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	<title>Science | Tissuepathology.com</title>
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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>Ohio State researchers developing AI model to detect cancer early</title>
		<link>https://tissuepathology.com/2025/10/20/ohio-state-researchers-developing-ai-model-to-detect-cancer-early/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Mon, 20 Oct 2025 11:35:10 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Clinical Pathology]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[Medical Research]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Science]]></category>
		<category><![CDATA[Whole slide]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[breast cancer]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[invasive lobular carcinoma]]></category>
		<category><![CDATA[James Cancer Hospital]]></category>
		<category><![CDATA[lobular breast cancer]]></category>
		<category><![CDATA[OSUCCC-James]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[The James]]></category>
		<category><![CDATA[The Ohio State University]]></category>
		<category><![CDATA[The Ohio State University Comprehensive Cancer Center – James Cancer Hospital and Solove Research Institute]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=23991</guid>

					<description><![CDATA[<p>The Ohio State University&#8217;s James Cancer Hospital makes advancements on lobular breast cancer screening While researchers work to improve lobular breast cancer screening, innovative treatments are improving outcomes for patients with the condition, which is diagnosed in more than 40,000 Americans each year. Lobular breast cancer — or invasive lobular carcinoma (ILC) — is a form [&#8230;]</p>
The post <a href="https://tissuepathology.com/2025/10/20/ohio-state-researchers-developing-ai-model-to-detect-cancer-early/">Ohio State researchers developing AI model to detect cancer early</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>ORNL: AI-driven attention mechanisms aid in streamlining cancer pathology reporting</title>
		<link>https://tissuepathology.com/2024/03/11/ornl-ai-driven-attention-mechanisms-aid-in-streamlining-cancer-pathology-reporting/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Mon, 11 Mar 2024 11:29:15 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Government]]></category>
		<category><![CDATA[Medical Research]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Science]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=22694</guid>

					<description><![CDATA[<p>ORNL: Artificial Intelligence researchers have taken a major step forward in using AI in the fight against cancer. In partnership with the National Cancer Institute, or NCI, researchers from the Department of Energy’s Oak Ridge National Laboratory’s Modeling Outcomes for Surveillance using Scalable Artificial Intelligence, or MOSSAIC, are building on their groundbreaking work to circumvent [&#8230;]</p>
The post <a href="https://tissuepathology.com/2024/03/11/ornl-ai-driven-attention-mechanisms-aid-in-streamlining-cancer-pathology-reporting/">ORNL: AI-driven attention mechanisms aid in streamlining cancer pathology reporting</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>Digital pathology is just pathology, but does it matter anymore?</title>
		<link>https://tissuepathology.com/2024/01/16/digital-pathology-is-just-pathology-but-does-it-matter-anymore/</link>
		
		<dc:creator><![CDATA[Dr. Keith J. Kaplan]]></dc:creator>
		<pubDate>Tue, 16 Jan 2024 21:24:13 +0000</pubDate>
				<category><![CDATA[Advocacy]]></category>
		<category><![CDATA[Anatomic Pathology]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Clinical Laboratories]]></category>
		<category><![CDATA[Current Affairs]]></category>
		<category><![CDATA[Data Management]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Education]]></category>
		<category><![CDATA[FDA Approval]]></category>
		<category><![CDATA[General Healthcare News]]></category>
		<category><![CDATA[Health Technology Collaboration]]></category>
		<category><![CDATA[Laboratory Management & Operations]]></category>
		<category><![CDATA[Microscopy]]></category>
		<category><![CDATA[Molecular Pathology]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Personal]]></category>
		<category><![CDATA[Science]]></category>
		<category><![CDATA[TeleHealth]]></category>
		<category><![CDATA[Web/Tech]]></category>
		<category><![CDATA[Whole slide]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Healthcare Team]]></category>
		<category><![CDATA[Morphology]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[Slide Scanning]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=22567</guid>

					<description><![CDATA[<p>Since the 1990s, many innovators to Fortune 500 and Fortune 50 companies have worked to make digital pathology a reality. While not mainstream and perhaps less than 10% of US based pathology groups have any serious implementations of digital pathology, the technology has caught up to our retinas and the legal, regulatory, and business practices [&#8230;]</p>
The post <a href="https://tissuepathology.com/2024/01/16/digital-pathology-is-just-pathology-but-does-it-matter-anymore/">Digital pathology is just pathology, but does it matter anymore?</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>BioNTech, Roche&#8217;s experimental pancreatic cancer treatment wins Nature plaudit</title>
		<link>https://tissuepathology.com/2023/05/15/biontech-roches-experimental-pancreatic-cancer-treatment-wins-nature-plaudit/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Mon, 15 May 2023 11:18:10 +0000</pubDate>
				<category><![CDATA[Blogs]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[International]]></category>
		<category><![CDATA[Medical Research]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Science]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[BioNTech]]></category>
		<category><![CDATA[cancer]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[Gentech]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[messenger RNA]]></category>
		<category><![CDATA[Nature]]></category>
		<category><![CDATA[Pancreatic Cancer]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[Roche]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=21955</guid>

					<description><![CDATA[<p>FRANKFURT, May 10 (Reuters) &#8211; Scientific journal Nature on Wednesday said a personalised treatment based on messenger RNA by BioNTech (22UAy.DE) potentially bodes well for the future of fighting an extremely aggressive form of cancer after the regimen was shown to trigger a promising immune reaction in some pancreatic cancer patients. Results of a trial [&#8230;]</p>
The post <a href="https://tissuepathology.com/2023/05/15/biontech-roches-experimental-pancreatic-cancer-treatment-wins-nature-plaudit/">BioNTech, Roche’s experimental pancreatic cancer treatment wins Nature plaudit</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>Lunit to Present 16 Abstracts at the 2023 ASCO Annual Meeting</title>
		<link>https://tissuepathology.com/2023/05/10/lunit-to-present-16-abstracts-at-the-2023-asco-annual-meeting/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Wed, 10 May 2023 13:07:55 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Conferences]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Education]]></category>
		<category><![CDATA[International]]></category>
		<category><![CDATA[Medical Research]]></category>
		<category><![CDATA[Press Release]]></category>
		<category><![CDATA[Publications]]></category>
		<category><![CDATA[Science]]></category>
		<category><![CDATA[2023 ASCO Annual Meeting]]></category>
		<category><![CDATA[Abstracts]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Cancer Diagnostics]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Lunit]]></category>
		<category><![CDATA[Lunit SCOPE]]></category>
		<category><![CDATA[Pathology]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=21948</guid>

					<description><![CDATA[<p>Lunit and collaborators demonstrate the predictive value and analytical prowess of Lunit&#8217;s AI-biomarker platform in a wide range of cancer types and clinical practices SEOUL, South Korea, May 10, 2023 /PRNewswire/ &#8212; Lunit (KRX:328130.KQ), a leading global provider of AI-powered cancer diagnostic solutions, today announced the presentation of 16 abstracts featuring its AI-biomarker platform at the American [&#8230;]</p>
The post <a href="https://tissuepathology.com/2023/05/10/lunit-to-present-16-abstracts-at-the-2023-asco-annual-meeting/">Lunit to Present 16 Abstracts at the 2023 ASCO Annual Meeting</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
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