We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
Abbott Diagnostics

Download Mobile App




Events

01 Mar 2020 - 05 Mar 2020
05 Mar 2020 - 07 Mar 2020
11 Mar 2020 - 13 Mar 2020

Image: Proteogenomic Characterization of Endometrial Carcinoma (Photo courtesy of the Clinical Proteomic Tumor Analysis Consortium).

Proteogenomic Characterization of Endometrial Carcinoma Analyzed

 Endometrial cancer is a cancer that arises from the endometrium which is the lining of the uterus or womb. It is the result of the abnormal growth of cells that have the ability to invade or spread to other parts of the body. More...
24 Feb 2020
Image: Proteogenomic Characterization of Endometrial Carcinoma (Photo courtesy of the Clinical Proteomic Tumor Analysis Consortium).

Proteogenomic Characterization of Endometrial Carcinoma Analyzed

 Endometrial cancer is a cancer that arises from the endometrium which is the lining of the uterus or womb. It is the result of the abnormal growth of cells that have the ability to invade or spread to other parts of the body. More...
24 Feb 2020
Image: This side-by-side comparison of a breast tissue biopsy demonstrates some of the infrared-optical hybrid microscope’s capabilities. On the left, a tissue sample dyed by traditional methods. Center, a computed stain created from infrared-optical hybrid imaging. Right, tissue types identified with infrared data. The pink in this image signifies malignant cancer (Photo courtesy of Rohit Bhargava, PhD).

All-Digital Histopathology Attained by Infrared-Optical Hybrid Microscopy

 The gold standard of tissue pathology is to add dyes or stains so that pathologists can see the shapes and patterns of the cells under a microscope. However, it can be difficult to distinguish cancer from healthy tissue or to pinpoint the boundaries of a tumor, and in many cases diagnosis is subjective. More...
24 Feb 2020
Image: This side-by-side comparison of a breast tissue biopsy demonstrates some of the infrared-optical hybrid microscope’s capabilities. On the left, a tissue sample dyed by traditional methods. Center, a computed stain created from infrared-optical hybrid imaging. Right, tissue types identified with infrared data. The pink in this image signifies malignant cancer (Photo courtesy of Rohit Bhargava, PhD).

All-Digital Histopathology Attained by Infrared-Optical Hybrid Microscopy

 The gold standard of tissue pathology is to add dyes or stains so that pathologists can see the shapes and patterns of the cells under a microscope. However, it can be difficult to distinguish cancer from healthy tissue or to pinpoint the boundaries of a tumor, and in many cases diagnosis is subjective. More...
24 Feb 2020
Image: The level of uric acid in saliva is a good indicator of body fat percentage in a study designed to identify reliable biomarkers that can be used to develop quick non-invasive tests for early detection of chronic diseases ((Photo courtesy of Dr. Paula Midori Castelo, Federal University of São Paulo)

Uric Acid in Saliva Is a Biomarker for Body Fat Accumulation in Adolescents

 The noninvasive measurement of uric acid in saliva has been shown to be an important marker of body fat accumulation in adolescents, which demonstrates the clinical relevance of saliva for detection of early metabolic changes and monitoring of nutritional status. More...
24 Feb 2020
Image: Ceramide structure: R represents the alkyl portion of a fatty acid (Photo courtesy of Wikimedia Commons)

Ratio of Serum Very-long-chain to Long-chain Ceramides Is Predictive of Dementia Risk

 Results obtained by a large community-based study showed that the ratio of very long‐chain to long‐chain ceramides in the blood was associated with risk of developing various types of dementia including Alzheimer's disease (AD). More...
24 Feb 2020
Illustration

New AI System Performs as Well as Expert Pathologists in Identifying Prostate Cancer

 Researchers at the Karolinska Institutet (Stockholm, Sweden) and Tampere University (Tampere, Finland) have developed a method based on artificial intelligence (AI) for histopathological diagnosis and grading of prostate cancer. The AI-system has the potential to solve one of the bottlenecks in today's prostate cancer histopathology by providing more accurate diagnosis and better treatment decisions. A study conducted by the researchers showed that the AI-system was as good at identifying and grading prostate cancer as world-leading uro-pathologists. More...
24 Feb 2020
Copyright © 2000-2020 Globetech Media. All rights reserved.