Imogen Fitt from Signify Research joins us for the October Digital Pathology Roundup, which highlights significant developments in digital pathology and related fields, focusing on funding, telepathology, generative AI, and enterprise imaging.

Funding: Mindpeak GmbH secured $15.3 million in Series A funding led by ZEISS Ventures and other notable investors, aiding product development and geographic expansion. Aignostics raised €31.4 million in Series B funding, backed by Athos Partners and Mayo Clinic Ventures, to enhance its platform for translational research and companion diagnostics, following a partnership with Bayer. StratifAI obtained €1.5 million in pre-seed funding from Neulogy Ventures and others to support digital biomarker development for breast cancer and biopharma services.

Telepathology Services: Inify Laboratories announced its expansion into the UK market, focusing on prostate cancer diagnostics, backed by SEK 150 million funding to develop AI for gastrointestinal diagnostics. Originally part of ContextVision AB, Inify pivoted to telepathology using AI. In the US, NorDx adopted PreciPoint's Advanced Digital Pathology Solutions for frozen section diagnostics, emphasizing AI’s role in improving diagnostic turnaround times, a trend supported by investments from major players like Quest Diagnostics.

Generative AI: Proscia introduced "Concentriq Embeddings" and a Developer Toolkit to assist AI development for life sciences. These tools use foundation models like DINOv2 and ConvNext to generate data embeddings from slide images, enabling customized AI workflows and integration.

Enterprise Imaging: Gestalt partnered with Optum to integrate its PathFlow solution into Optum’s Enterprise Imaging Suite. This collaboration, involving Change Healthcare (acquired by Optum), represents a strategic move to advance digital pathology within enterprise healthcare platforms.These advancements underline the growing role of AI and digital solutions in pathology, fostering innovation and collaboration across the industry