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		<title>Aiforia: Unlocking diagnostic value at Fimlab with Aiforia® Breast Cancer Suite</title>
		<link>https://tissuepathology.com/2026/08/05/aiforia-unlocking-diagnostic-value-at-fimlab-with-aiforia-breast-cancer-suite/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Wed, 05 Aug 2026 13:12:53 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Blogs]]></category>
		<category><![CDATA[Clinical Laboratories]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Health Technology Collaboration]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[International]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Aiforia]]></category>
		<category><![CDATA[Blog]]></category>
		<category><![CDATA[breast cancer]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[Fimlab]]></category>
		<category><![CDATA[Finland]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[Philips]]></category>
		<category><![CDATA[Softwarepoint]]></category>
		<category><![CDATA[workflow]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24593</guid>

					<description><![CDATA[<p>From the Aiforia blog: In modern clinical pathology, adopting artificial intelligence (AI) is no longer just about algorithm accuracy. A key success factor is seamless workflow integration. Pathology departments manage high sample volumes under strict turnaround times, with vendor lock-in and fragmented software as major obstacles to scaling their digital pathology workflows. Last June, at [&#8230;]</p>
The post <a href="https://tissuepathology.com/2026/08/05/aiforia-unlocking-diagnostic-value-at-fimlab-with-aiforia-breast-cancer-suite/">Aiforia: Unlocking diagnostic value at Fimlab with Aiforia® Breast Cancer Suite</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>Pathomation: Digital Pathology API &#038; SDK: Simplifying integration with Pathomation</title>
		<link>https://tissuepathology.com/2026/08/04/pathomation-digital-pathology-api-sdk-simplifying-integration-with-pathomation/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Tue, 04 Aug 2026 13:19:52 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[Laboratory Information Systems]]></category>
		<category><![CDATA[Laboratory Management & Operations]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[API]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Integration]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[Pathomation]]></category>
		<category><![CDATA[SDk]]></category>
		<category><![CDATA[Software]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24591</guid>

					<description><![CDATA[<p>From the Pathomation blog: Modern digital pathology software must go far beyond simple image viewing. Today’s solutions need to integrate seamlessly with laboratory systems, research platforms, AI pipelines, and web applications—while remaining scalable, secure, and high‑performance. Pathomation’s Digital Pathology API, SDKs, and plugins are designed specifically to meet these needs. By abstracting away the complexity [&#8230;]</p>
The post <a href="https://tissuepathology.com/2026/08/04/pathomation-digital-pathology-api-sdk-simplifying-integration-with-pathomation/">Pathomation: Digital Pathology API & SDK: Simplifying integration with Pathomation</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>Aiforia lands EU financing to develop AI-powered cancer detection</title>
		<link>https://tissuepathology.com/2026/08/03/aiforia-lands-eu-financing-to-develop-ai-powered-cancer-detection/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Mon, 03 Aug 2026 11:08:05 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[Press Release]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Aiforia]]></category>
		<category><![CDATA[Cancer Detection]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[European Investment Bank]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Pathology]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24586</guid>

					<description><![CDATA[<p>EIB provides €20 million venture debt financing to Finnish life-science company Aiforia, to further develop its AI powered platform used in digital tissue analysis. Supported under the European Commission’s InvestEU programme, the financing will accelerate Aiforia’s product development and boost its commercial operations. Aiforia’s deep learning artificial intelligence (AI) solutions can revolutionise diagnostic capabilities in [&#8230;]</p>
The post <a href="https://tissuepathology.com/2026/08/03/aiforia-lands-eu-financing-to-develop-ai-powered-cancer-detection/">Aiforia lands EU financing to develop AI-powered cancer detection</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>Indica Labs Introduces the HALO® ADC Target Scoring Module, Advancing Antibody-Drug Conjugate Development</title>
		<link>https://tissuepathology.com/2026/07/31/indica-labs-introduces-the-halo-adc-target-scoring-module-advancing-antibody-drug-conjugate-development/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Fri, 31 Jul 2026 11:15:06 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[Press Release]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Antibody Drug Conjugate]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[Drug Development]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Indica Labs]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[quantitative scoring]]></category>
		<category><![CDATA[spatial analysis]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24583</guid>

					<description><![CDATA[<p>Albuquerque, NM, July 30, 2026 – Indica Labs today announces the launch of the ADC Target Scoring module for the HALO® image analysis platform, a powerful new functionality that supports the development of next-generation precision oncology therapies through quantitative target scoring and spatial analysis. Antibody-drug conjugates (ADC) have emerged as one of the most promising classes of precision oncology [&#8230;]</p>
The post <a href="https://tissuepathology.com/2026/07/31/indica-labs-introduces-the-halo-adc-target-scoring-module-advancing-antibody-drug-conjugate-development/">Indica Labs Introduces the HALO® ADC Target Scoring Module, Advancing Antibody-Drug Conjugate Development</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>Indica Labs: Zero-Click Breast IHC Scoring Is Here: What’s New in HALO Breast IHC AI</title>
		<link>https://tissuepathology.com/2026/07/30/indica-labs-zero-click-breast-ihc-scoring-is-here-whats-new-in-halo-breast-ihc-ai/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Thu, 30 Jul 2026 11:51:49 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Blogs]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[breast cancer]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Indica Labs]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[tissue classification]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24580</guid>

					<description><![CDATA[<p>The latest from the Indica Labs Blog Automated biomarker scoring for breast cancer pathology just got smarter. The latest HALO Breast IHC AI release introduces new features designed to remove the remaining manual steps from HER2, ER, PR, and Ki67 workflow, delivering a true zero-click analysis experience from whole slide image to a scored result. [&#8230;]</p>
The post <a href="https://tissuepathology.com/2026/07/30/indica-labs-zero-click-breast-ihc-scoring-is-here-whats-new-in-halo-breast-ihc-ai/">Indica Labs: Zero-Click Breast IHC Scoring Is Here: What’s New in HALO Breast IHC AI</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>Indica Labs Advances Breast Cancer AI with Zero-Click Tissue Classification Prior to Biomarker Analysis</title>
		<link>https://tissuepathology.com/2026/07/29/indica-labs-advances-breast-cancer-ai-with-zero-click-tissue-classification-prior-to-biomarker-analysis/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Wed, 29 Jul 2026 12:34:01 +0000</pubDate>
				<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[Press Release]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[breast cancer]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Indica Labs]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[tissue classification]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24577</guid>

					<description><![CDATA[<p>Albuquerque, NM, July 28, 2026 – Indica Labs, the world’s leading provider of AI-powered digital pathology solutions, today announced new intelligent tissue classification capabilities for HALO Breast IHC AI, its AI-powered breast biomarker quantification suite, seamlessly deployed in HALO AP®. This enhanced new version introduces fully automated identification and exclusion of positive control tissue, ductal carcinoma in situ [&#8230;]</p>
The post <a href="https://tissuepathology.com/2026/07/29/indica-labs-advances-breast-cancer-ai-with-zero-click-tissue-classification-prior-to-biomarker-analysis/">Indica Labs Advances Breast Cancer AI with Zero-Click Tissue Classification Prior to Biomarker Analysis</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
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