en آینده مطالعات بیولوژیک در پرتو انقلاب هوش مصنوعی ارزیابی فن آوری سلامت Health Technology Assesment نامه به سردبیر Letter to the Editor <div style="text-align: justify;"><span style="font-size:12pt"><span style="unicode-bidi:embed"><span style="line-height:150%"><span new="" roman="" style="font-family:" times=""><span style="line-height:150%">Over a decade ago, Eric Lander, a distinguished biologist, observed, &ldquo;Biology is becoming a data science.&rdquo; This foresight has proven profoundly prescient. With the exponential growth of biological data and the rapid ascent of artificial intelligence (AI), we are witnessing a transformative shift in how life is studied, understood, and engineered. This editorial explores the pivotal role of AI in redefining biology, its associated challenges, and a responsible path forward for the broader scientific community, including biologists, data scientists, and science policymakers</span><span dir="RTL" lang="FA" style="line-height:150%">.</span><span lang="FA" dir="RTL" style="line-height:150%"></span></span></span></span></span><br> <span style="font-size:12pt"><span style="unicode-bidi:embed"><span style="line-height:150%"><span new="" roman="" style="font-family:" times=""><span style="line-height:150%">AI is reshaping the landscape of biological research. In genomics, advanced algorithms, such as deep learning models, integrate complex datasets&mdash;from DNA sequences to epigenetic patterns and proteomic profiles&mdash;unveiling insights previously beyond reach. For instance, recent AI-driven studies have identified novel gene-disease associations, such as new biomarkers for type 2 diabetes (Nature Genetics, 2023)</span><span dir="RTL" lang="FA" style="line-height:150%">.&nbsp; </span><span lang="FA" dir="RTL" style="line-height:150%"></span></span></span></span></span><br> <span style="font-size:12pt"><span style="unicode-bidi:embed"><span style="line-height:150%"><span new="" roman="" style="font-family:" times=""><span style="line-height:150%">In structural biology, DeepMind&rsquo;s AlphaFold has resolved a decades-long grand challenge by making protein structure prediction a routine step in research pipelines. Introduced in 2020, this breakthrough has accelerated drug design and deepened our understanding of biological mechanisms. In drug discovery, AI now prioritizes therapeutic targets, designs novel molecules, and enables personalized treatments at unprecedented speeds. For example, Insilico Medicine leveraged AI to develop a potential drug for pulmonary fibrosis in under 18 months&mdash;a process that traditionally took over five years</span><span dir="RTL" lang="FA" style="line-height:150%">.</span><span lang="FA" dir="RTL" style="line-height:150%"></span></span></span></span></span></div> Future, Biological Studies, AI, AI Revolution 211 212 http://jabs.fums.ac.ir/browse.php?a_code=A-10-2093-1&slc_lang=en&sid=1 Ghader Allahverdi قادر اله وردی 100319475328460029914 100319475328460029914 No Co-Editor in Cheif & Executive Manager, Journal of Advanced Biomedical Sciences, Fasa University of Medical Sciences, Fasa, Iran مدیر اجرایی مجله علوم زیستی پیشرفته، دانشگاه علوم پزشکی فسا، فسا، ایران Mohammad Hassan Meshkibaf محمدحسن مشکی باف meshkibaf.m@fums.ac.ir 100319475328460029915 100319475328460029915 Yes Editor in Chief, Journal of Advanced Biomedical Sciences, Fasa University of Medical Sciences, Fasa, Iran سردبیر مجله علوم زیستی پیشرفته، دانشگاه علوم پزشکی فسا، فسا، ایران Mohammad Mahdi Mokhtari Tabar محمدمهدی مختاری تبار 100319475328460029916 100319475328460029916 No Department of Clinical iochemistry, Faculty of Medicine, Fasa University of Medical Sciences, Fasa, Iran گروه شیمی بالینی، دانشکده پزشکی، دانشگاه علوم پزشکی فسا، فسا، ایران Zahra Piran زهرا پیران 100319475328460029917 100319475328460029917 No Vice Chancellery for Research & Technology, Fasa University of Medical Sciences, Fasa, Iran دفتر معاونت تحقیقات و فناوری، دانشگاه علوم پزشکی فسا، فسا، ایران