A compelling new study from an international team of researchers has described a novel protein could be a useful blood-based biomarker to monitor the progression of Alzheimer’s disease over a decade before any clinical symptoms appear.
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A new wearable patch can monitor your health through your sweat.
Fitness and health trackers are everywhere, but most of them are limited to collecting data on your heartbeat, how much your moving and information you manually input to their paired apps.
That’s helpful if you’re trying to get in shape, but for people suffering from chronic conditions and diseases — like kidney disease or cystic fibrosis — more exact and frequent analyses could alert them to life-endangering changes.
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The Future Yet To Be Imagined
Posted in economics, education, employment
Ladies Monday with Cindy Rampersaud.
How do we prepare young people for jobs that do not yet exist?
Global changes in technology, population and urbanisation are impacting the educational landscape. The role of skill-based education is now critical for many economies. Getting it right is essential for the economic and social aspirations of individuals, communities, employers, economies.
Saying farewell to coffee isn’t that easy. According to research about three-fifths of all our beloved coffee species are going to go extinct. This is a phenomenal amount of coffee that we risk losing.
Here’s something to think about as you sip that morning mochaccino:?Deforestation, climate change and the proliferation of pests and fungal pathogens are putting most of the world’s wild coffee species at risk of extinction.
At least 60 percent of wild coffee species are considered “threatened,” according to a study published this week in Science Advances. And fewer than half of all the wild species are safeguarded in so-called germplasm collections—banks for seed and living plants kept in protected areas as backups.
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Mention artificial intelligence (AI) or artificial neural networks, and images of computers may come to mind. AI-based pattern recognition has a wide variety of real-world uses, such as medical diagnostics, navigation systems, voice-based authentication, image classification, handwriting recognition, speech programs, and text-based processing. However, artificial intelligence is not limited to digital technology and is merging with the realm of biology—synthetic biology and genomics, to be more precise. Pioneering researchers led by Dr. Lulu Qian at the California Institute of Technology (Caltech) have created synthetic biochemical circuits that are able to perform information processing at the molecular level–an artificial neural network consisting of DNA instead of computer hardware and software.
Artificial intelligence is in the early stages of a renaissance period—a rebirth that is largely due to advances in deep learning techniques with artificial neural networks that have contributed to improvements in pattern recognition. Specifically, the resurgence is largely due to a mathematical tool that calculates derivatives called backpropagation (backward propagation)—it enables artificial neural networks to adjust hidden layers of neurons when there are outlier outcomes for more precise results.
Artificial neural networks (ANN) are a type of machine learning method with concepts borrowed from neuroscience. The structure and function of the nervous system and brain were inspiration for artificial neural networks. Instead of biological neurons, ANNs have artificial nodes. Instead of synapses, ANNs have connections that are able to transmit signals between nodes. Like neurons, the nodes of ANNs are able to receive and process data, as well as activate other nodes connected to it.
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