One groundbreaking development in pathology and cancer detection is the augmented reality microscope (ARM). During a session at Google Cloud Next ’24, experts discussed how the ARM is poised to revolutionize cancer diagnosis. The initiative is a collaboration between the Departments of Defense and Veterans Affairs (VA), DOD’s Defense Innovation Unit, Google Public Sector and Jenoptik.

The AI-assisted microscope provides not only a view of how AI is increasing the diagnostic accuracy and efficiency of cancer detection but also its ability to operate on edge devices to support medical and other professionals. That allows those professionals to operate locally, independent of internet or cloud connectivity. That’s becoming increasingly critical as the number of experienced healthcare specialists qualified to perform diagnostic evaluations is declining in the U.S.

ARM’s impact also extends beyond individual diagnoses. By digitizing tissue samples and harnessing the power of AI, the microscope eliminates geographical barriers, ensuring that patients everywhere have access to the expertise of top-tier pathologists.

A look at the development process

The genesis of the ARM lies in the recognition of a critical challenge faced by pathologists — the meticulous task of analyzing tissue slides, often numbering in the hundreds, to detect cancerous abnormalities. While traditional microscopes are indispensable, they present inherent limitations in terms of efficiency and accuracy, which are compounded by the sheer volume of data pathologists need to process.

The ARM integrates artificial intelligence (AI) into the diagnostic process. At its core, this device leverages AI algorithms deployed on the edge to analyze digitized tissue samples in real time. This transformative approach enables pathologists to identify potential abnormalities with unprecedented speed and precision, significantly enhancing diagnostic accuracy.

“The job of pathologists is to make sure that what we do is very accurate and that we can identify the disease. We don’t want to make a mistake,” said Dr. Nadeem Zafar, director of pathology and laboratory medicine service at Veterans Affairs Puget Sound. “This is where the technology comes in, and this is why we are so excited about it.”

The development process of the (ARM) also illustrates the power of collaboration. “Here at Google… we don’t just want to incrementally improve things like cancer diagnosis; we want to do it at scale,” said Scott Frohman, head of defense programs for Google Cloud. “And this project enabled us to think and connect and do something good for humanity.”

Current and future impacts

Central to the microscope’s functionality is its ability to highlight areas of interest detected by AI algorithms, providing pathologists with guidance during the diagnostic process. In addition, combining AI-driven insights with human expertise will empower healthcare professionals to make more informed decisions with greater confidence.

“Why I’m so excited about this technology is that it will bring so many experts to your desktop — while in the workflow, while in the flow of time,” Dr. Zafar said. “This is not something you have to learn. As long as you have the software… it will start giving you the heatmap and help detect cancer. So this is brilliant.”

In addition, this endeavor’s success underscores the pivotal role of public-private partnerships in driving innovation and advancing healthcare. Through concerted efforts and a shared vision, stakeholders across government, industry, and academia have made the ARM a reality, with tangible benefits for patients and healthcare providers alike.

“We know that we can’t solve these kinds of problems alone. So the partnership that we have with the government has been fantastic for bringing the subject matter expertise, the data, and the commitment to solving this problem with us,” said Frohman. “And it helps us to do the mission that we have at Google — making information available and accessible during cancer and making the human condition better every day.”

Thanks to AI and edge computing, the ARM promises to redefine the standard of care in pathology, offering new hope in the relentless pursuit of a cancer-free future.

Learn more about how Google Public Sector can help your organization “Kickstart your generative AI journey.”

This article was produced by Scoop News Group and sponsored by Google Public Sector. Google Public Sector is an underwriter of AI Week.

The post How DOD and Google Public Sector partnered using AI to fight cancer appeared first on FedScoop.

The agency will end use of the Defense Medical Logistics Standard Support (DMLSS) system, which is a local server-based application that supports internal medical logistics at military hospitals or clinics, including in war zones.

In procurement documents on SAM.gov, the department said that it will now seek a new supply chain solution that must operate in the VA’s technical production environment, either in the VA cloud or in another FedRAMP certified cloud.

 “As the largest integrated healthcare system in the country, our supply chain logistics solution must meet the needs of the 1,298 medical facilities in our network and the millions of veterans that we serve—and this transition will help us do exactly that,” said Michael D. Parrish, VA’s chief acquisition officer.

In February under pressure from lawmakers, the VA said it would take a second look at the DMLSS contract to determine if it was the right fit for the agency, and said it was considering other options. 

Pressure to drop the DMLSS contract has been building since the VA’s Office of Inspector General (OIG) released a report in November 2021 that found failures in VA’s pilot project to deploy the DMLSS system at the Captain James A. Lovell Federal Health Care Center in North Chicago, Illinois.

The OIG report found the DMLSS system did not meet 44% of the high-priority business requirements identified by Lovell hospital staff as essential to their  operations.

To create a supply chain infrastructure that improves the veteran experience, VA told reporters Tuesday that it will cancel future DMLSS deployments. The agency said it will work with the Defense Health Agency (DHA) to modify the current agreement and allow the VA to continue to fund joint operations at Lovell hospital.

The VA said it will establish the new Office of Enterprise Supply Chain Modernization in the coming months to oversee its supply chain transformation effort. The agency expects a new supply chain logistics solution contract by 2023. 

The post VA drops supply chain management IT system, hunts for new solution appeared first on FedScoop.

Halfaker provides healthcare IT services to government departments including the Department of Defense and the Department of Veterans Affairs. It is among the top largest five IT providers by awarded task orders on the VA’s Transformation Twenty-One Total Technology Next Generation acquisition program.

Halfaker President and CEO Dawn Halfaker said: “The alignment of SAIC’s culture and values with this important mission has been critical in making the decision to join forces and successfully bolster the services we provide our customers with even greater digital transformation capacity and scalability.”

The transaction is expected to close by July 30 this year, subject to closing conditions. Halfaker is headquartered in Arlington, Virginia.

Last month the National Institutes of Health has issued a request for proposals for its long-awaited governmentwide acquisition vehicle that will give up to $50 to federal contractors over a 10-year period.

The CIO-SP4 vehicle has 10 task areas including IT services, CIO support, cybersecurity, digital government and cloud services and software development.

The post Federal health IT provider Halfaker and Associates to be acquired for $250M appeared first on FedScoop.