Abstract

Early disease detection is crucial across a spectrum of health conditions, from cancer and neurodegenerative disorders to sepsis and developmental delays. This involves integrating diverse methods including advanced imaging, novel biomarkers, and Artificial Intelligence-driven analytics. Significant progress is being made in identifying subtle disease indicators before clinical symptoms appear, enabling earlier, more effective interventions. The overarching aim is to improve diagnostic accuracy, expand screening accessibility, and ultimately enhance patient outcomes and quality of life by altering disease trajectories. Continued innovation and translation into clinical practice remain essential for public health advancements.