{"id":118209,"date":"2026-06-24T18:50:35","date_gmt":"2026-06-24T18:50:35","guid":{"rendered":"https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/?p=118209"},"modified":"2026-06-24T18:50:36","modified_gmt":"2026-06-24T18:50:36","slug":"ia-e-scoperta-di-farmaci-progressi-e-limiti-della-rivoluzione","status":"publish","type":"post","link":"https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/ia-e-scoperta-di-farmaci-progressi-e-limiti-della-rivoluzione\/","title":{"rendered":"IA e scoperta di farmaci: progressi e limiti della rivoluzione"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>Documento:<\/strong> revisione narrativa critica peer-reviewed, pubblicata nel giugno 2026 su <em>Drug Design, Development and Therapy<\/em> (DOI: 10.2147\/DDDT.S607228).<br><strong>Download:<\/strong> <a href=\"https:\/\/www.dovepress.com\/artificial-intelligence-in-selected-domains-of-drug-discovery-a-critic-peer-reviewed-fulltext-article-DDDT\" target=\"_blank\" rel=\"noreferrer noopener\">Scarica l\u2019articolo scientifico in PDF<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>L\u2019intelligenza artificiale sta accelerando lo screening delle molecole e l\u2019ottimizzazione dei candidati farmaci, ma il passaggio dai risultati informatici alle terapie cliniche rimane ancora il principale ostacolo.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">L\u2019intelligenza artificiale \u00e8 diventata uno strumento concreto nelle prime fasi della scoperta di farmaci. \u00c8 quanto emerge dalla revisione critica firmata da Marwah I. Bin Abdulqader, Abdulrhman A. Alsaqabi, Afrah E. Mohammed e Sahar S. Alghamdi, che analizza applicazioni sviluppate tra il 2000 e il 2026.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">La ricerca esamina machine learning e deep learning impiegati nella progettazione di <strong>antibiotici, farmaci antitumorali, anticorpi terapeutici e piccole molecole<\/strong>. Gli algoritmi possono esplorare grandi spazi chimici, effettuare screening virtuali, prevedere alcune propriet\u00e0 dei composti e selezionare i candidati pi\u00f9 promettenti prima della sintesi fisica.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Secondo gli autori, il beneficio pi\u00f9 documentato riguarda l\u2019aumento dell\u2019efficienza computazionale e della capacit\u00e0 di formulare ipotesi. L\u2019IA pu\u00f2 quindi ridurre esperimenti preliminari poco promettenti e sostenere il lavoro dei chimici farmaceutici. Non rappresenta per\u00f2 un sistema autonomo capace di certificare efficacia e sicurezza.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">La revisione individua infatti un significativo <strong>divario traslazionale<\/strong>: molte applicazioni rimangono confinate agli ambienti computazionali, senza validazioni prospettiche sufficienti. Qualit\u00e0 e rappresentativit\u00e0 dei dati, opacit\u00e0 dei modelli e scarsa riproducibilit\u00e0 possono produrre previsioni fuorvianti. Restano indispensabili esperimenti in vitro, studi in vivo e sperimentazioni cliniche.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">La direzione indicata coincide con i dieci principi pubblicati nel gennaio 2026 da FDA ed EMA: centralit\u00e0 umana, governance dei dati, valutazione proporzionata al rischio, documentazione, monitoraggio e chiarezza del contesto d\u2019uso.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Cronologia essenziale<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>2000-2026:<\/strong> periodo coperto dalla letteratura selezionata nella revisione.<\/li>\n\n\n\n<li><strong>2021:<\/strong> l\u2019OMS pubblica sei principi per un\u2019IA sanitaria orientata al bene pubblico.<\/li>\n\n\n\n<li><strong>2023:<\/strong> la FDA apre il confronto sull\u2019impiego di AI e machine learning nello sviluppo farmaceutico.<\/li>\n\n\n\n<li><strong>2024:<\/strong> l\u2019EMA pubblica il documento definitivo sull\u2019IA nel ciclo di vita dei medicinali.<\/li>\n\n\n\n<li><strong>2025:<\/strong> la FDA propone un quadro basato sul rischio per le decisioni regolatorie.<\/li>\n\n\n\n<li><strong>Gennaio 2026:<\/strong> FDA ed EMA adottano dieci principi comuni di buona pratica.<\/li>\n\n\n\n<li><strong>Giugno 2026:<\/strong> viene pubblicata la nuova revisione critica.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Approfondimenti:<\/strong> <a target=\"_blank\" rel=\"noreferrer noopener\" href=\"https:\/\/www.fda.gov\/about-fda\/center-drug-evaluation-and-research-cder\/artificial-intelligence-drug-development\">FDA: Artificial Intelligence for Drug Development<\/a> \u00b7 <a target=\"_blank\" rel=\"noreferrer noopener\" href=\"https:\/\/www.ema.europa.eu\/en\/about-us\/how-we-work\/data-regulation-big-data-other-sources\/artificial-intelligence\">EMA: intelligenza artificiale e medicinali<\/a> \u00b7 <a target=\"_blank\" rel=\"noreferrer noopener\" href=\"https:\/\/www.who.int\/publications\/i\/item\/9789240029200\">OMS: etica e governance dell\u2019IA sanitaria<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Abstract etico-sociale<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Il vantaggio dell\u2019IA consiste nella possibilit\u00e0 di accelerare la ricerca e indirizzare meglio le risorse sperimentali. I rischi comprendono bias nei dati, scarsa trasparenza, concentrazione delle tecnologie e decisioni difficili da contestare. Senza supervisione umana e verifiche indipendenti, gli errori potrebbero trasferirsi dalla simulazione alla sperimentazione. In futuro, modelli affidabili e dati condivisi potrebbero favorire nuove terapie, purch\u00e9 innovazione, sicurezza ed equit\u00e0 procedano insieme.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2026\/06\/ia-scoperta-farmaci-progressi-limiti-rivoluzione-1024x576.jpg\" alt=\"IA e scoperta di farmaci: progressi e limiti della rivoluzione\" class=\"wp-image-118215\" srcset=\"https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2026\/06\/ia-scoperta-farmaci-progressi-limiti-rivoluzione-1024x576.jpg 1024w, https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2026\/06\/ia-scoperta-farmaci-progressi-limiti-rivoluzione-300x169.jpg 300w, https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2026\/06\/ia-scoperta-farmaci-progressi-limiti-rivoluzione-768x432.jpg 768w, https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2026\/06\/ia-scoperta-farmaci-progressi-limiti-rivoluzione-1536x865.jpg 1536w, https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2026\/06\/ia-scoperta-farmaci-progressi-limiti-rivoluzione-696x392.jpg 696w, https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2026\/06\/ia-scoperta-farmaci-progressi-limiti-rivoluzione-1068x601.jpg 1068w, https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2026\/06\/ia-scoperta-farmaci-progressi-limiti-rivoluzione.jpg 1599w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Documento: revisione narrativa critica peer-reviewed, pubblicata nel giugno 2026 su Drug Design, Development and Therapy (DOI: 10.2147\/DDDT.S607228).Download: Scarica l\u2019articolo scientifico in PDF L\u2019intelligenza artificiale sta accelerando lo screening delle molecole e l\u2019ottimizzazione dei candidati farmaci, ma il passaggio dai risultati informatici alle terapie cliniche rimane ancora il principale ostacolo. L\u2019intelligenza artificiale \u00e8 diventata uno strumento [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":118215,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"om_disable_all_campaigns":false,"footnotes":""},"categories":[429,371],"tags":[63,263],"class_list":["post-118209","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ricerca-scientifica-aiopenmind","category-newshealthcare-aiopenmind","tag-report","tag-salute"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>IA e scoperta di farmaci: progressi e limiti della rivoluzione &#8212; AIopenmind<\/title>\n<meta name=\"description\" content=\"IA e scoperta di farmaci: progressi nello screening, limiti clinici, rischi etici e necessit\u00e0 di controllo umano.\" \/>\n<meta name=\"robots\" content=\"index, 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