Sharh maqola

Artificial intelligence assists precision medicine in cancer treatment

Jinzhuang LiaoDepartment of Radiology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, ChinaXiaoying LiDepartment of Radiology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, ChinaYu GanDepartment of Radiology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, ChinaShuangze HanDepartment of Radiology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, ChinaPengfei RongCell Transplantation and Gene Therapy Institute, The Third Xiangya Hospital, Central South University, Changsha, Hunan, ChinaWei WangCell Transplantation and Gene Therapy Institute, The Third Xiangya Hospital, Central South University, Changsha, Hunan, ChinaWei LiCell Transplantation and Gene Therapy Institute, The Third Xiangya Hospital, Central South University, Changsha, Hunan, ChinaLi ZhouCell Transplantation and Gene Therapy Institute, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China

2023en

ABI

Annotatsiya

Cancer is a major medical problem worldwide. Due to its high heterogeneity, the use of the same drugs or surgical methods in patients with the same tumor may have different curative effects, leading to the need for more accurate treatment methods for tumors and personalized treatments for patients. The precise treatment of tumors is essential, which renders obtaining an in-depth understanding of the changes that tumors undergo urgent, including changes in their genes, proteins and cancer cell phenotypes, in order to develop targeted treatment strategies for patients. Artificial intelligence (AI) based on big data can extract the hidden patterns, important information, and corresponding knowledge behind the enormous amount of data. For example, the ML and deep learning of subsets of AI can be used to mine the deep-level information in genomics, transcriptomics, proteomics, radiomics, digital pathological images, and other data, which can make clinicians synthetically and comprehensively understand tumors. In addition, AI can find new biomarkers from data to assist tumor screening, detection, diagnosis, treatment and prognosis prediction, so as to providing the best treatment for individual patients and improving their clinical outcomes.

Hali tarjima qilinmagan

Identifikatorlar

DOI: 10.3389/fonc.2022.998222

Iqtiboslar va manbalar

3 ta iqtibos0 ta foydalanilgan manba

Koʻrsatkichlar — AkademScholar