Publications | Tissuepathology.com

Lunit study shows higher HER2 diagnostic agreement between AI and pathologists

Erica Goodpaster — Tue, 23 Dec 2025 13:28:43 +0000

Lunit said Tuesday that it has published research showing that its AI biomarker platform, Lunit SCOPE, can improve HER2 (human epidermal growth factor receptor 2) diagnosis in advanced bile duct cancer. The study was published in Laboratory Investigation, the official journal of the United States and Canadian Academy of Pathology (USCAP) (Impact Factor 4.2). Biliary tract […]

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Journal of Clinical Microbiology Publishes Article on ARUP Validation of AI for Parasite Detection

Erica Goodpaster — Mon, 03 Nov 2025 16:10:34 +0000

October 21, 2025 Salt Lake City—ARUP Laboratories today announced the publication of an article in the Journal of Clinical Microbiology describing the company’s validation of a deep convolutional neural network (CNN) to detect parasites in concentrated wet mounts of stool. For decades, detection of gastrointestinal parasites has relied on traditional microscopy, which is a labor-intensive process […]

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Could Lithium Explain — and Treat — Alzheimer’s Disease?

Erica Goodpaster — Fri, 08 Aug 2025 12:07:23 +0000

Study: Lithium loss ignites Alzheimer’s, but lithium compound can reverse disease in mice What is the earliest spark that ignites the memory-robbing march of Alzheimer’s disease? Why do some people with Alzheimer’s-like changes in the brain never go on to develop dementia? These questions have bedeviled neuroscientists for decades. Now, a team of researchers at Harvard […]

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Mount Sinai: Study Shows How AI Could Help Pathologists Match Cancer Patients to the Right Treatments—Faster and More Efficiently

Erica Goodpaster — Mon, 14 Jul 2025 10:53:42 +0000

Mount Sinai: Real-time trial shows AI could speed cancer care New York, NY (July 09, 2025) A new study by researchers at the Icahn School of Medicine at Mount Sinai, Memorial Sloan Kettering Cancer Center, and collaborators, suggests that artificial intelligence (AI) could significantly improve how doctors determine the best treatment for cancer patients—by enhancing how […]

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From Cureus Journal of Medicine: A Pilot Study of Breast Cancer Histopathological Image Classification Using Google Teachable Machine: A No-Code Artificial Intelligence Approach

Erica Goodpaster — Mon, 07 Jul 2025 12:14:17 +0000

From the Cureus Journal of Medicine, researchers publish a pilot study of breast cancer Histopathological Image Classification Using Google Teachable Machine. Read the Abstract below. Abstract Introduction Breast cancer remains a major global cause of cancer-related mortality, where histopathology serves as the diagnostic cornerstone. However, inter-observer variability and increasing diagnostic workload necessitate innovative solutions. This […]

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Deep Bio Unveils Research Findings on Performance Evaluation of AI Algorithm for Breast Cancer Analysis

Erica Goodpaster — Fri, 24 May 2024 11:30:26 +0000

Deep Bio utilizes deep learning-based algorithms to differentiate breast cancer lesions accurately, optimizing diagnostic accuracy SEOUL, SOUTH KOREA, May 21, 2024 /EINPresswire.com/ — Deep Bio today announced the publication of a study evaluating the performance of its AI algorithm for breast cancer analysis to accurately differentiate between invasive ductal carcinoma (IDC) lesions from non-invasive ductal carcinoma in […]

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