There are more than 1 million people globally living with some form of blood cancer. Understanding blood cancer symptoms and early treatment are critical to patient survival.
Eliminating the need for manual microscopy, this is the first full-field imaging and AI-powered Decision Support System (DSS) with remote review of the dgital image from anywhere through the secure hospital network.
Tom Allen covers the journey of Erez Naaman with Scopio Labs, use cases of AI in Diagnotics and Healthcare, the need of expertise in Health Tech AI, and real life examples of a Cancer Detection AI model.
CM Life Science Business Manager, Nathan Rigby, speaks with Erez Naaman sharing his insights into the development of Scopio, trends in AI and how he believes this affects the future of healthcare.
Scopio Labs is transforming the process of cell morphology analysis, offering a suite of digital platforms that drastically enhance clinical workflows and enable faster, earlier, and more accurate detection and diagnosis of disease, expediting patients’ access to life-saving treatments.
A special focus on the impact and the future potential of artificial intelligence and the role of diagnostics, the obvious impacts of COVID and the accelerated digitalization (not to be confused with digitization).
There are more than 1 million people globally living with some form of blood cancer. Understanding blood cancer symptoms and early treatment are critical to patient survival.