Sectra Expands AI Services to Pathology with Paige.AI Partnership

Apr 8, 2025
Sectra has signed a distribution agreement with Paige.AI to include pathology in its AI services, offering a unified solution for cancer diagnostics.
Sectra Expands AI Services to Pathology with Paige.AI Partnership

Sectra has signed a distribution agreement with Paige.AI, extending its fully managed AI services to include pathology. Announced in a press release, this collaboration marks the first time Sectra will offer AI applications for pathology through a single contract, hosting solution, and vendor for implementation, integration, and support.

The agreement allows Sectra to provide a unified AI solution for radiology, cardiology, and now pathology, enhancing collaboration across these specialties to optimize cancer diagnostics. The Sectra Amplifier Service, a cloud-based platform, will host these applications, simplifying the management of AI tools for healthcare providers by integrating them into a single infrastructure.

As part of this initiative, a proof-of-concept project has been launched with Region Skåne in Sweden, focusing on the Paige Prostate Suite. This project aims to integrate AI into pathology workflows, providing automated diagnostic results to improve accuracy and efficiency in prostate cancer care. The insights gained from this project are expected to inform future AI implementations both within and beyond Region Skåne.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Life AI Weekly

Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.