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June 2025

Experience the Broadest Collection of AI Models in Pathology

2025-06-26T13:03:19+00:00

The 21st European Congress on Digital Pathology takes place this week in Barcelona. Aiforia’s team will be there with the largest and most effective AI selection in digital pathology.  See it in action! You can find Aiforia at booth #51 in the middle of the left-side Exhibition area.  Based on your interests, Aiforia's experts can organize [...]

Experience the Broadest Collection of AI Models in Pathology2025-06-26T13:03:19+00:00

Less is More: Compact AI Model Accurately Identifies Dividing Cancer Cells

2025-06-23T11:17:51+00:00

by Christos Evangelou, MSc, PhD – Medical Writer and Editor In a recent publication, researchers presented a novel deep learning approach for accurate mitosis detection in digital pathology. Proof-of-concept studies showed that, despite being computationally small, this new model is efficient and outperforms larger, more complex systems in detecting dividing cancer cells.1 The model also [...]

Less is More: Compact AI Model Accurately Identifies Dividing Cancer Cells2025-06-23T11:17:51+00:00

Meet aetherAI at ECDP 2025 – Explore End-to-End Digital Pathology Integration

2025-06-23T09:00:44+00:00

Join aetherAI at the 21st European Congress on Digital Pathology (ECDP 2025) to discover how advanced AI-driven solutions and seamless integration are reshaping pathology workflows—from initial scanning to insightful diagnosis. At their booth, you'll experience: ●     Holistic, vendor-neutral pathology platform optimizing clinical efficiency ●     Real-world case studies from leading hospitals across Europe and Asia Let’s shape [...]

Meet aetherAI at ECDP 2025 – Explore End-to-End Digital Pathology Integration2025-06-23T09:00:44+00:00

Techcyte and Pramana Unveil Smart, Inline, Volumetric Digital Microbiology Scanning

2025-08-11T16:00:40+00:00

Techcyte and Pramana today announced the upcoming launch of smart, inline, volumetric scanning. This innovation aims to set the standard for how microbiology slides are digitized. Techcyte algorithms can now be run on Pramana scanners during scanning, delivering the highest quality imaging of parasitology, gram, and AFB slides. Digitizing microbiology slides is a significant challenge for most whole [...]

Techcyte and Pramana Unveil Smart, Inline, Volumetric Digital Microbiology Scanning2025-08-11T16:00:40+00:00

Pramana and Techcyte Unveil Smart, Inline, Volumetric Digital Microbiology Scanning

2025-09-16T10:24:54+00:00

Techcyte and Pramana today announced the upcoming launch of smart, inline, volumetric scanning. This innovation aims to set the standard for how microbiology slides are digitized. Techcyte algorithms can now be run on Pramana scanners during scanning, delivering the highest quality imaging of parasitology, gram, and AFB slides. Digitizing microbiology slides is a significant challenge for most whole [...]

Pramana and Techcyte Unveil Smart, Inline, Volumetric Digital Microbiology Scanning2025-09-16T10:24:54+00:00

Enhancing Flexibility and Performance with the Latest Aperio GT 450 Updates

2026-05-22T14:42:20+00:00

Summary Recent updates to the Aperio GT 450 introduce exciting new capabilities, including scanning at 20x, z-stack acquisition, and manual scanning options for challenging slides. These enhancements bring even greater flexibility to the Aperio GT 450 platform, building on its well-established speed and throughput advantages. Charles River Laboratories, a long-time user of the Aperio AT2 [...]

Enhancing Flexibility and Performance with the Latest Aperio GT 450 Updates2026-05-22T14:42:20+00:00

elea Showcases Cutting-edge AI for Clinical Documentation at HLTH Europe 2025 in Amsterdam

2025-06-26T08:05:01+00:00

elea.ai GmbH, a deep tech company pioneering AI-driven medical software, took part in this year’s HLTH Europe in Amsterdam - one of the leading platforms for shaping the future of healthcare. In a series of insightful conversations with healthcare decision-makers, investors, and innovators, elea presented its vision for a fully AI-supported, interoperable, and user-friendly approach to clinical [...]

elea Showcases Cutting-edge AI for Clinical Documentation at HLTH Europe 2025 in Amsterdam2025-06-26T08:05:01+00:00

GI Alliance, the Nation’s Leading GI Network, Selects Lumea’s Viewer+ to Power Digital Pathology Transition

2025-06-25T08:08:10+00:00

Lumea’s Viewer+™ digital pathology platform was selected by GI Alliance, a top US GI network, to enhance diagnostic efficiency and workflow nationwide. GI Alliance, the leading physician-led network of gastroenterology providers in the United States, has selected Lumea’s Viewer+™ technology to power its entry into digital pathology. This strategic decision marks a significant leap forward in GI Alliance’s [...]

GI Alliance, the Nation’s Leading GI Network, Selects Lumea’s Viewer+ to Power Digital Pathology Transition2025-06-25T08:08:10+00:00

EVIDENT Introduces the SLIDEVIEW™ DX VS200 Whole Slide Scanner, a CE-Marked Device Under the EU IVDR

2025-06-25T08:08:22+00:00

The CE-marked whole slide scanner, compliant with the EU IVDR, supports clinical laboratories in the European Union with high-performance imaging for diagnostic use Evident, a global leader in microscopy solutions, announces the launch of the SLIDEVIEW™ DX VS200 universal whole slide imaging scanner, a CE-marked device under the EU IVDR (Regulation (EU) 2017/746) for use [...]

EVIDENT Introduces the SLIDEVIEW™ DX VS200 Whole Slide Scanner, a CE-Marked Device Under the EU IVDR2025-06-25T08:08:22+00:00

Digital Pathology and AI Highlights from ASCO 2025

2025-06-24T12:38:52+00:00

By Ashley Faber Oncologists, pathologists, researchers, and industry leaders recently gathered at ASCO 2025 in Chicago to share the latest breakthroughs in cancer research and care. Among the key themes: the accelerating impact of digital pathology and AI in advancing patient outcomes and transforming R&D strategies in precision oncology. The research presented revealed a [...]

Digital Pathology and AI Highlights from ASCO 20252025-06-24T12:38:52+00:00
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