Researchers have taken a critical step toward developing a non-invasive nuclear medicine technique that can predict the effectiveness of therapy for cancerous tumors, allowing for personalized, precision treatment. The study ...
Dec 13, 2019
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Studies have shown that perinatal exposure of rats and mice to common flame retardants found in household items permanently reprograms liver metabolism, often leading later in life to insulin resistance and non-alcoholic ...
Dec 13, 2019
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Aortic valve calcification is a challenging condition for the health service and for the patients concerned. The only treatment currently available is surgery. Mariia Boganova recently defended her thesis which addresses ...
Dec 13, 2019
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Cancer is one of the leading causes of death worldwide. More than 90 percent of cancer patients die of distal metastases rather than as a direct result of the primary tumor. Cancer metastases usually develop from single disseminated ...
Dec 12, 2019
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Neoadjuvant treatment with the CDK4/6 inhibitor ribociclib (Kisqali) and the aromatase inhibitor letrozole (Femara) produced response rates similar to multi-agent chemotherapy in patients with high-risk luminal B breast cancer, ...
Dec 12, 2019
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As the temperature continues to drop this winter, it is harder to find the motivation to get off the couch and out for a walk. New research from the University of Liverpool, presented at The Physiological Society's early ...
Dec 12, 2019
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High blood pressure in the lungs, known as pulmonary arterial hypertension (PAH), is a potentially fatal disease caused by obstruction of blood flow in the lungs. A new study in The American Journal of Pathology sheds light ...
Dec 12, 2019
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Cigarette smoking changes the types of cells that are present in the respiratory track and some biological processes necessary for detoxification of cigarette smoke are restricted to specific types of cells.
Dec 11, 2019
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Researchers at the University of Illinois at Urbana-Champaign have successfully used stem cells to engineer living biohybrid nerve tissue to develop 3-D models of neural networks with the hopes of gaining a better understanding ...
Dec 11, 2019
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UT Southwestern researchers have developed a software tool that uses artificial intelligence to recognize cancer cells from digital pathology images—giving clinicians a powerful way of predicting patient outcomes.
Dec 09, 2019
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