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	<title>Anatomic Pathology | Tissuepathology.com</title>
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		<title>Leica Biosystems Launches a 4-Plex Fluorescent Detection Kit to Advance Cancer Research</title>
		<link>https://tissuepathology.com/2026/03/05/leica-biosystems-launches-a-4-plex-fluorescent-detection-kit-to-advance-cancer-research/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Thu, 05 Mar 2026 14:31:07 +0000</pubDate>
				<category><![CDATA[Anatomic Pathology]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Digital Pathology News]]></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[anatomic pathology]]></category>
		<category><![CDATA[Danaher]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[leica biosystems]]></category>
		<category><![CDATA[multiplex immunofluorescence (IF)]]></category>
		<category><![CDATA[oncology]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[translational research]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24268</guid>

					<description><![CDATA[<p>NEWCASTLE, United Kingdom (March 4, 2026) – Leica Biosystems, a Danaher company and a global leader in anatomic pathology solutions, streamlines multiplex immunofluorescence (IF) for oncology and translational research with the launch of its BOND 4-Plex Fluorescent Detection Kit for research use only (RUO). The new pre-assembled kit empowers researchers to achieve consistent, high-quality results while preserving [&#8230;]</p>
The post <a href="https://tissuepathology.com/2026/03/05/leica-biosystems-launches-a-4-plex-fluorescent-detection-kit-to-advance-cancer-research/">Leica Biosystems Launches a 4-Plex Fluorescent Detection Kit to Advance Cancer Research</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
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		<item>
		<title>FDA Approves First-of-Its-Kind Device to Treat Pancreatic Cancer</title>
		<link>https://tissuepathology.com/2026/02/18/fda-approves-first-of-its-kind-device-to-treat-pancreatic-cancer/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Wed, 18 Feb 2026 12:46:24 +0000</pubDate>
				<category><![CDATA[Anatomic Pathology]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[FDA Approval]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Press Release]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Approval]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[FDA]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Novocure]]></category>
		<category><![CDATA[Pancreatic Cancer]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[U.S. Food and Drug Administration]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24238</guid>

					<description><![CDATA[<p>FDA: Device Delivers Non-invasive Therapy and Supports Care at Home White Oak, Md., Feb. 12, 2026 (GLOBE NEWSWIRE) &#8212; The U.S. Food and Drug Administration has approved a first-of-its-kind device for the treatment of adult patients with locally advanced pancreatic cancer. Optune Pax, developed by Novocure, is a portable, non-invasive device that delivers alternating electrical [&#8230;]</p>
The post <a href="https://tissuepathology.com/2026/02/18/fda-approves-first-of-its-kind-device-to-treat-pancreatic-cancer/">FDA Approves First-of-Its-Kind Device to Treat Pancreatic Cancer</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
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		<title>RevealDx Receives FDA Clearance for AI Powered Lung Nodule Risk Assessment</title>
		<link>https://tissuepathology.com/2026/02/09/revealdx-receives-fda-clearance-for-ai-powered-lung-nodule-risk-assessment/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Mon, 09 Feb 2026 13:33:03 +0000</pubDate>
				<category><![CDATA[Anatomic Pathology]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Press Release]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[FDA clearance]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Lung Nodule]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[RevealDx]]></category>
		<category><![CDATA[Risk Assessment]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24219</guid>

					<description><![CDATA[<p>Seattle, WA – February 3, 2026 – RevealDx, a leader in AI tools for the characterization of lung nodules, announced FDA clearance of RevealAI-Lung. The company had previously announced MDR Certification in November of 2025. The RevealDx technology characterizes incidental lung nodules by producing a Malignancy Similarity Index (mSI™), a score that is intended to [&#8230;]</p>
The post <a href="https://tissuepathology.com/2026/02/09/revealdx-receives-fda-clearance-for-ai-powered-lung-nodule-risk-assessment/">RevealDx Receives FDA Clearance for AI Powered Lung Nodule Risk Assessment</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
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		<item>
		<title>Aiforia releases a new CE-IVD marked AI solution for gastric cancer diagnostics</title>
		<link>https://tissuepathology.com/2026/02/04/aiforia-releases-a-new-ce-ivd-marked-ai-solution-for-gastric-cancer-diagnostics/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Wed, 04 Feb 2026 13:09:39 +0000</pubDate>
				<category><![CDATA[Anatomic Pathology]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Press Release]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Aiforia]]></category>
		<category><![CDATA[CE-IVD]]></category>
		<category><![CDATA[Diagnostics]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[Gastric Cancer]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Pathology]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24211</guid>

					<description><![CDATA[<p>February 2, 2026 at 10:00 a.m. EET. Aiforia Technologies Plc today announced the launch of a new clinical AI solution for gastric cancer diagnostics. This solution is CE-IVD marked under the IVDR. Aiforia® Gastric Cancer AI application is designed to support pathologists in the detection and reporting of gastric cancer in digitized gastric tissue samples. [&#8230;]</p>
The post <a href="https://tissuepathology.com/2026/02/04/aiforia-releases-a-new-ce-ivd-marked-ai-solution-for-gastric-cancer-diagnostics/">Aiforia releases a new CE-IVD marked AI solution for gastric cancer diagnostics</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
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		<title>Cancer Survival Rises</title>
		<link>https://tissuepathology.com/2026/01/14/cancer-survival-rises/</link>
		
		<dc:creator><![CDATA[Dr. Keith J. Kaplan]]></dc:creator>
		<pubDate>Wed, 14 Jan 2026 15:51:58 +0000</pubDate>
				<category><![CDATA[Anatomic Pathology]]></category>
		<category><![CDATA[Current Affairs]]></category>
		<category><![CDATA[Education]]></category>
		<category><![CDATA[Medical Research]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Patient Advocacy]]></category>
		<category><![CDATA[Science]]></category>
		<category><![CDATA[cancer]]></category>
		<category><![CDATA[Immunotherapy]]></category>
		<category><![CDATA[Survival Rates]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24173</guid>

					<description><![CDATA[<p>From CNN: The five-year cancer survival rate in the US has reached 70% for the first time, according to an American Cancer Society report released yesterday. The figure, based on diagnoses from 2015 to 2021, is up from 49% in the mid-1970s and 63% in the mid-1990s. The ACS attributes the rise to wider and earlier screening, lower smoking [&#8230;]</p>
The post <a href="https://tissuepathology.com/2026/01/14/cancer-survival-rises/">Cancer Survival Rises</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>Techcyte: Peer-Reviewed Study Demonstrates Agreement Between Techcyte’s AI-Assisted Digital Parasitology Workflow and Microscopy</title>
		<link>https://tissuepathology.com/2026/01/01/techcyte-peer-reviewed-study-demonstrates-agreement-between-techcytes-ai-assisted-digital-parasitology-workflow-and-microscopy/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Thu, 01 Jan 2026 15:25:48 +0000</pubDate>
				<category><![CDATA[Anatomic Pathology]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Clinical Pathology]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Press Release]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[anatomic pathology]]></category>
		<category><![CDATA[Diagnostics (MDPI)]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[parasitology]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[Peer review]]></category>
		<category><![CDATA[study]]></category>
		<category><![CDATA[Techcyte]]></category>
		<category><![CDATA[workflow]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24148</guid>

					<description><![CDATA[<p>OREM, UT, UNITED STATES, December 30, 2025 /EINPresswire.com/ &#8212; Techcyte, a leading provider of AI-powered digital diagnostics for anatomic and clinical pathology, today announced the publication of a peer-reviewed study in Diagnostics (MDPI) evaluating an AI-assisted digital parasitology workflow using Techcyte’s Human Fecal Wet Mount (HFW) algorithm in a routine clinical laboratory setting. The prospective study, conducted by the [&#8230;]</p>
The post <a href="https://tissuepathology.com/2026/01/01/techcyte-peer-reviewed-study-demonstrates-agreement-between-techcytes-ai-assisted-digital-parasitology-workflow-and-microscopy/">Techcyte: Peer-Reviewed Study Demonstrates Agreement Between Techcyte’s AI-Assisted Digital Parasitology Workflow and Microscopy</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
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