Advancements in imaging and AI-driven models are enhancing cancer diagnostics and treatment predictions. A novel CT radiomics model improves discrimination between liver tumor types prior to surgery. AI-assisted pathology enhances accuracy in assessing tumor-infiltrating lymphocytes in skin cancer. Latest molecular imaging agents like [68Ga]NXK-44 radiotracers enable better hypoxic tumor and renal cell carcinoma visualization. AI-powered protein barcoding technology accelerates mRNA therapeutics screening, while spatial biology tools integrate multiomic data to map tumor architectures, pushing personalized oncology forward.