This presentation outlines the rising global burden of cancer and the increasing strain on pathology services due to manual workflows and a worldwide shortage of expert pathologists. It introduces Digital Pathology as a transformative solution that uses whole-slide imaging, telepathology, and integrated digital workflows to improve diagnostic efficiency, accuracy, and accessibility. The presentation highlights the capabilities of modern scanners, the advantages of digitized slides, and the resulting improvements in collaboration, automation, and data management.
It further describes how Artificial Intelligence (AI) enhances cancer diagnosis through automated tumor detection, grading, cell counting, and predictive modeling for precision medicine. The presentation also reviews industry investment trends and explores future opportunities created by combining digital slides with clinical, genomic, and treatment data for research, clinical trials, and data-driven insights. Finally, it identifies significant opportunities to build AI-driven diagnostics, drug discovery, and advance cancer research
Speaker(s): Mr. Singhal
Virtual: https://events.vtools.ieee.org/m/543670
