Imaging and radiology are cornerstones of cancer diagnosis and management. Innovations in MRI, CT, and PET scans have enhanced tumor visualization, enabling precise staging and monitoring. Functional imaging techniques, such as diffusion-weighted MRI, provide insights into tumor biology and treatment response. Artificial intelligence (AI) is transforming the field, offering rapid image analysis, pattern recognition, and predictive analytics for personalized care. AI-powered imaging tools aid in detecting subtle abnormalities and reducing diagnostic errors, enhancing early cancer detection. These advancements are shaping the future of non-invasive cancer diagnostics and treatment planning.
Title : A novel blood-based mRNA genomics technology for cancer diagnosis and treatment
Rajvir Dahiya, University of California San Francisco, United States
Title : tRNA-derived fragment 3′tRF-AlaAGC modulates cell chemoresistance and M2 macrophage polarization via binding to TRADD in breast cancer
Feng Yan, The Affiliated Cancer Hospital of Nanjing Medical University, China
Title : Integrating single-cell and spatial transcriptomics to uncover and elucidate GP73-mediated pro-angiogenic regulatory networks in hepatocellular carcinoma
Jiazhou Ye, Guangxi Medical University Cancer Hospital, China
Title : Unveiling the synergism of radiofrequency therapy and graphene nanocomposite in tumor cell viability assay
Paulo Cesar De Morais, Catholic University of Brasilia, Brazil
Title : Analysis of the dynamic evolution and influencing factors of nutritional risk in breast cancer patients during treatment
Jingwen Yan, Sun Yat-sen University, China
Title : Integrative multi-omics reveals metabolic–stemness coupling and novel therapeutic targets in osteosarcoma chemoresistance
Jinyan Feng, Tianjin Medical University Cancer Institute and Hospital, China