Showing 501 - 507 results of 507 for search '"precision medicine"', query time: 0.05s Refine Results
  1. 501
  2. 502
  3. 503

    Relapsed childhood T-cell acute lymphoblastic leukemia and lymphoblastic lymphoma by Andrew D. Hughes, Petri Pölönen, David T. Teachey

    Published 2025-01-01
    “…Recent efforts to comprehensively profile the genomics of T-ALL/LBL to improve understanding of disease biology have enhanced our ability to identify high-risk patients at diagnosis who are more likely to relapse and have also identified novel targets for precision medicines. Novel immunotherapies have transformed the treatment landscape for patients with B-cell ALL (B-ALL). …”
    Get full text
    Article
  4. 504

    Global research trends on biomarkers for cancer immunotherapy: Visualization and bibliometric analysis by Yuan Qiao, Dong Xie, Zhengxiang Li, Shaohua Cao, Dong Zhao

    Published 2025-12-01
    “…Furthermore, “artificial intelligence” and “machine learning” have become the most important research hotspot over the last 2 y, which will help us to identify useful biomarkers from complex big data and provide a basis for precise medicine for malignant tumors.…”
    Get full text
    Article
  5. 505

    A DNA-Methylated Sight on Autoimmune Inflammation Network across RA, pSS, and SLE by Xingqiang Wang, Dongyun Lei, Jie Ding, Shuang Liu, Li Tao, Fan Zhang, Jiangyun Peng, Jian Xu

    Published 2018-01-01
    “…With heightened focus on personalized and precise medicine, it is necessary to compare and contrast the difference and similarity of cytokine methylation status between the 3 most classic autoimmune diseases (AIDs). …”
    Get full text
    Article
  6. 506

    A pelvis MR transformer-based deep learning model for predicting lung metastases risk in patients with rectal cancer by Yin Li, Yin Li, Yin Li, Shuang Li, Shuang Li, Ruolin Xiao, Ruolin Xiao, Xi Li, Yongju Yi, Yongju Yi, Liangyou Zhang, Liangyou Zhang, You Zhou, You Zhou, Yun Wan, Chenhua Wei, Liming Zhong, Liming Zhong, Wei Yang, Wei Yang, Lin Yao, Lin Yao, Lin Yao

    Published 2025-02-01
    “…ObjectiveAccurate preoperative evaluation of rectal cancer lung metastases (RCLM) is critical for implementing precise medicine. While artificial intelligence (AI) methods have been successful in detecting liver and lymph node metastases using magnetic resonance (MR) images, research on lung metastases is still limited. …”
    Get full text
    Article
  7. 507

    Predicting the Most Deleterious Missense Nonsynonymous Single-Nucleotide Polymorphisms of Hennekam Syndrome-Causing CCBE1 Gene, In Silico Analysis by Khyber Shinwari, Liu Guojun, Svetlana S. Deryabina, Mikhail A. Bolkov, Irina A. Tuzankina, Valery A. Chereshnev

    Published 2021-01-01
    “…These highly deleterious nsSNPs can be used as marker pathogenic variants in the mutational diagnosis of the HS syndrome, and this research also offers potential insights that will aid in the development of precision medicines. CCBE1 proteins from Hennekam syndrome patients should be tested in animal models for this purpose.…”
    Get full text
    Article