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Archive for the ‘biotech/medical’ category: Page 2044

Mar 1, 2019

Scientists discover predictors that determine toxic fats in the liver

Posted by in categories: biotech/medical, genetics

Accumulation of fat in the liver, known as fatty liver disease, is experienced by over 5.5 million Australians, including more than 40% of all adults over the age of 50.

Fatty liver develops from a combination of both genetic and environmental causes, which influence the age of onset and severity of the disease. Experts are now describing the condition as a hidden epidemic, which is driving up rates of liver transplant, contributing to a range of illnesses and ultimately death.

Fatty liver disease usually has no early symptoms and diagnoses with current technologies mostly comes when it’s too late to prevent major illness. But now, for the first time in a study published in the prestigious scientific journal, Nature, a team of researchers from the Baker Heart and Diabetes Institute, University of California, and University of Sydney, have discovered biomarkers in the blood that can predict the accumulation of toxic fats in the liver, which are a sign of early fatty liver disease. These predictions can be made based on the lipid (fats) profile in the blood.

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Mar 1, 2019

Study finds that in mice, lycopene in tomatoes reduced fatty liver disease, inflammation and liver cancer

Posted by in categories: biotech/medical, food, life extension

In the fight against cancer, there is a surprising tool in the arsenal: the food we eat. That’s because some nutrients in food have been found to play a role in preventing cancer, and it’s relevant because the World Cancer Research Fund reports that 30 to 50 percent of cancer cases are preventable, putting a focus on stopping cancer from developing in the first place.

Xiang-Dong Wang, a senior scientist and associate director of the Jean Mayer USDA Human Research Center on Aging at Tufts, studies how food can help prevent development, particularly lung, liver, and colon cancer.

Although the rate of most cancers is dropping, there is increasing concern about the rise in both incidence and death rate of liver cancer in the United States, partially due to the parallel rise in nonalcoholic fatty liver disease, obesity, and diabetes.

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Mar 1, 2019

A Simple Blood Test Is as Effective as a Biopsy in Detecting Lung Cancer Mutations

Posted by in category: biotech/medical

It’s less invasive, too.

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Mar 1, 2019

Antarctic blackfin icefish genome reveals adaptations to extreme environments

Posted by in category: biotech/medical

Icefishes (suborder Notothenioidei; family Channichthyidae) are the only vertebrates that lack functional haemoglobin genes and red blood cells. Here, we report a high-quality genome assembly and linkage map for the Antarctic blackfin icefish Chaenocephalus aceratus, highlighting evolved genomic features for its unique physiology. Phylogenomic analysis revealed that Antarctic fish of the teleost suborder Notothenioidei, including icefishes, diverged from the stickleback lineage about 77 million years ago and subsequently evolved cold-adapted phenotypes as the Southern Ocean cooled to sub-zero temperatures. Our results show that genes involved in protection from ice damage, including genes encoding antifreeze glycoprotein and zona pellucida proteins, are highly expanded in the icefish genome. Furthermore, genes that encode enzymes that help to control cellular redox state, including members of the sod3 and nqo1 gene families, are expanded, probably as evolutionary adaptations to the relatively high concentration of oxygen dissolved in cold Antarctic waters. In contrast, some crucial regulators of circadian homeostasis (cry and per genes) are absent from the icefish genome, suggesting compromised control of biological rhythms in the polar light environment. The availability of the icefish genome sequence will accelerate our understanding of adaptation to extreme Antarctic environments.

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Mar 1, 2019

A New Idea about How Cancer Begins

Posted by in category: biotech/medical

It appears to happen more readily than we once believed.

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Mar 1, 2019

The Brain That Remade Itself

Posted by in categories: biotech/medical, neuroscience

Doctors removed one-sixth of this child’s brain — and what was left did something incredible.

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Feb 28, 2019

UCF Researchers Develop First Supersymmetric Laser Array

Posted by in category: biotech/medical

A team of University of Central Florida researchers has overcome a long-standing problem in laser science, and the findings could have applications in surgery, drilling and 3D laser mapping.

Using the principle of supersymmetry, they have developed the first supersymmetric laser array. Their findings were published recently in the journal Science.

Supersymmetry is a conjecture in physics that says every particle of matter, such as an electron, has one or more superpartners that is the same except for a precise difference in their momentum.

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Feb 28, 2019

NVIDIA Transfer Learning Toolkit

Posted by in categories: biotech/medical, robotics/AI

The is ideal for deep learning application developers and data scientists seeking a faster and efficient deep learning training workflow for various industry verticals such as Intelligent Video Analytics (IVA) and Medical Imaging. Transfer Learning Toolkit abstracts and accelerates deep learning training by allowing developers to fine-tune NVIDIA provided pre-trained models that are domain specific instead of going through the time-consuming process of building Deep Neural Networks (DNNs) from scratch. The pre-trained models accelerate the developer’s deep learning training process and eliminate higher costs associated with large scale data collection, labeling, and training models from scratch.

The term “transfer learning” implies that you can extract learned features from an existing neural network and transfer these learned features by transferring weights from an existing neural network. The Transfer Learning Toolkit is a Python based toolkit that enables developers to take advantage of NVIDIA’s pre-trained models and offers technical capabilities for developers to add their own data to make the neural networks smarter by retraining and allowing them to adapt to the new network changes. The capabilities to simply add, prune and retrain networks improves the efficiency and accuracy for deep learning training workflow.

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Feb 28, 2019

Korea: Researchers 3D Printing Tracheas with Epithelial Cells & Chondrocytes

Posted by in categories: 3D printing, bioprinting, biotech/medical

Korean researchers have been experimenting further in the bioprinting of tracheal implants, publishing recent results in ‘Trachea with Autologous Epithelial Cells and Chondrocytes.’ The team of scientists details their use of polycaprolactone and hydrogel mixed with nasal epithelial and auricular cartilage cells.

After bioprinting an artificial trachea with these materials and tissue, they transplanted them into 15 rabbits, six of which were a control group. The goal was to find a way to overcome tracheal problems due to tumors, the most common of which are adenoid cystic carcinomas and squamous cell carcinomas. Previously there have been substantial challenges in creating viable tracheas that are anatomically correct and can produce a ciliated epithelium. Issues have arisen with infection, implants that become dislodged, have migrated, or experienced obstruction.

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Feb 28, 2019

New milestones in helping prevent eye disease with Verily

Posted by in categories: biotech/medical, information science, robotics/AI

Over the last three years, Google and Verily—Alphabet’s life sciences and healthcare arm—have developed a machine learning algorithm to make it easier to screen for disease, as well as expand access to screening for DR and DME. As part of this effort, we’ve conducted a global clinical research program with a focus on India. Today, we’re sharing that the first real world clinical use of the algorithm is underway at the Aravind Eye Hospital in Madurai, India.


Google and Verily share updates to their initiative to diagnose diabetic eye disease leveraging machine learning.

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