Researchers are working on an injectable that could get dormant follicles growing again. Trials on mice show promise.
Scientists at McMaster University have identified a toxin used by bacteria to kill other bacteria through a never-before-seen mechanism. The toxin is the first found to directly target RNA molecules in what the team describes as “a total assault on the cell,” which could lead to a new class of antibiotics.
There’s a huge war raging on the microscopic scale as microbes battle each other for resources, and sometimes the weapons they use against each other can prove useful for antibiotics. Most of these toxins target proteins or DNA molecules, killing bacteria by interrupting vital functions.
So that’s the checklist that the team ran through while studying a toxin called RhsP2 that’s produced by Pseudomonas aeruginosa, a common bug behind hospital-acquired infections like pneumonia. Over three years, the researchers investigated the effects of the toxin on these common targets, to no avail.
2077 — 10 Seconds to the Future — Mutation | Science Documentary.
2077 — 10 Seconds to the Future | Global Estrangement: https://youtu.be/CTOduDIkcdM
Continue reading “10 Seconds to the Future | Mutation | Free Documentary” »
Based on the live fire Map from nasa south America has too many fires to count probably estimating in the millions of acres burned circa 2022.
The Amazon rainforest is shrinking. The fires in the Amazon are growing.
Continue reading “Amazon rainforest fires 2022: Facts, causes, and climate impacts” »
Background: Breast cancer is one of the most common cancers and the leading cause of death from cancer among women worldwide. The genetic predisposition to breast cancer may be associated with a mutation in particular genes such as gene BRCA1/2. Patients who carry a germline pathogenic mutation in BRCA1/2 genes have a significantly increased risk of developing breast cancer and might benefit from targeted therapy. However, genetic testing is time consuming and costly. This study aims to predict the risk of gBRCA mutation by using the whole-slide pathology features of breast cancer H&E stains and the patients’ gBRCA mutation status.
Methods: In this study, we trained a deep convolutional neural network (CNN) of ResNet on whole-slide images (WSIs) to predict the gBRCA mutation in breast cancer. Since the dimensions are too large for slide-based training, we divided WSI into smaller tiles with the original resolution. The tile-based classification was then combined by adding the positive classification result to generate the combined slide-based accuracy. Models were trained based on the annotated tumor location and gBRCA mutation status labeled by a designated breast cancer pathologist. Four models were trained on tiles cropped at 5×, 10×, 20×, and 40× magnification, assuming that low magnification and high magnification may provide different levels of information for classification.
Results: A trained model was validated through an external dataset that contains 17 mutants and 47 wilds. In the external validation dataset, AUCs (95% CI) of DL models that used 40×, 20×, 10×, and 5× magnification tiles among all cases were 0.766 (0.763–0.769), 0.763 (0.758–0.769), 0.750 (0.738–0.761), and 0.551 (0.526–0.575), respectively, while the corresponding magnification slides among all cases were 0.774 (0.642–0.905), 0.804 (0.676–0.931), 0.828 (0.691–0.966), and 0.635 (0.471–0.798), respectively. The study also identified the influence of histological grade to the accuracy of the prediction.
Space is no longer a remote and special place – it is becoming a part of our life and economy.
In parallel with technological advances such as space travel, lunar exploration and next-generation spacecraft, the number of businesses that utilize space has grown. Space has become an indispensable part of our lives.
The Nikkei Virtual Global Forum “The Future of Space 2022” will explore the possibilities of space, from Earth’s orbit to the Moon, Mars and beyond, and the global benefits and impacts on the economy, business and society. We will also discuss such issues as international collaboration, sustainable space utilization and policy responses.
Strange planets nicknamed BEASTies are unlikely to have formed around their current stars. They may have been stolen from other stars or captured from deep space.
Tiny machines that deliver therapeutic payloads to precise locations in the body are the stuff of science fiction. But some researchers are trying to turn them into a clinical reality.
