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24 Feb 2024 - 28 Feb 2024
05 Mar 2024 - 07 Mar 2024


Image: Researchers used this chip to analyze the microbes present in whole blood samples (Photo courtesy of UC San Diego)

New Analysis Method Detects Pathogens in Blood Faster and More Accurately by Melting DNA

A new analysis technique offers quicker and more precise pathogen detection in blood samples compared to traditional blood cultures, which are the standard in infection diagnosis. More...
22 Feb 2024
Image: The photoacoustic spectral response sensing instrument is based on low-cost laser diodes (Photo courtesy of Khan et al., doi 10.1117/1.JBO.29.1.017002)

Compact Photoacoustic Sensing Instrument Enhances Biomedical Tissue Diagnosis

Researchers have introduced a groundbreaking, compact, and affordable photoacoustic sensing instrument for biomedical tissue diagnosis. More...
15 Feb 2024
Image: The EndoSign cell collection device has received 510(k) FDA clearance (Photo courtesy of Cyted)

Non-Endoscopic Capsule Sponge Device Helps Detect Esophageal Cancer

A non-endoscopic capsule sponge device has been designed to collect pan-esophageal samples which are then sent for laboratory testing to detect esophageal pre-cancer and other conditions. More...
07 Feb 2024
Image: The FDA-cleared digital cytology system – Genius Digital Diagnostics System (Photo courtesy of Hologic)

Digital Cytology System Delivers Next-Gen Technology for Pap Testing

A state-of-the-art diagnostic system for cervical cancer screening uses advanced imaging to digitally image the glass slides and applies AI to pinpoint the cells that cytologists and pathologists should review. More...
07 Feb 2024
Image: Scientists have discovered biomarkers for rare breast tumors (Photo courtesy of Garvan Institute)

Sensitive Epigenetic-Based PCR Test Could Detect Difficult-To-Diagnose Breast Tumor

Scientists have found the epigenetic ‘signature’ of phyllodes tumors, paving the way for the development of a sensitive epigenetic-based PCR test to detect this hard-to-diagnose breast tumor that could be routinely used in pathology laboratories. More...
05 Feb 2024
Image: The “attentive” neural network recognizes breast cancer with 99.6% accuracy (Photo courtesy of RUDN University)

Neural Network Recognizes Breast Cancer on Histological Samples With 100% Accuracy

A machine learning model can significantly enhance the accuracy of identifying cancer in histological images with the incorporation of an additional module enabling it to achieve near-perfect accuracy. More...
02 Feb 2024
Image: A microscopic image of intramedullary osteosarcoma (Photo courtesy of Johns Hopkins Medicine)

Machine Learning Model Calculates Chemotherapy Success in Patients with Bone Cancer

A machine learning model designed to calculate the proportion of a tumor considered dead following chemotherapy can help predict survival outcomes in osteosarcoma, a type of bone cancer. More...
04 Jan 2024
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The Pathology channel details advances in the field of Surgical Pathology and all its subspecialties, including Cytopathology and its subspecialties.
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