چاپ صفحه |  صفحه نخست سامانه |  نویسندگان |  اطلاعات تفضیلی |  دانلود مقاله | دانشگاه علوم پزشکی تبریز |
| نویسنده | نفر چندم مقاله |
|---|---|
| فرزانه صادقی | اول |
| مهناز صادقی | دوم |
| صفر فرج نیا | سوم |
| عفت علیزاده | چهارم |
| عنوان | متن |
|---|---|
| خلاصه مقاله | Cancer remains one of the leading causes of mortality worldwide, driving the need for innovative approaches in research and treatment. The integration of artificial intelligence (AI) in cancer research is revolutionizing the field, enhancing the understanding of cancer biology and improving clinical outcomes. The exponential growth of multi-omics data (genomics, proteomics, transcriptomics), digitized medical imaging, and electronic health records (EHRs) has created a complex data landscape that surpasses human analytical capacity. AI algorithms are uniquely equipped to decipher these complexities, uncovering novel patterns and predictive insights. This study reviews the pivotal role of AI across the cancer care continuum, focusing on its application in biomarker discovery, diagnostic imaging, and the development of personalized therapeutic strategies. |
| کلمات کلیدی | Artificial Intelligence (AI), Machine Learning (ML), Precision Oncology, Biomarker Discovery, Personalized Therapy |
| نام فایل | تاریخ درج فایل | اندازه فایل | دانلود |
|---|---|---|---|
| فرزانه صادقي.2.pdf | 1404/08/25 | 1262357 | دانلود |
| متن کامل مقاله.pdf | 1404/10/22 | 419793 | دانلود |
