<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Government | Tissuepathology.com</title>
	<atom:link href="https://tissuepathology.com/category/posts/government-and-regulation/feed/" rel="self" type="application/rss+xml" />
	<link>https://tissuepathology.com</link>
	<description>Educational and informative</description>
	<lastBuildDate>Thu, 04 Dec 2025 13:51:20 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	

<image>
	<url>https://tissuepathology.com/wp-content/uploads/2017/07/cropped-Portrait_640x960px-32x32.png</url>
	<title>Government | Tissuepathology.com</title>
	<link>https://tissuepathology.com</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>Proscia Achieves SOC 2 Type II Certification, Strengthening Enterprise Trust</title>
		<link>https://tissuepathology.com/2025/12/04/proscia-achieves-soc-2-type-ii-certification-strengthening-enterprise-trust/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Thu, 04 Dec 2025 13:51:20 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Data Management]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[General Healthcare News]]></category>
		<category><![CDATA[Government]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[Laboratory Compliance]]></category>
		<category><![CDATA[Laboratory Information Systems]]></category>
		<category><![CDATA[Laboratory Management & Operations]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Press Release]]></category>
		<category><![CDATA[Standards and Guidelines]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[availability]]></category>
		<category><![CDATA[Compliance]]></category>
		<category><![CDATA[confidentiality]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[merican Institute of Certified Public Accountants]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[Proscia]]></category>
		<category><![CDATA[Security]]></category>
		<category><![CDATA[SOC 2 Type II Certification]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24093</guid>

					<description><![CDATA[<p>Compliance with independent security standards comes as Proscia accelerates digital pathology deployments at scale PHILADELPHIA – December 3, 2025 – Proscia®, a pathology AI company, has successfully completed its SOC 2 Type II audit. This milestone underscores the company’s enterprise-grade security and operational rigor, reinforcing its role as the partner of choice for large-scale digital pathology [&#8230;]</p>
The post <a href="https://tissuepathology.com/2025/12/04/proscia-achieves-soc-2-type-ii-certification-strengthening-enterprise-trust/">Proscia Achieves SOC 2 Type II Certification, Strengthening Enterprise Trust</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>Diagnexia Achieves Full UKAS Accreditation for Oxford Histopathology Laboratory and Digital Pathology Services</title>
		<link>https://tissuepathology.com/2025/11/06/diagnexia-achieves-full-ukas-accreditation-for-oxford-histopathology-laboratory-and-digital-pathology-services/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Thu, 06 Nov 2025 13:50:26 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Government]]></category>
		<category><![CDATA[Histology]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[International]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Press Release]]></category>
		<category><![CDATA[Whole slide]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Diagnexia]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[histopathology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Oxford]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[UKAS Accreditation]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24030</guid>

					<description><![CDATA[<p>From Backlogs to Rapid Diagnosis: Diagnexia Secures Full UKAS Accreditation for End-to-End Histopathology OXFORD, UK – 04/11/2025 – Responding to increasing demand for reliable pathology reporting across the NHS, Diagnexia UK Limited has achieved UKAS accreditation* to ISO 15189:2022 for its Histology laboratory, Oxford, enabling trusts to access a fully accredited end-to-end histopathology service from specimen [&#8230;]</p>
The post <a href="https://tissuepathology.com/2025/11/06/diagnexia-achieves-full-ukas-accreditation-for-oxford-histopathology-laboratory-and-digital-pathology-services/">Diagnexia Achieves Full UKAS Accreditation for Oxford Histopathology Laboratory and Digital Pathology Services</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>Artera Achieves Nationwide Access for its ArteraAI Prostate Test with New York State License</title>
		<link>https://tissuepathology.com/2025/06/13/artera-achieves-nationwide-access-for-its-arteraai-prostate-test-with-new-york-state-license/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Fri, 13 Jun 2025 10:54:24 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Government]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Press Release]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Artera]]></category>
		<category><![CDATA[ArteraAI]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[New York State License]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[prostate cancer]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=23717</guid>

					<description><![CDATA[<p>Artera: Clinicians and patients throughout New York State can now access personalized, actionable insights to inform prostate cancer treatment decisions SAN FRANCISCO&#8211;(BUSINESS WIRE)&#8211;Artera, the developer of multimodal artificial intelligence (MMAI)-based prognostic and predictive cancer tests, announced today it has received its New York laboratory permit from its Department of Health. This licensure allows Artera to [&#8230;]</p>
The post <a href="https://tissuepathology.com/2025/06/13/artera-achieves-nationwide-access-for-its-arteraai-prostate-test-with-new-york-state-license/">Artera Achieves Nationwide Access for its ArteraAI Prostate Test with New York State License</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>Navigating the IVDR: How Aiosyn prioritized compliance from day one</title>
		<link>https://tissuepathology.com/2025/05/28/navigating-the-ivdr-how-aiosyn-prioritized-compliance-from-day-one/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Wed, 28 May 2025 11:22:02 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Blogs]]></category>
		<category><![CDATA[Clinical Pathology]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Government]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Standards and Guidelines]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Aiosyn]]></category>
		<category><![CDATA[Blog]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[IVDD]]></category>
		<category><![CDATA[IVDR]]></category>
		<category><![CDATA[mitotic figure counting]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[post-market surveillance]]></category>
		<category><![CDATA[regulations]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=23679</guid>

					<description><![CDATA[<p>From the Aiosyn Blog IVDR represents a significant overhaul of regulations requiring more rigorous oversight, clinical validation assessed by a Notified Body, and stricter post-market surveillance (PMS). Aiosyn’s AI-powered solution for mitotic figure counting was built from the ground up to comply with IVDR’s highest regulatory standards rather than transitioning from the superseded IVDD. Aiosyn [&#8230;]</p>
The post <a href="https://tissuepathology.com/2025/05/28/navigating-the-ivdr-how-aiosyn-prioritized-compliance-from-day-one/">Navigating the IVDR: How Aiosyn prioritized compliance from day one</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>CORRECTING and REPLACING: Tribun Health Achieves FDA Clearance for CaloPix Digital Pathology Platform With Dual Scanner Compatibility</title>
		<link>https://tissuepathology.com/2025/05/22/correcting-and-replacing-tribun-health-achieves-fda-clearance-for-calopix-digital-pathology-platform-with-dual-scanner-compatibility/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Thu, 22 May 2025 12:08:42 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[FDA Approval]]></category>
		<category><![CDATA[Government]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[International]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Press Release]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Correction]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[FDA]]></category>
		<category><![CDATA[FDA 510(k) Clearance]]></category>
		<category><![CDATA[hamamatsu]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Leica]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[Tribune Health]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=23665</guid>

					<description><![CDATA[<p>[CORRECTED RELEASE] Updated to clarify reference to dual-scanner FDA clearance. PARIS, FRANCE / ACCESS Newswire / May 21, 2025 / Tribun Health, a leader in digital pathology, proudly announces that its flagship web-based image management system, CaloPix®, has received FDA 510(k) clearance for use with two leading whole slide imaging scanners: the Hamamatsu NanoZoomer S360MD and the Leica [&#8230;]</p>
The post <a href="https://tissuepathology.com/2025/05/22/correcting-and-replacing-tribun-health-achieves-fda-clearance-for-calopix-digital-pathology-platform-with-dual-scanner-compatibility/">CORRECTING and REPLACING: Tribun Health Achieves FDA Clearance for CaloPix Digital Pathology Platform With Dual Scanner Compatibility</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>U.S. FDA Grants Paige Breakthrough Device Designation for AI Application that Detects Cancer Across Different Anatomic Sites</title>
		<link>https://tissuepathology.com/2025/04/07/u-s-fda-grants-paige-breakthrough-device-designation-for-ai-application-that-detects-cancer-across-different-anatomic-sites/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Mon, 07 Apr 2025 13:06:58 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Clinical Pathology]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Government]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Press Release]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Breakthrough Device]]></category>
		<category><![CDATA[cancer]]></category>
		<category><![CDATA[Cancer Detection]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[FDA]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Paige]]></category>
		<category><![CDATA[PanCancer Detect]]></category>
		<category><![CDATA[Pathology]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=23555</guid>

					<description><![CDATA[<p>Paige PanCancer Detect recognized by FDA as a Breakthrough Device intended to assist pathologists in the detection of cancer across multiple tissue and organ types NEW YORK&#8211;(BUSINESS WIRE)&#8211;Paige, a leader in next-generation AI technology, today announced that the U.S. Food and Drug Administration (FDA) has granted Breakthrough Device designation to Paige PanCancer Detect*, an AI-assisted diagnostic [&#8230;]</p>
The post <a href="https://tissuepathology.com/2025/04/07/u-s-fda-grants-paige-breakthrough-device-designation-for-ai-application-that-detects-cancer-across-different-anatomic-sites/">U.S. FDA Grants Paige Breakthrough Device Designation for AI Application that Detects Cancer Across Different Anatomic Sites</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
	</channel>
</rss>
