{"id":2397,"date":"2015-03-04T00:00:00","date_gmt":"2015-03-04T00:00:00","guid":{"rendered":"https:\/\/blog.caixaresearch.org\/?p=2397"},"modified":"2020-05-05T08:34:14","modified_gmt":"2020-05-05T08:34:14","slug":"la-importancia-del-big-data-en-biomedicina","status":"publish","type":"post","link":"https:\/\/blog.caixaresearch.org\/ca\/la-importancia-del-big-data-en-biomedicina\/","title":{"rendered":"La import\u00e0ncia del big data en biomedicina"},"content":{"rendered":"

<\/p>\n

\n

Post de la Dra. Ana Ripoll<\/strong>, presidenta de Bioinformatics Barcelona (BIB), i Eva Alloza, t\u00e8cnica de comunicaci\u00f3 de Bioinformatics Barcelona (BIB).<\/span><\/p>\n

Ets tres mil milions de lletres! El teu genoma ocupa el que equivaldria a una pel\u00b7l\u00edcula en alta definici\u00f3 i el podries portar dintre d’un llapis de mem\u00f2ria. Que el teu genoma ocupi 3 GB podria semblar poc, per\u00f2 seria tan sols un dels elements del teu registre cl\u00ednic que s’amplia amb cadascun dels esdeveniments assistencials. Per exemple, quan el metge de cap\u00e7alera et fa una an\u00e0lisi de sang, quan a l’hospital et fan una resson\u00e0ncia, o b\u00e9, en el cas que siguis diab\u00e8tic, quan registres els nivells de glucosa en una aplicaci\u00f3 al m\u00f2bil. Arribats a aquest punt sembla que la teva pel\u00b7l\u00edcula d’alta definici\u00f3 ja ocupa for\u00e7a m\u00e9s del que cap en un llapis de mem\u00f2ria. Els ciutadans, ajudats per les noves tecnologies, generem en l’\u00e0mbit biom\u00e8dic un gran volum de dades que malauradament estan disperses, desconnectades, en diversos formats i, fins i tot, en algun cas, sense digitalitzar.<\/p>\n

Ja que disposem d’aquest gran volum de dades (big data), qu\u00e8 en podem fer? El m\u00e9s raonable seria utilitzar-lo i treure’n profit per avan\u00e7ar en el coneixement biom\u00e8dic que permeti traslladar el focus cap a una medicina centrada en el pacient. Aix\u00ed, estudiar i comparar tots els registres d’una persona en el context geogr\u00e0fic, de divisi\u00f3 territorial o de l’\u00e0rea d’influ\u00e8ncia d’una malaltia permetr\u00e0 millorar els processos de detecci\u00f3, diagnosi, tractament i prevenci\u00f3 de les malalties. La medicina personalitzada, tamb\u00e9 anomenada individualitzada o de precisi\u00f3, es basa en aquest big data biom\u00e8dic per decidir l’administraci\u00f3 del medicament o el conjunt de medicaments m\u00e9s adient, en les dosis ajustades a les particularitats gen\u00e8tiques i qu\u00edmiques de cada persona o poblaci\u00f3, de manera que es redueixin els efectes secundaris que puguin provocar. Aix\u00ed, la medicina individualitzada ajudar\u00e0 les persones a superar o mitigar les malalties o els desordres escrits en el seu genoma.<\/p>\n

\"\"<\/div>\n
Moment del B-Debate sobre big data en biomedicina. Font: \u00a9Biocat, Bioregi\u00f3 de Catalunya \u2013 Hector Fuentes. <\/span><\/div>\n

\u00c9s obvi que disposem de les dades, per\u00f2 tamb\u00e9 s\u00f3n necess\u00e0ries la investigaci\u00f3 i l’aplicaci\u00f3 de millores en la capacitat per recollir, emmagatzemar, organitzar, integrar, analitzar i compartir el big data biom\u00e8dic. A m\u00e9s, es requeriran noves arquitectures computacionals, t\u00e8cniques, algoritmes i an\u00e0lisis per gestionar aquesta riquesa de dades per extreure’n valor i detectar coneixement ocult. Aix\u00f2 s\u00ed, posant les mesures adients per assegurar que es respecten aspectes socials com ara la privacitat i la protecci\u00f3 de les dades.<\/p>\n

Aquesta gesti\u00f3 del big data, amb la formaci\u00f3 i la tecnologia necess\u00e0ries, ha de produir nou coneixement que es pugui traslladar a la pr\u00e0ctica cl\u00ednica i que millori l’efici\u00e8ncia del sistema sanitari. Aquestes reflexions i d’altres sobre la recerca m\u00e9s actual relativa al big data en el camp de la biomedicina es van poder tractar a les jornades \u00abBig Data in Biomedicine. Challenges and Opportunities<\/a>\u00bb, coorganitzades per Bioinformatics Barcelona<\/a> (BIB) i B-Debate<\/a>, iniciativa de Biocat<\/a> i de l’Obra Social “la Caixa”<\/a>, el passat mes de novembre a CosmoCaixa.<\/p>\n

\"\"<\/div>\n
Presentaci\u00f3 del B-Debate sobre big data en biomedicina. Font: \u00a9Biocat, Bioregi\u00f3 de Catalunya \u2013 Hector Fuentes.<\/span><\/div>\n<\/p><\/div>\n

<\/body><\/html><\/p>\n","protected":false},"excerpt":{"rendered":"<\/p>\n

Post de la Dra. Ana Ripoll, presidenta de Bioinformatics Barcelona (BIB), i Eva Alloza, t\u00e8cnica de comunicaci\u00f3 de Bioinformatics Barcelona (BIB).<\/p>\n

Ets tres mil milions de lletres! El teu genoma ocupa el que equivaldria a una pel\u00b7l\u00edcula en alta definici\u00f3 i el podries portar dintre d’un llapis de mem\u00f2ria. Que el teu genoma ocupi 3 GB podria semblar poc, per\u00f2 seria tan sols un dels elements del teu registre cl\u00ednic que s’amplia amb cadascun dels esdeveniments assistencials. Per exemple, quan el metge de cap\u00e7alera et fa una an\u00e0lisi de sang, quan a l’hospital et fan una resson\u00e0ncia, o b\u00e9, en el cas que siguis diab\u00e8tic, quan registres els nivells de glucosa en una aplicaci\u00f3 al m\u00f2bil.<\/p>\n","protected":false},"author":1,"featured_media":2568,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[519],"tags":[],"class_list":["post-2397","post","type-post","status-publish","format-standard","hentry","category-investigacio"],"acf":[],"yoast_head":"\nLa import\u00e0ncia del big data en biomedicina - Blog CaixaCi\u00e8ncia<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blog.caixaresearch.org\/ca\/la-importancia-del-big-data-en-biomedicina\/\" \/>\n<meta property=\"og:locale\" content=\"ca_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"La import\u00e0ncia del big data en biomedicina - Blog CaixaCi\u00e8ncia\" \/>\n<meta property=\"og:description\" content=\"Post de la Dra. Ana Ripoll, presidenta de Bioinformatics Barcelona (BIB), i Eva Alloza, t\u00e8cnica de comunicaci\u00f3 de Bioinformatics Barcelona (BIB). Ets tres mil milions de lletres! El teu genoma ocupa el que equivaldria a una pel\u00b7l\u00edcula en alta definici\u00f3 i el podries portar dintre d’un llapis de mem\u00f2ria. Que el teu genoma ocupi 3 GB podria semblar poc, per\u00f2 seria tan sols un dels elements del teu registre cl\u00ednic que s’amplia amb cadascun dels esdeveniments assistencials. Per exemple, quan el metge de cap\u00e7alera et fa una an\u00e0lisi de sang, quan a l’hospital et fan una resson\u00e0ncia, o b\u00e9, en el cas que siguis diab\u00e8tic, quan registres els nivells de glucosa en una aplicaci\u00f3 al m\u00f2bil.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/blog.caixaresearch.org\/ca\/la-importancia-del-big-data-en-biomedicina\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog CaixaCi\u00e8ncia\" \/>\n<meta property=\"article:published_time\" content=\"2015-03-04T00:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2020-05-05T08:34:14+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/blog.caixaresearch.org\/wp-content\/uploads\/2020\/04\/ca\/BigData_BiB.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"400\" \/>\n\t<meta property=\"og:image:height\" content=\"239\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"La Caixa\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Escrit per\" \/>\n\t<meta name=\"twitter:data1\" content=\"La Caixa\" \/>\n\t<meta name=\"twitter:label2\" content=\"Temps estimat de lectura\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minuts\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/blog.caixaresearch.org\/ca\/la-importancia-del-big-data-en-biomedicina\/\",\"url\":\"https:\/\/blog.caixaresearch.org\/ca\/la-importancia-del-big-data-en-biomedicina\/\",\"name\":\"La import\u00e0ncia del big data en biomedicina - Blog CaixaCi\u00e8ncia\",\"isPartOf\":{\"@id\":\"https:\/\/blog.caixaresearch.org\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/blog.caixaresearch.org\/ca\/la-importancia-del-big-data-en-biomedicina\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/blog.caixaresearch.org\/ca\/la-importancia-del-big-data-en-biomedicina\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/blog.caixaresearch.org\/wp-content\/uploads\/2020\/04\/ca\/BigData_BiB.jpg\",\"datePublished\":\"2015-03-04T00:00:00+00:00\",\"dateModified\":\"2020-05-05T08:34:14+00:00\",\"author\":{\"@id\":\"https:\/\/blog.caixaresearch.org\/#\/schema\/person\/c4ed33a98e6581c876664e7035da245a\"},\"inLanguage\":\"ca\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/blog.caixaresearch.org\/ca\/la-importancia-del-big-data-en-biomedicina\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"ca\",\"@id\":\"https:\/\/blog.caixaresearch.org\/ca\/la-importancia-del-big-data-en-biomedicina\/#primaryimage\",\"url\":\"https:\/\/blog.caixaresearch.org\/wp-content\/uploads\/2020\/04\/ca\/BigData_BiB.jpg\",\"contentUrl\":\"https:\/\/blog.caixaresearch.org\/wp-content\/uploads\/2020\/04\/ca\/BigData_BiB.jpg\",\"width\":400,\"height\":239},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/blog.caixaresearch.org\/#website\",\"url\":\"https:\/\/blog.caixaresearch.org\/\",\"name\":\"Blog CaixaCi\u00e8ncia\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/blog.caixaresearch.org\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"ca\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/blog.caixaresearch.org\/#\/schema\/person\/c4ed33a98e6581c876664e7035da245a\",\"name\":\"La Caixa\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ca\",\"@id\":\"https:\/\/blog.caixaresearch.org\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/d49b93050814699a8c78e1e6223735d5?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/d49b93050814699a8c78e1e6223735d5?s=96&d=mm&r=g\",\"caption\":\"La Caixa\"},\"sameAs\":[\"https:\/\/blog.caixaresearch.org\"],\"url\":\"https:\/\/blog.caixaresearch.org\/ca\/author\/caixaciencialamagnetica-net\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"La import\u00e0ncia del big data en biomedicina - Blog CaixaCi\u00e8ncia","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/blog.caixaresearch.org\/ca\/la-importancia-del-big-data-en-biomedicina\/","og_locale":"ca_ES","og_type":"article","og_title":"La import\u00e0ncia del big data en biomedicina - Blog CaixaCi\u00e8ncia","og_description":"Post de la Dra. 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