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	<title>Reports | Tissuepathology.com</title>
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		<title>ASCO: Now and Then</title>
		<link>https://tissuepathology.com/2026/06/11/asco-now-and-then/</link>
		
		<dc:creator><![CDATA[Dr. Keith J. Kaplan]]></dc:creator>
		<pubDate>Thu, 11 Jun 2026 18:00:28 +0000</pubDate>
				<category><![CDATA[Advocacy]]></category>
		<category><![CDATA[Anatomic Pathology]]></category>
		<category><![CDATA[Business]]></category>
		<category><![CDATA[Clinical Laboratories]]></category>
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		<category><![CDATA[Whole slide]]></category>
		<category><![CDATA[ASCO]]></category>
		<category><![CDATA[conferences]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24484</guid>

					<description><![CDATA[<p>In medical school I drove a cab at night to make ends meet. I rented the medallion from a guy for $50 and kept the difference I made. The Army paid me $692 a month stipend on the Health Professions Scholarship and the studio apartment in downtown Chicago was $1000/month. I wasshort over $300 a [&#8230;]</p>
The post <a href="https://tissuepathology.com/2026/06/11/asco-now-and-then/">ASCO: Now and Then</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
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		<title>American Center for Cancer Research: DNA methylation &#8220;fingerprints&#8221; identify primary sites in metastatic cancers</title>
		<link>https://tissuepathology.com/2026/04/21/american-center-for-cancer-research-dna-methylation-fingerprints-identify-primary-sites-in-metastatic-cancers/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Tue, 21 Apr 2026 13:47:18 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Medical Research]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Reports]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[American Center for Cancer Research]]></category>
		<category><![CDATA[cancer]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[DNA]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[metastatic cancers]]></category>
		<category><![CDATA[methylation]]></category>
		<category><![CDATA[Pathology]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24363</guid>

					<description><![CDATA[<p>A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types in patients with cancers of unknown primary (CUP), according to research presented at the American Association for Cancer Research (AACR) Annual Meeting 2026, held April 17-22. CUP are metastatic malignancies in which the primary cancer site could not [&#8230;]</p>
The post <a href="https://tissuepathology.com/2026/04/21/american-center-for-cancer-research-dna-methylation-fingerprints-identify-primary-sites-in-metastatic-cancers/">American Center for Cancer Research: DNA methylation “fingerprints” identify primary sites in metastatic cancers</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
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		<item>
		<title>PathAI Announces Research Presentations at the American Association for the Study of Liver Diseases (AASLD) The Liver Meeting</title>
		<link>https://tissuepathology.com/2023/11/13/pathai-announces-research-presentations-at-the-american-association-for-the-study-of-liver-diseases-aasld-the-liver-meeting/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Mon, 13 Nov 2023 13:19:22 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Conferences]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Education]]></category>
		<category><![CDATA[Medical Research]]></category>
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		<category><![CDATA[AASLD]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[American Association for the Study of Liver Diseases]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[PathAI]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[The Liver Meeting]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=22392</guid>

					<description><![CDATA[<p>PathAI: The four research posters demonstrate the efficacy and utility of AI-powered digital pathology in tissue samples from individuals with metabolic dysfunction-associated steatohepatitis Boston, MA &#124; November 10, 2023, 10:00 AM Eastern Standard Time &#8211; PathAI, a leading technology company which combines AI-powered pathology solutions and algorithm deployment expertise with end-to-end central pathology and histology [&#8230;]</p>
The post <a href="https://tissuepathology.com/2023/11/13/pathai-announces-research-presentations-at-the-american-association-for-the-study-of-liver-diseases-aasld-the-liver-meeting/">PathAI Announces Research Presentations at the American Association for the Study of Liver Diseases (AASLD) The Liver Meeting</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>Researchers Find AI Improves Breast Cancer Detection by 20%</title>
		<link>https://tissuepathology.com/2023/08/28/researchers-find-ai-improves-breast-cancer-detection-by-20/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Mon, 28 Aug 2023 11:23:17 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Clinical Pathology]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Image Analysis]]></category>
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		<category><![CDATA[Radiology]]></category>
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		<category><![CDATA[breast cancer]]></category>
		<category><![CDATA[cancer]]></category>
		<category><![CDATA[Dark Daily]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Lund University]]></category>
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		<category><![CDATA[Research]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=22208</guid>

					<description><![CDATA[<p>Initial analyses also show AI screening lowers associated radiologist image reading workload by half Both radiologists and pathologists analyze images to make cancer diagnoses, although one works with radiological images and the other works with tissue biopsies as the source of information. Now, advances in artificial intelligence (AI) for cancer screenings means both radiologists and pathologists may soon be able to detect cancer [&#8230;]</p>
The post <a href="https://tissuepathology.com/2023/08/28/researchers-find-ai-improves-breast-cancer-detection-by-20/">Researchers Find AI Improves Breast Cancer Detection by 20%</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>Lunit: AI-Powered Lung Cancer Screening Solution Significantly Affects Radiologists&#8217; Diagnostic Determination &#8211; Published in Radiology</title>
		<link>https://tissuepathology.com/2023/07/04/lunit-ai-powered-lung-cancer-screening-solution-significantly-affects-radiologists-diagnostic-determination-published-in-radiology/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Tue, 04 Jul 2023 14:41:40 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[International]]></category>
		<category><![CDATA[Medical Research]]></category>
		<category><![CDATA[Press Release]]></category>
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		<category><![CDATA[AI]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Lung Cancer]]></category>
		<category><![CDATA[Lunit]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[Radiology]]></category>
		<category><![CDATA[Report]]></category>
		<category><![CDATA[Seoul National University Hospital]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=22097</guid>

					<description><![CDATA[<p>Lunit: Recent study conducted by Seoul National University Hospital provides strong evidence that high-accuracy AI model improves radiologists&#8217; chest X-ray analysis performance SEOUL, South Korea, July 3, 2023 /PRNewswire/ &#8212; Findings from a recent study demonstrate that medical AI solutions with only high diagnostic accuracy can significantly improve the reading performance of radiologists. Lunit (KRX:328130.KQ), a global provider [&#8230;]</p>
The post <a href="https://tissuepathology.com/2023/07/04/lunit-ai-powered-lung-cancer-screening-solution-significantly-affects-radiologists-diagnostic-determination-published-in-radiology/">Lunit: AI-Powered Lung Cancer Screening Solution Significantly Affects Radiologists’ Diagnostic Determination – Published in Radiology</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
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		<item>
		<title>Proscia: 70% Of Major Pharmaceutical Companies And CROs Surveyed Have Adopted Digital Pathology</title>
		<link>https://tissuepathology.com/2023/06/13/proscia-70-of-major-pharmaceutical-companies-and-cros-surveyed-have-adopted-digital-pathology/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Tue, 13 Jun 2023 12:28:23 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Business]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Medical Research]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Press Release]]></category>
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		<category><![CDATA[AI]]></category>
		<category><![CDATA[Computational Pathology]]></category>
		<category><![CDATA[Concentriq]]></category>
		<category><![CDATA[Concentriq® for Research]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Life Science]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[Proscia]]></category>
		<category><![CDATA[R&D]]></category>
		<category><![CDATA[Survey]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=22044</guid>

					<description><![CDATA[<p>Proscia report reveals initial deployment of legacy systems has paved the way for imminent shift to modern software needed to accelerate AI-powered drug R&#38;D PHILADELPHIA – June 13, 2023 –  Nearly three-fourths of life sciences organizations surveyed have invested in digital pathology to advance drug research and development (R&#38;D), according to new research commissioned by [&#8230;]</p>
The post <a href="https://tissuepathology.com/2023/06/13/proscia-70-of-major-pharmaceutical-companies-and-cros-surveyed-have-adopted-digital-pathology/">Proscia: 70% Of Major Pharmaceutical Companies And CROs Surveyed Have Adopted Digital Pathology</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
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