda m\u00e9s gran d\u2019una IA explicable i fiable.<\/li>\n<li>\u00das m\u00e9s est\u00e8s de l\u2019an\u00e0lisi predictiva i dels bessons digitals.<\/li>\n<li>Integraci\u00f3 de dades multimodals per oferir serveis personalitzats.<\/li>\n<li>Gran atenci\u00f3 a la governan\u00e7a, la transpar\u00e8ncia i la regulaci\u00f3 de la IA.<\/li>\n<\/ul>\n<p>Aquestes tend\u00e8ncies coincideixen estretament amb les solucions que Mosaic Factor desenvolupa en els \u00e0mbits sanitari, de la mobilitat i de la ind\u00fastria.<\/p>\n<p>Tot i que la innovaci\u00f3 en IA era visible arreu de l\u2019esdeveniment, l\u2019atenci\u00f3 sanit\u00e0ria va destacar com un dels \u00e0mbits en qu\u00e8 s\u2019espera que la IA tingui m\u00e9s impacte, alhora que planteja algunes de les preguntes m\u00e9s importants sobre fiabilitat, explicabilitat i biaixos.<\/p>\n<h2>IA sanit\u00e0ria, recerca sobre la longevitat i medicina de precisi\u00f3<\/h2>\n<p>El 6 d\u2019octubre, la sessi\u00f3 de Salut de BNEW \u00ab<em>Longevity and Healthy Aging: Strategies for a Longer-Lived Society<\/em>\u00bb va reunir investigadors i professionals cl\u00ednics que treballen en gen\u00e8tica, neuroci\u00e8ncia i nutrici\u00f3 integrativa.<\/p>\n<p>M\u00e9s enll\u00e0 de la longevitat en si, el debat va posar en relleu tend\u00e8ncies m\u00e9s \u00e0mplies que estan configurant el futur de la IA sanit\u00e0ria:<\/p>\n<ul>\n<li>La transici\u00f3 cap a la medicina de precisi\u00f3.<\/li>\n<li>La integraci\u00f3 de fonts de dades multimodals.<\/li>\n<li>La import\u00e0ncia de la diversitat de les dades tant en la recerca cl\u00ednica com en els sistemes d\u2019aprenentatge autom\u00e0tic.<\/li>\n<\/ul>\n<p>La taula rodona va abordar tres aven\u00e7os amb implicacions directes per a la IA sanit\u00e0ria:<\/p>\n<ol>\n<li><strong>Epigen\u00e8tica<\/strong>: l\u2019estil de vida i l\u2019entorn influeixen en la manera com s\u2019expressen els gens.<\/li>\n<li><strong>Tractament personalitzat i multimodal<\/strong>: combinaci\u00f3 d\u2019intervencions adaptades a cada persona.<\/li>\n<li><strong>Representativitat de les dades<\/strong>: necessitat de disposar de poblacions de recerca i conjunts de dades m\u00e9s diversos.<\/li>\n<\/ol>\n<p>Cadascun d\u2019aquests reptes est\u00e0 estretament relacionat amb la feina de Mosaic Factor en an\u00e0lisi predictiva i sistemes de suport a les decisions cl\u00edniques, en qu\u00e8 la fiabilitat dels models dep\u00e8n de la qualitat, la diversitat i la representativitat de les dades disponibles.<\/p>\n<p>. <img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-6776\" src=\"https:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2026\/10\/BNEW-Health-MosaicFactor-2-1-300x187.webp\" alt=\"BNEW Healthcare AI\" width=\"300\" height=\"187\" \/><\/p>\n<h2>Gen\u00e8tica i epigen\u00e8tica: com l\u2019estil de vida influeix en l\u2019expressi\u00f3 g\u00e8nica<\/h2>\n<p>Un dels participants a la taula rodona va utilitzar l\u2019analogia d\u2019un joc de cartes per explicar la relaci\u00f3 entre gen\u00e8tica i epigen\u00e8tica. Cada persona rep una m\u00e0 de cartes en n\u00e9ixer i hereta la meitat dels gens de cada progenitor. Aquestes cartes no es poden canviar, per\u00f2 s\u00ed la manera de jugar-les.<\/p>\n<p>L\u2019epigen\u00e8tica descriu com els factors ambientals i de l\u2019estil de vida influeixen en el fet que determinats gens s\u2019activin o romanguin silenciats. L\u2019activitat f\u00edsica, l\u2019alimentaci\u00f3, la qualitat del son i la gesti\u00f3 de l\u2019estr\u00e8s tenen un paper important en els resultats de salut a llarg termini.<\/p>\n<p>En el debat es va assenyalar que una proporci\u00f3 considerable dels casos de dem\u00e8ncia est\u00e0 associada a factors de risc modificables. Cada vegada hi ha m\u00e9s recerca que mostra que l\u2019envelliment saludable no es pot explicar \u00fanicament per la gen\u00e8tica. M\u00e9s aviat, sorgeix de la interacci\u00f3 entre les predisposicions gen\u00e8tiques, les decisions relacionades amb l\u2019estil de vida i les condicions ambientals al llarg de la vida.<\/p>\n<p>En l\u2019\u00e0mbit de la IA sanit\u00e0ria, aix\u00f2 refor\u00e7a la necessitat de models capa\u00e7os d\u2019integrar m\u00faltiples fonts d\u2019informaci\u00f3, en lloc de dependre d\u2019una sola variable o d\u2019un \u00fanic conjunt de dades.<\/p>\n<h2>Tractament personalitzat i multimodal per a un envelliment saludable<\/h2>\n<p>La taula rodona va remarcar que cap intervenci\u00f3 per si sola no pot abordar efica\u00e7ment l\u2019envelliment. Les estrat\u00e8gies m\u00e9s prometedores s\u00f3n multimodals: combinen diferents enfocaments terap\u00e8utics i els adapten a les caracter\u00edstiques de cada persona.<\/p>\n<p>El sexe biol\u00f2gic, l\u2019ascend\u00e8ncia, l\u2019edat i els antecedents cl\u00ednics influeixen en la resposta dels pacients a les malalties i als tractaments. Per aix\u00f2, la recerca sobre longevitat convergeix cada vegada m\u00e9s amb els principis de la medicina de precisi\u00f3, que t\u00e9 com a objectiu oferir la intervenci\u00f3 adequada al pacient adequat en el moment adequat.<\/p>\n<p>Aquest mateix canvi de paradigma est\u00e0 transformant la IA sanit\u00e0ria. Els sistemes moderns d\u2019IA han d\u2019integrar cada vegada m\u00e9s dades cl\u00edniques, gen\u00f2miques, d\u2019imatges i de comportament per donar suport a recomanacions m\u00e9s personalitzades i rellevants.<\/p>\n<h2>Biaixos en la IA sanit\u00e0ria: per qu\u00e8 \u00e9s important la diversitat de les dades<\/h2>\n<p>La conclusi\u00f3 m\u00e9s significativa per a Mosaic Factor tenia a veure amb la <strong><em>composici\u00f3 dels conjunts de dades que sustenten tant la recerca cl\u00ednica com els models d\u2019IA<\/em><\/strong>.<\/p>\n<p>Segons els ponents, bona part del coneixement actual sobre l\u2019envelliment continua derivant d\u2019estudis amb persones d\u2019ascend\u00e8ncia europea. Altres poblacions continuen estant relativament infrarepresentades, malgrat la seva considerable diversitat gen\u00e8tica. Aix\u00f2 t\u00e9 conseq\u00fc\u00e8ncies pr\u00e0ctiques: els tractaments i les intervencions que funcionen b\u00e9 en una poblaci\u00f3 poden no donar els mateixos resultats en una altra.<\/p>\n<p>El mateix repte s\u2019aplica directament a la IA sanit\u00e0ria.<\/p>\n<p>Un model d\u2019aprenentatge autom\u00e0tic nom\u00e9s pot aprendre de les dades amb qu\u00e8 s\u2019entrena. Si determinades poblacions estan infrarepresentades, el model pot obtenir un bon rendiment mitj\u00e0 i, tot i aix\u00ed, ser sistem\u00e0ticament menys prec\u00eds per a alguns grups. En l\u2019\u00e0mbit sanitari, aix\u00f2 pot contribuir a resultats cl\u00ednics desiguals i a una confian\u00e7a m\u00e9s baixa en els sistemes d\u2019IA.<\/p>\n<p>A mesura que la IA s\u2019integra cada vegada m\u00e9s en els fluxos de treball cl\u00ednics, garantir la qualitat i la representativitat de les dades deixa de ser nom\u00e9s un repte t\u00e8cnic i esdev\u00e9 tamb\u00e9 una exig\u00e8ncia \u00e8tica i normativa.<\/p>\n<h2>Com desenvolupem una IA sanit\u00e0ria fiable a Mosaic Factor<\/h2>\n<p>A Mosaic Factor, una IA sanit\u00e0ria fiable comen\u00e7a amb la qualitat de les dades, l\u2019explicabilitat i una validaci\u00f3 rigorosa. A mesura que les organitzacions sanit\u00e0ries adopten sistemes de suport a la presa de decisions basats en IA, reduir els biaixos i garantir la transpar\u00e8ncia esdev\u00e9 essencial tant per a la confian\u00e7a cl\u00ednica com per al compliment normatiu.<\/p>\n<p>El nostre enfocament es basa en cinc pr\u00e0ctiques fonamentals:<\/p>\n<ol>\n<li><strong>Avaluar la representativitat des del principi<\/strong>. Abans de desenvolupar un model, analitzem qui est\u00e0 incl\u00f2s en el conjunt de dades i qui hi falta, tenint en compte factors com el sexe, l\u2019edat, l\u2019ascend\u00e8ncia i el perfil cl\u00ednic.<\/li>\n<li><strong>Validar el rendiment per subgrups<\/strong>. La precisi\u00f3 global no \u00e9s suficient. Avaluem com funcionen els models en diferents poblacions per identificar possibles desigualtats abans de desplegar-los.<\/li>\n<li><strong>Explicar cada predicci\u00f3<\/strong>. Mitjan\u00e7ant la IA explicable (XAI), els professionals sanitaris poden comprendre quins factors han contribu\u00eft m\u00e9s a una predicci\u00f3 i incorporar aquesta informaci\u00f3 al seu criteri cl\u00ednic.<\/li>\n<li><strong>Comunicar la incertesa<\/strong>. Busquem quantificar i comunicar els nivells de confian\u00e7a dels resultats dels models. Aquest principi tamb\u00e9 guia la nostra feina fora de l\u2019\u00e0mbit sanitari, incloses les aplicacions de previsi\u00f3 d\u2019energia i autonomia desenvolupades dins del <a href=\"https:\/\/www.mosaicfactor.com\/ca\/projects\/twin-loop\/\">projecte Twin-Loop<\/a>. Els sistemes d\u2019IA haurien de poder indicar quan operen fora de les condicions representades en les dades d\u2019entrenament.<\/li>\n<li><strong>Col\u00b7laborar amb socis cl\u00ednics i de recerca<\/strong>. Treballar estretament amb hospitals, centres de recerca i professionals cl\u00ednics ajuda a garantir que les solucions d\u2019IA continu\u00efn sent pertinents, estiguin validades i se centrin en l\u2019expertesa humana.<\/li>\n<\/ol>\n<h2>Medicina de precisi\u00f3 i IA responsable: un repte compartit<\/h2>\n<p>BNEW 2026 va refor\u00e7ar un missatge visible en els programes d\u2019IA, Salut i Ind\u00fastria: les organitzacions estan passant d\u2019explorar qu\u00e8 pot fer la IA a desplegar sistemes que han de ser fiables, explicables i capa\u00e7os de funcionar en entorns reals complexos.<\/p>\n<p>En l\u2019\u00e0mbit sanitari, aix\u00f2 significa combinar el potencial de la medicina de precisi\u00f3 amb enfocaments rigorosos sobre la qualitat de les dades, la transpar\u00e8ncia i la mitigaci\u00f3 dels biaixos. Els mateixos fonaments que afavoreixen una recerca millor tamb\u00e9 permeten una IA millor.<\/p>\n<p>El futur de la IA sanit\u00e0ria dependr\u00e0 no nom\u00e9s d\u2019algoritmes m\u00e9s potents, sin\u00f3 tamb\u00e9 de dades millors, m\u00e9s transpar\u00e8ncia i una col\u00b7laboraci\u00f3 m\u00e9s s\u00f2lida entre professionals cl\u00ednics, investigadors i prove\u00efdors tecnol\u00f2gics.<\/p>\n<p>A Mosaic Factor, aquests principis guien el disseny i el desplegament de les nostres solucions d\u2019IA sanit\u00e0ria, des de l\u2019an\u00e0lisi predictiva i les eines de suport a les decisions fins a les aplicacions d\u2019IA explicable desenvolupades conjuntament amb organitzacions sanit\u00e0ries i de recerca.<\/p>\n<p>Esdeveniments com BNEW ens ajuden a mantenir-nos al corrent de les \u00faltimes innovacions en IA, les regulacions emergents i els aven\u00e7os cient\u00edfics que configuraran el futur de l\u2019atenci\u00f3 sanit\u00e0ria basada en dades.<\/p>\n<p>Agra\u00efm al Consorci de la Zona Franca de Barcelona i a tots els ponents aquest esdeveniment tan enriquidor, i esperem continuar aquestes converses a mesura que s\u2019accelera l\u2019adopci\u00f3 de la IA en l\u2019atenci\u00f3 sanit\u00e0ria i en altres sectors essencials.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>El nostre equip explora les principals tend\u00e8ncies d&#8217;IA en salut presentades al BNEW 2026: medicina de precisi\u00f3, tractaments personalitzats i multimodals per a un envelliment saludable<\/p>\n","protected":false},"author":2,"featured_media":6827,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"categories":[217,216,213,198,192,212],"tags":[],"class_list":["post-6828","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-digital-twins-ca","category-events-ca","category-healthcare-ca","category-llms-ca","category-models-predictius","category-trustworthy-ia-ca"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Mosaic Factor | BNEW 2026 tend\u00e8ncies IA salut<\/title>\n<meta name=\"description\" content=\"Descobreix les tend\u00e8ncies en IA per a la salut presentades a BNEW 2026: medicina de precisi\u00f3 i sistemes de salut 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