Advances in molecular tools and algorithms are propelling cancer and biomedical research. TACIT, a novel AI-driven algorithm developed by Virginia Commonwealth University, accelerates cell-type identification from multiplexed imaging, enabling unprecedented spatial multiomics analyses. Meanwhile, UCLA and University of Toronto scientists introduced moPepGen, a graph-based computational method enhancing detection of non-canonical peptides arising from complex genetic mutations, improving identification of neoantigens for precision immunotherapy. Additional studies reveal therapeutic potentials of natural products like Neocarzilin A inducing apoptosis via ER stress pathways and new synthetic approaches expanding terpenoid diversity through enzyme-driven scaffold hopping.