The five-year collaboration aims to develop and deploy more artificial intelligence tools for faster disease detection in public and private healthcare, and advance the university's leadership in digital pathology.
With an initial investment of $10 million, Leidos, a technology services vendor in the healthcare, national security, energy and other sectors, said it hopes to accelerate the use of artificial intelligence for detecting and managing diseases in partnership with the University of Pittsburgh's Computational Pathology and AI Center of Excellence. "These efforts will also focus on developing future healthcare specialists and expanding the care that's available to underserved communities," Leidos CEO Tom Bell said in a statement on Friday. WHY IT MATTERS The new funding will help support the advancement of the university's state-of-the-art Digital Pathology Research Center to drive research in AI-driven diagnostics and digital pathology and ultimately get new tools into providers' hands. The initial focus of the five-year collaboration with CPACE will be developing AI-powered tools for quicker detection of diseases, such as heart disease and cancer, reducing diagnostic turnaround times and enabling earlier and more effective care management, Leidos said in its announcement. The multi-year collaboration includes plans for joint research projects that explore new imaging methods, advanced scanning technologies for analyzing tissue samples and improved techniques for more precise analyses of…