Pathoverse Part 7: This is Just the Beginning

This article summarizes part 7of our “Into the Pathoverse” webinar, recorded at Pathology Visions 2025 in San Diego and available on-demand. This segment starts at 53:32 in the full video. Watch the full video.

In the closing segment of the Pathoverse webinar, Dr. Raj Singh brought the day’s presentations into powerful focus. Across all the innovations showcased—from remote consult workflows and cloud infrastructure to AI-driven trial acceleration and virtual restaining—one message became unmistakably clear: the future of pathology will be built through collaboration, interoperability, and shared purpose.

Dr. Singh emphasized that the collective work taking place across leading academic centers, technology companies, AI laboratories, and global clinical partners represents only the beginning. The solutions presented throughout the event—ConsultConnect, Grundium’s scanners, AWS HealthImaging, Imagenomix Predict, DeepLIIF, and more—are not isolated projects. They are foundational components of a much larger transformation.

Pathology at the Center of Precision Medicine

Raj began by reflecting on the extraordinary talent contributing to this transformation. The partners represented during the webinar come from world-class institutions and companies, each pushing the boundaries of what digital pathology can accomplish. Together, he argued, they are redefining the role of pathology within precision medicine.

Historically, pathology has often been perceived as a diagnostic endpoint: a final confirmation at the end of a process. But the industry is changing. With high-resolution whole-slide imaging, AI-augmented interpretation, cloud-enabled data exchange, and global-scale collaboration, pathology is rapidly becoming a central engine for precision healthcare.

Digital pathology is now informing clinical trials, helping select targeted therapies, powering biomarker discovery, supporting global consultations, and enabling real-time quantitative analysis at speeds unreachable in the analog era. The field is no longer asking why digital pathology is needed—it is asking how far and how fast it can go.

Digital Pathology as a Growth Engine—not a Cost Center

Dr. Singh highlighted a mental shift underway at top institutions such as MSKCC, OSU, UPMC, and Mayo Clinic. These organizations have moved beyond the early questions of implementation, cost, or justification. Today, they see digital pathology as a strategic growth driver, a way to expand service lines, accelerate research, support global collaborations, and unlock new revenue streams.

The traditional framing of digital pathology as an expensive technology investment is fading. In its place is a new understanding: when integrated into a platform like PathPresenter, digital pathology becomes a source of clinical efficiency, innovation, and institutional differentiation.

Through examples shared earlier in the webinar, Raj illustrated how labs are already extracting value:

• Consultation as a service, enabled by ConsultConnect
  
• AI as a service, allowing institutions to run third-party models on demand
  
• Research and industry partnerships, powered by large-scale, interoperable datasets
  
• Accelerated clinical trials, through platforms like Imagenomix Predict
  
• Workflow efficiencies, through integrated viewers, cloud infrastructure, and AI-driven insights
  

When institutions collaborate and leverage shared digital infrastructure, the economics of pathology change and the benefits multiply.

Unlocking the Value of Data Through Collaboration

A major theme of Dr. Singh’s conclusion was the growing ability of institutions to unlock the value of their data. Through PathPresenter, hospitals can share de-identified data securely with partners, run AI modules from a variety of vendors, or even support other institutions by offering AI inference as a service.

This model expands access in meaningful ways. A lab that uses a specific algorithm only a handful of times per year no longer needs long-term contracts or licenses; instead, they can upload a slide to a participating institution’s portal and receive results immediately. This approach mirrors the transformation seen earlier with digital consults, and represents the next phase of democratized AI in pathology.

A Global Network of Connected Hospitals

Dr. Singh emphasized that PathPresenter’s vision is profoundly global. While the platform already supports the largest network of U.S. institutions using digital pathology, expansion is accelerating across the Middle East, Asia, and South America.

The goal is simple but ambitious:
Connect institutions worldwide so they can share expertise, consult with each other seamlessly, and collaborate on research—regardless of geography or resource availability.

This federated network enables:

• Easier consultations across continents
• Shared AI testing and deployment
• Large-scale validation studies
• Equitable access to specialized expertise
• Cross-border clinical trial support

As digital pathology infrastructures mature, the global federated model will become increasingly central to innovation, patient care, and scientific discovery.

A Call to Action: Join the Pathoverse

Dr. Singh closed with an inspiring metaphor: everyone working to advance pathology is a “superhero,” each bringing unique strengths, insights, and innovations. But the real power comes when these efforts converge.

The Pathoverse aims to unite those superheroes into a connected ecosystem—one where silos disappear, data flows freely, and the world of pathology acts as a single, collaborative community.

The message was clear: There is no other way to succeed except by working together.

Whether through shared research infrastructure, AI partnerships, cloud-enabled workflows, or international collaboration, the future of pathology depends on collective action.

Dr. Singh invited everyone, from pathologists, researchers, technologists, AI companies, to healthcare leaders, to join the movement. The Pathoverse is open, growing, and ready to accelerate the global evolution of digital pathology.

Dive farther Into the Pathoverse:

Watch the complete video.

Part 1: Introducing the Pathoverse and How We Got Here – Dr. Raj Singh, PathPresenter

Part 2: Seeking Seamless Remote Consultations – Dr. Raj Singh, PathPresenter

Part 3: Lowering Barriers and Driving Consult Efficiency – Todd Vanden Branden, Grundium

Part 4: Cloud Infrastructure for Scalable Digital Pathology – Sasha Paegle, AWS

Part 5: Accelerating Clinical Trial Enrollment – Travis Wold, Imagenomix 

Part 6: Virtual Restaining for Scalable, High-Accuracy Pathology AI – Dr. Saad Nadeem, DeepLIIF/Memorial Sloan Kettering

Part 7: Conclusions: This is Just the Beginning – Dr. Raj Singh, PathPresenter

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