Researchers have unveiled new AI-driven computational tools transforming biomarker discovery and medical imaging analysis. The recently published moPepGen platform enhances detection of diverse protein variants in proteomics data, broadening disease mutation identification. Concurrently, a novel fluorescence microscopy technique employs Bayesian modeling and machine learning to surpass resolution limits, enabling precise molecular counts in diffraction-limited spots. These technologies promise to refine diagnostic accuracy and deepen insights into cancer pathogenesis.