Technological advances in diagnostics leverage multi-omics and AI to improve disease detection and personalized medicine. Novel urinary vesicle proteomics identify CD35 as a biomarker for early sepsis-related kidney injury. AI-integrated clinical tools predict neonatal conditions and chronic kidney disease subtypes via retinal image analysis. Proteomic profiling collaborations are underway to elucidate neurodegenerative processes and healthy aging. These methods enhance the resolution of disease progression markers, fostering timely interventions.