Leidos Invests $10 Million to Advance AI-Powered Disease Detection Tools

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Published inAI News · 3 min read · Apr 22, 2025

Leidos recently announced a $10 million investment over the next five years to partner with the University of Pittsburgh's Center for Computational Pathology and Artificial Intelligence Excellence (CPACE) to develop AI-powered tools for disease detection and management. The initial focus of this collaboration is leveraging AI to accelerate the detection of heart disease and cancer, improving diagnostic turnaround time, and ultimately facilitating more effective healthcare management.

AI Robot and Money Investment

Image Source Note: Image generated by AI, licensed through Midjourney.

Leidos CEO Tom Bell stated that this investment aims to accelerate treatment for various diseases affecting millions annually. He further emphasized that these efforts will also focus on cultivating future healthcare professionals and expanding access to care for underserved populations, including veterans.

Under the agreement, Leidos and the University of Pittsburgh will jointly explore novel imaging approaches and advanced scanning technologies to analyze tissue samples and improve medical image analysis techniques. They will also collaborate on a comprehensive educational program, including sharing industry best practices, annual workshops, and internship opportunities, to cultivate the next generation of healthcare and AI innovators.

Key objectives of this five-year collaboration include establishing CPACE's digital pathology research center as a world-class facility, assisting Leidos in developing digital health solutions, supporting advancements in digital health and diagnostics, and accelerating the deployment of AI-driven digital pathology solutions, positioning Leidos for leadership in the commercialization of innovative medical technologies.

Key Highlights:
🌟 Leidos invests $10 million to partner with the University of Pittsburgh in developing AI-assisted disease detection tools.
💡 Focuses on heart disease and cancer detection, improving diagnostic efficiency and healthcare management.
👩‍⚕️ The collaboration will also cultivate future healthcare professionals and expand healthcare access for underserved populations.

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