{"id":10537,"date":"2026-02-03T01:33:14","date_gmt":"2026-02-03T01:33:14","guid":{"rendered":"https:\/\/pharmamachinecn.com\/?p=10537"},"modified":"2026-03-18T03:10:44","modified_gmt":"2026-03-18T03:10:44","slug":"applications-of-artificial-intelligenceai-in-pharmaceutical-industry","status":"publish","type":"post","link":"https:\/\/pharmamachinecn.com\/tr\/applications-of-artificial-intelligenceai-in-pharmaceutical-industry\/","title":{"rendered":"Yapay Zekan\u0131n (YZ) \u0130la\u00e7 End\u00fcstrisindeki Uygulamalar\u0131"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"10537\" class=\"elementor elementor-10537\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-656075b4 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"656075b4\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-78348194\" data-id=\"78348194\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2b902b66 product-data-tab elementor-widget elementor-widget-text-editor\" data-id=\"2b902b66\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Yapay zek\u00e2 art\u0131k sadece teknoloji sekt\u00f6r\u00fcyle s\u0131n\u0131rl\u0131 de\u011fil; bunun yerine, ila\u00e7 end\u00fcstrisinde h\u0131zla pop\u00fclerlik kazan\u0131yor. \u0130la\u00e7 da\u011f\u0131t\u0131m\u0131n\u0131 h\u0131zland\u0131rabilir ve t\u00fcm \u00fcretim s\u00fcre\u00e7lerini optimize edebilir. Bu nedenle yapay zek\u00e2n\u0131n 1,4 trilyon ila 350 milyar dolar aras\u0131nda gelir yaratmas\u0131 bekleniyor. <a href=\"https:\/\/www.coherentsolutions.com\/insights\/artificial-intelligence-in-pharmaceuticals-and-biotechnology-current-trends-and-innovations\" target=\"_blank\" rel=\"noopener\"><u>2025 y\u0131l\u0131nda ila\u00e7 sekt\u00f6r\u00fc i\u00e7in $410 milyar dolar.<\/u><\/a>. Yapay zekan\u0131n ila\u00e7 sekt\u00f6r\u00fcndeki rol\u00fcn\u00fc ve kar\u015f\u0131la\u015fabilece\u011finiz zorluklar\u0131 \u00f6\u011frenmek istiyorsan\u0131z, okumaya devam edin!<\/p><figure id=\"attachment_10542\" aria-describedby=\"caption-attachment-10542\" style=\"width: 1000px\" class=\"wp-caption aligncenter\"><img fetchpriority=\"high\" decoding=\"async\" class=\"size-full wp-image-10542\" src=\"https:\/\/pharmamachinecn.com\/wp-content\/uploads\/2026\/02\/Applications-of-Artificial-IntelligenceAI-in-Pharmaceutical-Industry.png\" alt=\"Yapay Zekan\u0131n (YZ) \u0130la\u00e7 End\u00fcstrisindeki Uygulamalar\u0131\" width=\"1000\" height=\"562\" srcset=\"https:\/\/pharmamachinecn.com\/wp-content\/uploads\/2026\/02\/Applications-of-Artificial-IntelligenceAI-in-Pharmaceutical-Industry.png 1000w, https:\/\/pharmamachinecn.com\/wp-content\/uploads\/2026\/02\/Applications-of-Artificial-IntelligenceAI-in-Pharmaceutical-Industry-300x169.png 300w, https:\/\/pharmamachinecn.com\/wp-content\/uploads\/2026\/02\/Applications-of-Artificial-IntelligenceAI-in-Pharmaceutical-Industry-768x432.png 768w, https:\/\/pharmamachinecn.com\/wp-content\/uploads\/2026\/02\/Applications-of-Artificial-IntelligenceAI-in-Pharmaceutical-Industry-18x10.png 18w, https:\/\/pharmamachinecn.com\/wp-content\/uploads\/2026\/02\/Applications-of-Artificial-IntelligenceAI-in-Pharmaceutical-Industry-600x337.png 600w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><figcaption id=\"caption-attachment-10542\" class=\"wp-caption-text\"><em>\u0130la\u00e7 End\u00fcstrisinde Yapay Zeka (YZ).<\/em><\/figcaption><\/figure><h2><strong>\u0130la\u00e7 End\u00fcstrisinde Yapay Zekan\u0131n En \u00d6nemli Trendleri <\/strong><\/h2><p>Yapay zekan\u0131n ila\u00e7 end\u00fcstrisindeki etkisi olduk\u00e7a d\u00f6n\u00fc\u015ft\u00fcr\u00fcc\u00fc, zira giderek daha fazla \u015firket bu teknolojiyi benimsiyor. \u0130\u015fte yapay zekan\u0131n size yard\u0131mc\u0131 olaca\u011f\u0131 baz\u0131 yollar:<\/p><h3><strong>\u0130la\u00e7 Ke\u015ffi ve Geli\u015ftirme <\/strong><\/h3><p>Ge\u00e7mi\u015fte, yeni ila\u00e7lar ke\u015ffetmek ve bunlar\u0131 ticari olarak piyasaya s\u00fcrmek sadece zaman al\u0131c\u0131 de\u011fil, ayn\u0131 zamanda \u00e7ok pahal\u0131yd\u0131. Neyse ki, yapay zeka bu zorlu g\u00f6revi devrald\u0131! Nas\u0131l m\u0131? Bu teknoloji, hastal\u0131k biyobelirte\u00e7lerini ve potansiyel ila\u00e7 adaylar\u0131n\u0131 belirlemenize yard\u0131mc\u0131 oluyor. <a href=\"https:\/\/www.geeksforgeeks.org\/machine-learning\/types-of-machine-learning\/\" target=\"_blank\" rel=\"noopener\"><span style=\"text-decoration: underline;\">ML algoritmalar\u0131<\/span><\/a> Daha h\u0131zl\u0131 ve daha do\u011fru ke\u015fifler yapmak i\u00e7in \u00e7ok miktarda kimyasal, biyolojik ve klinik veriyi analiz etmek.<\/p><p>\u00d6rne\u011fin, yapay zeka milyonlarca molek\u00fcl\u00fc tarayabilir ve hangisinin kanserle ilgili bir proteini engelleyebilece\u011fini tahmin edebilir. Bunun dikkate de\u011fer bir \u00f6rne\u011fi \u015fudur: <a href=\"https:\/\/news.mit.edu\/2020\/artificial-intelligence-identifies-new-antibiotic-0220\" target=\"_blank\" rel=\"noopener\"><u>MIT ara\u015ft\u0131rmac\u0131lar\u0131 derin \u00f6\u011frenme modellerinden yararland\u0131.<\/u><\/a>\u00a0Halicin ad\u0131 verilen yeni bir ilac\u0131 belirlemek i\u00e7in, yapay zekay\u0131 molek\u00fcllerin antibakteriyel \u00f6zelliklerini tahmin edecek \u015fekilde e\u011fittiler ve ard\u0131ndan do\u011fru se\u00e7ene\u011fi bulmak i\u00e7in geni\u015f kimyasal k\u00fct\u00fcphaneleri tarad\u0131.<\/p><p>Bu ila\u00e7, geleneksel ila\u00e7lar\u0131n g\u00f6z ard\u0131 etti\u011fi diren\u00e7li bakterilerle ilgili sorunlar\u0131n \u00fcstesinden gelmeye yard\u0131mc\u0131 oldu. Hatta <a href=\"https:\/\/www.ddw-online.com\/half-of-pharma-believes-ai-can-help-bring-new-drugs-to-market-faster-12275-202107\/\" target=\"_blank\" rel=\"noopener\"><u>Avrupa ve ABD ila\u00e7 \u00fcretim \u015firketlerinin 50%&#039;si<\/u><\/a> Yapay zekan\u0131n yeni ila\u00e7lar\u0131n piyasaya daha h\u0131zl\u0131 ve g\u00fcvenli bir \u015fekilde s\u00fcr\u00fclmesine yard\u0131mc\u0131 olabilece\u011fini biliyoruz. Ancak bu kadarla da s\u0131n\u0131rl\u0131 de\u011fil; ila\u00e7 \u015firketleri ayr\u0131ca yapay zekay\u0131 geli\u015ftirilen ilac\u0131n g\u00fcvenlik profilini tahmin etmek ve b\u00f6ylece daha sonraki riskleri en aza indirmek i\u00e7in de kullanabilirler.<\/p><h3><strong>Klinik Denemeler<\/strong><\/h3><p>Klinik ara\u015ft\u0131rmalar, yeni tedavilerin ve ila\u00e7lar\u0131n etkinli\u011fini ve g\u00fcvenli\u011fini de\u011ferlendirmenin temel y\u00f6ntemi olduklar\u0131 i\u00e7in t\u0131bbi ara\u015ft\u0131rmalar a\u00e7\u0131s\u0131ndan \u00f6nemlidir. Bununla birlikte, bu ara\u015ft\u0131rmalar hasta al\u0131m\u0131 ve mevzuata uyum da dahil olmak \u00fczere bir\u00e7ok zorluk i\u00e7ermektedir. Bu nedenle, ila\u00e7 end\u00fcstrisinde yapay zekan\u0131n size yard\u0131mc\u0131 olabilece\u011fi bir di\u011fer yol da t\u00fcm klinik ara\u015ft\u0131rma s\u00fcrecini kolayla\u015ft\u0131rmakt\u0131r.<\/p><p>Yapay zeka, \u00e7ok b\u00fcy\u00fck miktarda veriyi h\u0131zla i\u015fleyebilir. <a href=\"https:\/\/en.wikipedia.org\/wiki\/Electronic_health_record\" target=\"_blank\" rel=\"noopener\"><span style=\"text-decoration: underline;\">elektronik sa\u011fl\u0131k kay\u0131tlar\u0131 (EHR&#039;ler)<\/span><\/a> Belirlenen kriterlere uyan kat\u0131l\u0131mc\u0131lar\u0131 bulmak i\u00e7in sosyal medyan\u0131n yan\u0131 s\u0131ra yapay zeka da kullan\u0131l\u0131yor. Bu, t\u00fcm i\u015fe al\u0131m s\u00fcrecini h\u0131zland\u0131r\u0131yor ve tam olarak do\u011fru e\u015fle\u015fmeyi sa\u011fl\u0131yor. Bunun da \u00f6tesinde, yapay zeka, tedavi planlar\u0131 ve veri toplama stratejileri de dahil olmak \u00fczere deneme metodolojisinin tasarlanmas\u0131nda size rehberlik ediyor.<\/p><p>\u00c7e\u015fitli deneme tasar\u0131mlar\u0131n\u0131 sim\u00fcle ederek en etkili protokol\u00fc tahmin etmenize yard\u0131mc\u0131 olur. Denemeler tamamland\u0131ktan sonra, toplanmas\u0131, y\u00f6netilmesi ve analiz edilmesi gereken \u00e7ok miktarda veri vard\u0131r. Bu verileri anormallikleri ve e\u011filimleri belirlemek ve b\u00f6ylece veri b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc korumak i\u00e7in kullanabilirsiniz. En iyi yan\u0131 ise yapay zekan\u0131n d\u00fczenleyici belgeleri haz\u0131rlay\u0131p sunmas\u0131d\u0131r, b\u00f6ylece siz de bu i\u015flemleri kolayca halledebilirsiniz. <a href=\"https:\/\/pharmamachinecn.com\/tr\/how-many-iso-standards-are-there-in-the-pharmaceutical-industry\/\"><u>\u0130la\u00e7lar yerel ve uluslararas\u0131 y\u00f6nergelere uygundur.<\/u><\/a>.<\/p><h3><strong>Tedarik Zinciri ve \u00dcretim <\/strong><\/h3><p>Yapay zek\u00e2, ila\u00e7 tasar\u0131m\u0131 ve denemelerinin yan\u0131 s\u0131ra, ila\u00e7 \u015firketlerine tedarik zinciri y\u00f6netimi ve \u00fcretim s\u00fcre\u00e7lerini iyile\u015ftirmede de yard\u0131mc\u0131 oluyor. Bu geli\u015fmi\u015f modeller, ge\u00e7mi\u015f verileri ve mevsimsel e\u011filimleri analiz ederek hangi ila\u00e7lar\u0131n veya tedavilerin talep g\u00f6rece\u011fini tahmin ediyor.<\/p><p>Bu sayede t\u00fcm da\u011f\u0131t\u0131m merkezlerindeki stok seviyelerini optimize edebilirsiniz. B\u00f6ylece i\u015fletmenize zarar verebilecek stok t\u00fckenmesi veya a\u015f\u0131r\u0131 stoklama sorunlar\u0131 ya\u015fanmaz. Yapay zeka ile ayr\u0131ca hammadde ve mallar\u0131n hareketini de izleyebilirsiniz.<\/p><p>Sonu\u00e7 olarak, sahte \u00fcr\u00fcnlere kar\u015f\u0131 koruma artar ve bu da \u00fcr\u00fcnlerinize olan g\u00fcveni y\u00fckseltir. Ger\u00e7ekten \u015fa\u015f\u0131rt\u0131c\u0131 olan ise, bir\u00e7ok ila\u00e7 firmas\u0131n\u0131n art\u0131k \u00f6zellikle so\u011fuk zincir lojisti\u011finde rotalar\u0131 optimize etmek ve gecikmeleri \u00f6nlemek i\u00e7in IoT sens\u00f6rleri ve di\u011fer cihazlar\u0131 kullanmaya ba\u015flamas\u0131d\u0131r.<\/p><h3><strong>Ki\u015fiselle\u015ftirilmi\u015f \u0130la\u00e7lar ve Tedaviler<\/strong><\/h3><p>Her insan\u0131n v\u00fccut kimyas\u0131 farkl\u0131d\u0131r; bu nedenle, genel ila\u00e7lar tasarlama yakla\u015f\u0131m\u0131 art\u0131k ge\u00e7erlili\u011fini yitirmi\u015ftir. \u00d6zellikle ila\u00e7lar s\u00f6z konusu oldu\u011funda, herkese uyan tek bir \u00e7\u00f6z\u00fcm yoktur.<\/p><p>Bu durum, hastan\u0131n genetik yap\u0131s\u0131n\u0131, ya\u015fam tarz\u0131 tercihlerini ve \u00e7evresel fakt\u00f6rlerini dikkate alan ki\u015fiselle\u015ftirilmi\u015f ila\u00e7lar\u0131n ortaya \u00e7\u0131kmas\u0131na yol a\u00e7maktad\u0131r.<\/p><p>Bununla birlikte, t\u00fcm bu verileri manuel olarak takip etmek olduk\u00e7a zordur, ancak yapay zeka bunu kolayla\u015ft\u0131rabilir. Yapay zeka destekli genomik, belirli hastal\u0131klardan sorumlu genetik mutasyonlar\u0131 kolayca belirleyerek, hedefe y\u00f6nelik tedavilerin ve ki\u015fiye \u00f6zel ila\u00e7lar\u0131n sunulmas\u0131n\u0131 sa\u011flayabilir.<\/p><p>Yapay zekan\u0131n ki\u015fiselle\u015ftirmeye yard\u0131mc\u0131 olabilece\u011fi di\u011fer baz\u0131 yollar \u015funlard\u0131r:<\/p><ul><li>Yapay zek\u00e2 ara\u00e7lar\u0131, hastan\u0131n v\u00fccudunun ila\u00e7lar\u0131 nas\u0131l par\u00e7alad\u0131\u011f\u0131n\u0131 inceleyerek doktorlar\u0131n yan etkilerden ka\u00e7\u0131nmak i\u00e7in dozu ayarlamas\u0131na olanak tan\u0131r.<\/li><li>Makine \u00f6\u011frenimi sistemleri, hangi hastalar\u0131n belirli bir tedaviye yan\u0131t verme olas\u0131l\u0131\u011f\u0131n\u0131n daha y\u00fcksek oldu\u011funu tahmin ederek zamandan tasarruf sa\u011flar ve hatalar\u0131 \u00f6nler.<\/li><li>Yapay zeka, benzer \u00f6zelliklere ve sa\u011fl\u0131k sorunlar\u0131na sahip hasta alt gruplar\u0131n\u0131 belirleyerek zaman\u0131nda ve hedefli m\u00fcdahaleler yap\u0131lmas\u0131na yard\u0131mc\u0131 olur.<\/li><\/ul><p>Yapay zekan\u0131n ila\u00e7 sekt\u00f6r\u00fcndeki ba\u015fl\u0131ca faydalar\u0131 aras\u0131nda y\u00fcksek kaliteli \u00fcr\u00fcnler, hasta sonu\u00e7lar\u0131nda iyile\u015fme ve maliyet d\u00fc\u015f\u00fc\u015f\u00fc yer almaktad\u0131r.<\/p><h2><strong>\u0130la\u00e7 End\u00fcstrisinde Yapay Zekan\u0131n Zorluklar\u0131<\/strong><\/h2><p>\u0130la\u00e7 end\u00fcstrisinde yapay zekan\u0131n faydalar\u0131 olmakla birlikte, fark\u0131nda olman\u0131z gereken baz\u0131 zorluklar da ortaya \u00e7\u0131kmaktad\u0131r, \u00f6rne\u011fin: \u00a0<\/p><h3><strong>Veri Gizlili\u011finin Eksikli\u011fi <\/strong><\/h3><p>\u0130la\u00e7 end\u00fcstrisinde yapay zekan\u0131n en b\u00fcy\u00fck zorluklar\u0131ndan biri veri g\u00fcvenli\u011fi ve gizlili\u011finin yetersizli\u011fidir. Yapay zeka bir\u00e7ok sistemi ve veriyi analiz etti\u011fi ve hassas hasta bilgilerini i\u015fledi\u011fi i\u00e7in iyi korunmas\u0131 gerekmektedir.<\/p><p>Herhangi bir hata veya g\u00fcvenlik a\u00e7\u0131\u011f\u0131, bilgisayar korsanlar\u0131n\u0131n eri\u015fim sa\u011flamas\u0131na ve \u00fc\u00e7\u00fcnc\u00fc \u015fah\u0131slar taraf\u0131ndan k\u00f6t\u00fcye kullan\u0131labilecek hassas verilerin s\u0131zd\u0131r\u0131lmas\u0131na yol a\u00e7abilir. Bu veriler daha sonra karanl\u0131k web&#039;de sat\u0131labilir veya kimlik h\u0131rs\u0131zl\u0131\u011f\u0131 ve hatta sigorta doland\u0131r\u0131c\u0131l\u0131\u011f\u0131 i\u00e7in kullan\u0131labilir; bunlar\u0131n hepsi \u00e7ok risklidir.<\/p><h3><strong>Mevcut Veri Sistemleriyle Entegrasyon <\/strong><\/h3><p>\u0130la\u00e7 end\u00fcstrisinde yapay zek\u00e2 g\u00fcnl\u00fck i\u015flerinizi kolayla\u015ft\u0131r\u0131rken, mevcut veri sistemleriyle entegre edilmesi zorlu bir g\u00f6rev olabilir. \u00d6rne\u011fin, bir\u00e7ok ila\u00e7 \u015firketi hala verileri farkl\u0131 formatlarda depolayan eski yaz\u0131l\u0131mlar ve sistemler kullanmaktad\u0131r.<\/p><p>Yapay zek\u00e2 veya makine \u00f6\u011frenimi \u00e7\u00f6z\u00fcmlerini bu teknolojik altyap\u0131ya ba\u011flad\u0131\u011f\u0131n\u0131zda, uyumluluk veya veri aktar\u0131m sorunlar\u0131 ortaya \u00e7\u0131kabilir. Bu durumda t\u00fcm sistem yava\u015flayabilir veya hatta \u00e7\u00f6kebilir ve i\u015f ak\u0131\u015flar\u0131nda aksamalara yol a\u00e7abilir.<\/p><h3><strong>Etik Hususlar <\/strong><\/h3><p>Yapay zeka yaln\u0131zca tek bir kaynaktan veri toplamakla kalmaz; bunun yerine elektronik sa\u011fl\u0131k kay\u0131tlar\u0131n\u0131, giyilebilir cihazlar\u0131 ve di\u011fer belgeleri analiz eder. Bu verilerin baz\u0131lar\u0131 eksik veya \u00f6nyarg\u0131l\u0131 olabilir ve bu da nihai sonu\u00e7lar\u0131 etkiler.<\/p><p>\u00d6rne\u011fin, bir sistem \u00e7o\u011funlukla belirli bir ya\u015f grubundaki veya etnik k\u00f6kendeki hastalardan elde edilen verilerle e\u011fitilmi\u015fse, bu grubun d\u0131\u015f\u0131ndaki ki\u015filer i\u00e7in yanl\u0131\u015f tahminlerde bulunabilir ve bu da adil olmayan tedavi planlar\u0131na yol a\u00e7abilir.<\/p><h2><strong>\u0130la\u00e7 \u015firketleri yapay zekay\u0131 hangi alanlarda kullan\u0131yor? <\/strong><\/h2><p>G\u00fcn\u00fcm\u00fczde bir\u00e7ok ila\u00e7 \u015firketi, s\u00fcre\u00e7lerini h\u0131zland\u0131rmak ve inovasyonu te\u015fvik etmek i\u00e7in yapay zekay\u0131 kullan\u0131yor. \u0130\u015fte bunlardan baz\u0131lar\u0131na genel bir bak\u0131\u015f:<\/p><ul><li><strong>Pfizer<\/strong>Pfizer, geni\u015f veri k\u00fcmelerini analiz ederek ve d\u00fczenleyici s\u00fcre\u00e7leri otomatikle\u015ftirerek ila\u00e7 ke\u015ffini h\u0131zland\u0131rmak i\u00e7in yapay zekay\u0131 kullan\u0131yor.<\/li><li><strong>Sanoff<\/strong>Sanoff, yapay zekay\u0131 kullanarak mRNA a\u015f\u0131lar\u0131n\u0131n temelini olu\u015fturan lipid nanopartik\u00fcllerini se\u00e7iyor ve b\u00f6ylece \u00fcretim s\u00fcrelerini k\u0131salt\u0131yor. Ayr\u0131ca, klinik denemelerin genel tasar\u0131m\u0131n\u0131 ve y\u00fcr\u00fct\u00fclmesini iyile\u015ftirmek i\u00e7in de yapay zekadan faydalan\u0131yorlar.<\/li><li><strong>Bayer<\/strong>Bayer ayr\u0131ca, tedarik zinciri aksamalar\u0131n\u0131 azaltmak ve ila\u00e7 israf\u0131n\u0131 en aza indirmek i\u00e7in yapay zekay\u0131 kullan\u0131yor ve bu sayede ila\u00e7lar\u0131 son kullan\u0131c\u0131lara zaman\u0131nda ula\u015ft\u0131rabiliyor.<\/li><\/ul><h2><strong>SSS<\/strong><\/h2><h3><strong>Yapay zek\u00e2, ila\u00e7 sekt\u00f6r\u00fcnde insan uzmanlar\u0131n yerini alabilir mi?<\/strong><\/h3><p>Hay\u0131r, yapay zeka insan uzmanlar\u0131n yerini alm\u0131yor; aksine, onlar\u0131n kararlar\u0131n\u0131 ve de\u011ferlendirmelerini desteklemek i\u00e7in g\u00fc\u00e7l\u00fc bir ara\u00e7 g\u00f6revi g\u00f6r\u00fcyor.<\/p><h3><strong>\u0130la\u00e7 sekt\u00f6r\u00fcnde yapay zekan\u0131n gelece\u011fi ne olacak? <\/strong><\/h3><p>Yapay zekan\u0131n ila\u00e7 sekt\u00f6r\u00fcndeki gelece\u011fi, tahmine dayal\u0131 analizler, bilgisayar ortam\u0131nda yap\u0131lan denemeler ve yapay zeka taraf\u0131ndan \u00fcretilen ila\u00e7lardaki geli\u015fmelerle birlikte umut verici g\u00f6r\u00fcn\u00fcyor.<\/p><h3><strong>\u0130la\u00e7 end\u00fcstrisinde yapay zekan\u0131n ne t\u00fcr verilere ihtiyac\u0131 var? <\/strong><\/h3><p>Yapay zekan\u0131n ihtiya\u00e7 duydu\u011fu veri t\u00fcrleri aras\u0131nda elektronik sa\u011fl\u0131k kay\u0131tlar\u0131, kimyasal yap\u0131lar, genetik veriler ve ger\u00e7ek d\u00fcnya hasta bilgileri yer almaktad\u0131r.<\/p><h2><strong>\u00c7\u00f6z\u00fcm <\/strong><\/h2><p>\u0130la\u00e7 end\u00fcstrisinde yapay zek\u00e2ya, k\u00fc\u00e7\u00fck veya b\u00fcy\u00fck bir ila\u00e7 \u015firketi olman\u0131z fark etmeksizin, \u00e7ok ihtiya\u00e7 duyulmaktad\u0131r. \u0130\u015fletmeniz i\u00e7in en \u00fcst d\u00fczey ekipmanlar\u0131 nereden temin edebilece\u011finizi mi merak ediyorsunuz? Bizimle ileti\u015fime ge\u00e7in. <a href=\"https:\/\/pharmamachinecn.com\/tr\/\"><u>Finetech&#039;in \u0130la\u00e7 Ekipmanlar\u0131<\/u><\/a>\u00a0Bug\u00fcn gelin ve geni\u015f yelpazedeki dayan\u0131kl\u0131 \u00fcr\u00fcnlerimizi ke\u015ffedin!<\/p><h2><b>Telif Hakk\u0131 Uyar\u0131s\u0131:\u00a0<\/b><\/h2><p>Finetech Group'un \u00f6nceden a\u00e7\u0131k yaz\u0131l\u0131 onay\u0131 olmadan bu web sitesindeki herhangi bir i\u00e7eri\u011fi \u00e7o\u011faltamaz, de\u011fi\u015ftiremez, yay\u0131nlayamaz, g\u00f6r\u00fcnt\u00fcleyemez, iletemez veya herhangi bir \u015fekilde istismar edemezsiniz veya bu t\u00fcr i\u00e7eri\u011fi herhangi bir veritaban\u0131 olu\u015fturmak i\u00e7in kullanamazs\u0131n\u0131z. \u0130\u00e7eri\u011fi kullanma izni i\u00e7in l\u00fctfen ileti\u015fime ge\u00e7in: <a href=\"mailto:info@pharmamachinecn.com\"><span style=\"text-decoration: underline;\">info@pharmamachinecn.com<\/span><\/a><\/p><h2><b>Yasal Uyar\u0131:<\/b><\/h2><p>Bu makalede yer alan bilgiler yaln\u0131zca genel bilgilendirme ama\u00e7l\u0131d\u0131r. \u015eirket, herhangi bir bilginin do\u011frulu\u011funu, g\u00fcncelli\u011fini veya eksiksizli\u011fini garanti etmez ve \u015eirket, bu makalenin i\u00e7eri\u011findeki hatalar veya eksiklikler i\u00e7in hi\u00e7bir sorumluluk kabul etmez.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence is no longer limited to the tech sector; instead, it&#8217;s quickly getting popular in the pharmaceutical industry. It [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":10542,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[61],"tags":[],"class_list":["post-10537","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-pharmaceutical-technology"],"acf":[],"_links":{"self":[{"href":"https:\/\/pharmamachinecn.com\/tr\/wp-json\/wp\/v2\/posts\/10537","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pharmamachinecn.com\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pharmamachinecn.com\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pharmamachinecn.com\/tr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/pharmamachinecn.com\/tr\/wp-json\/wp\/v2\/comments?post=10537"}],"version-history":[{"count":13,"href":"https:\/\/pharmamachinecn.com\/tr\/wp-json\/wp\/v2\/posts\/10537\/revisions"}],"predecessor-version":[{"id":13304,"href":"https:\/\/pharmamachinecn.com\/tr\/wp-json\/wp\/v2\/posts\/10537\/revisions\/13304"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pharmamachinecn.com\/tr\/wp-json\/wp\/v2\/media\/10542"}],"wp:attachment":[{"href":"https:\/\/pharmamachinecn.com\/tr\/wp-json\/wp\/v2\/media?parent=10537"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pharmamachinecn.com\/tr\/wp-json\/wp\/v2\/categories?post=10537"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pharmamachinecn.com\/tr\/wp-json\/wp\/v2\/tags?post=10537"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}