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	<title>Blogs | Tissuepathology.com</title>
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		<title>Proscia: Reflections on KLAS’ US Digital Pathology Report: What it Means to Be a Long-Term Partner</title>
		<link>https://tissuepathology.com/2026/05/14/proscia-reflections-on-klas-us-digital-pathology-report-what-it-means-to-be-a-long-term-partner/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Thu, 14 May 2026 12:27:38 +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[digital pathology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[KLAS Research]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[Proscia]]></category>
		<category><![CDATA[US Digital Pathology Report]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24416</guid>

					<description><![CDATA[<p>From the Proscia blog: Going digital is a huge feat, and something well worth celebrating. But the labs seeing the biggest returns chose a platform that keeps compounding value long after go-live, scaling across departments and teams without friction, opening new revenue streams, and evolving alongside their ambitions. KLAS Research’s Digital Pathology 2026 report reinforces the importance of [&#8230;]</p>
The post <a href="https://tissuepathology.com/2026/05/14/proscia-reflections-on-klas-us-digital-pathology-report-what-it-means-to-be-a-long-term-partner/">Proscia: Reflections on KLAS’ US Digital Pathology Report: What it Means to Be a Long-Term Partner</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
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		<item>
		<title>Proscia: From Glass Slide to Molecular Proxy: The Pathology AI Convergence at AACR 2026</title>
		<link>https://tissuepathology.com/2026/05/12/proscia-from-glass-slide-to-molecular-proxy-the-pathology-ai-convergence-at-aacr-2026/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Tue, 12 May 2026 11:51:45 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Blogs]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Whole slide]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Biopharma]]></category>
		<category><![CDATA[Blog]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[Proscia]]></category>
		<category><![CDATA[Whole Slide]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24412</guid>

					<description><![CDATA[<p>From the Proscia blog: We’ve long said that the next major therapeutic breakthrough may lie in pathology data that already exists. At this year’s AACR Annual Meeting, it became clear the biopharma community is arriving at the same conclusion. Across more than 7,000 abstracts presented in San Diego, multiple independent groups demonstrated that AI applied [&#8230;]</p>
The post <a href="https://tissuepathology.com/2026/05/12/proscia-from-glass-slide-to-molecular-proxy-the-pathology-ai-convergence-at-aacr-2026/">Proscia: From Glass Slide to Molecular Proxy: The Pathology AI Convergence at AACR 2026</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
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		<item>
		<title>What’s New in Glencoe Software’s PathViewer 3.16.1</title>
		<link>https://tissuepathology.com/2026/04/30/whats-new-in-glencoe-softwares-pathviewer-3-16-1/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Thu, 30 Apr 2026 13:30:19 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Blogs]]></category>
		<category><![CDATA[Clinical Laboratories]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[Glencoe Software]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[software update]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24388</guid>

					<description><![CDATA[<p>From the Glencoe Software blog We are excited to announce the release of PathViewer 3.16.1! This version introduces enhanced mask support, improved channel controls, and expanded dataset-level annotation customization. Auto-Min/Max Channel Control An auto-min/max button has been added to the Viewing Options channel controls, allowing all visible channels to be scaled to their histogram range [&#8230;]</p>
The post <a href="https://tissuepathology.com/2026/04/30/whats-new-in-glencoe-softwares-pathviewer-3-16-1/">What’s New in Glencoe Software’s PathViewer 3.16.1</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
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		<title>Tribun Health CaloPix Connect: An Open API to Integrate AI into the Digital Pathology Workflow</title>
		<link>https://tissuepathology.com/2026/04/13/tribun-health-calopix-connect-an-open-api-to-integrate-ai-into-the-digital-pathology-workflow/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Mon, 13 Apr 2026 12:24:14 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Blogs]]></category>
		<category><![CDATA[Clinical Laboratories]]></category>
		<category><![CDATA[Data Management]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Health Technology Collaboration]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Web/Tech]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Aiforia]]></category>
		<category><![CDATA[case management]]></category>
		<category><![CDATA[DeepPath]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[IBEX]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Open API]]></category>
		<category><![CDATA[Owkin]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[Primaa]]></category>
		<category><![CDATA[Qritive]]></category>
		<category><![CDATA[slide visualization]]></category>
		<category><![CDATA[Tribune Health]]></category>
		<category><![CDATA[workflow organization]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24346</guid>

					<description><![CDATA[<p>From the Tribun Health blog: Discover CaloPix Connect, Tribun Health’s open API to seamlessly integrate AI into pathology workflows, without disruption or added complexity. Artificial Intelligence is rapidly transforming pathology. Automated metastasis detection, biomarker quantification, scoring assistance, therapeutic prediction—the use cases are multiplying and paving the way for faster, more precise diagnoses. Yet one major challenge [&#8230;]</p>
The post <a href="https://tissuepathology.com/2026/04/13/tribun-health-calopix-connect-an-open-api-to-integrate-ai-into-the-digital-pathology-workflow/">Tribun Health CaloPix Connect: An Open API to Integrate AI into the Digital Pathology Workflow</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>Proscia: Why Precision Medicine Needs an Enterprise Digital Pathology Backbone, Not Just a Vendor</title>
		<link>https://tissuepathology.com/2026/04/10/proscia-why-precision-medicine-needs-an-enterprise-digital-pathology-backbone-not-just-a-vendor/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Fri, 10 Apr 2026 12:19:08 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Blogs]]></category>
		<category><![CDATA[Clinical Pathology]]></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[Blog]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[oncology]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[Precision Medicine]]></category>
		<category><![CDATA[Proscia]]></category>
		<category><![CDATA[workflow]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24344</guid>

					<description><![CDATA[<p>From the Proscia blog: How Proscia’s Concentriq platform transforms fragmented workflows into a scalable, AI-ready engine for precision medicine growth. Precision medicine is the frontier of modern oncology. Precision medicine companies are processing unprecedented molecular volumes, serving distributed health system networks, and racing to deploy AI-driven diagnostics that can meaningfully improve patient outcomes. However, the [&#8230;]</p>
The post <a href="https://tissuepathology.com/2026/04/10/proscia-why-precision-medicine-needs-an-enterprise-digital-pathology-backbone-not-just-a-vendor/">Proscia: Why Precision Medicine Needs an Enterprise Digital Pathology Backbone, Not Just a Vendor</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
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		<item>
		<title>Proscia: What Proscia’s Top KLAS Ratings Mean for Life Sciences Companies</title>
		<link>https://tissuepathology.com/2026/03/13/proscia-what-proscias-top-klas-ratings-mean-for-life-sciences-companies/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Fri, 13 Mar 2026 14:34:12 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Blogs]]></category>
		<category><![CDATA[Business]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[International]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[2026 KLAS Digital Pathology Report]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[Europe]]></category>
		<category><![CDATA[Global 2026 Best in KLAS]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Life sciences]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[Proscia]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24285</guid>

					<description><![CDATA[<p>The latest from the Proscia blog: By Ritida Nanda &#124; March 12, 2026 Proscia has been named Global 2026 Best in KLAS for Digital Pathology in Europe and earned the top performance score in the U.S. in the 2026 KLAS Digital Pathology Report. Here’s why life sciences organizations should take notice. Every clinical trial with a [&#8230;]</p>
The post <a href="https://tissuepathology.com/2026/03/13/proscia-what-proscias-top-klas-ratings-mean-for-life-sciences-companies/">Proscia: What Proscia’s Top KLAS Ratings Mean for Life Sciences Companies</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
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