Lifeboat Foundation: Safeguarding Humanity
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Category: biotech/medical – Page 2084

After breaking all the records related to training computer vision models, NVIDIA now claims that it’s AI platform is able to train a natural language neural network model based on one of the largest datasets in a record time. It also claims that the inference time is just 2 milliseconds which translates to an extremely fast response from the model participating in a conversation with a user.

After computer vision, natural language processing is one of the top applications of AI. From Siri to Alexa to Cortana to Google Assistant, all conversational user experiences are powered by AI.

The advancements in AI research is putting the power of language understanding and conversational interface into the hands of developers. Data scientists and developers can now build custom AI models that work exactly like Alexa and Siri but for a specialized and highly customized industry use case from the healthcare or legal vertical. This enables doctors and lawyers to interact with expert agents that can understand the terminology and the context of the conversation. This new user experience is going to be a part of future line of business applications.

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Aren Jay shared this cogent article to my Timeline… It is not new even Hippocrates was able to determine that the gut causes and or assists in all diseases. But the 19th and 20th centuries researchers began saying that microbes are good for mankind which sent science reeling through generations until this day… Respect r.p.berry & AEWR wherein we have developed a formula and Algorithm that deals with this very serious problem completely. A very expensive cure but one that will take Woman-Man past the Escape Velocity so many have written about…

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Today, we’re offering another discussion from Ending Age-Related Diseases 2019, our highly successful two-day conference that featured talks from leading researchers and investors, bringing them together to discuss the future of aging and rejuvenation biotechnology.

Today, we’re offering another talk from Ending Age-Related Diseases 2019, our highly successful two-day conference that featured talks from leading researchers and investors, bringing them together to discuss the future of aging and rejuvenation biotechnology.

Ronald Kohanski, Deputy Director of the Division of Aging Biology at the National Institute of Aging, gave a talk entitled Concepts and Perspectives in Geroscience. He discussed the ways in which aging affects systems and cells, the problems with using lifespan as an endpoint, the concept of resiliency, parabiosis, telomeres, unexpected effects at a distance with regards to interventions, and several in-depth concepts relating to the aging of specific cell types, such as muscle and brain cells.

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Stanford engineers have developed a new type of wearable technology called BodyNet that detects physiological signals emanating from the skin. The novel tech consists of wireless sensors that stick like band-aids and beam readings.

A body area sensor network (bodyNET) is a collection of networked sensors that can be used to monitor human physiological signals. For its application in next-generation personalized healthcare systems, seamless hybridization of stretchable on-skin sensors and rigid silicon readout circuits is required. Here, we report a bodyNET composed of chip-free and battery-free stretchable on-skin sensor tags that are wirelessly linked to flexible readout circuits attached to textiles. Our design offers a conformal skin-mimicking interface by removing all direct contacts between rigid components and the human body. Therefore, this design addresses the mechanical incompatibility issue between soft on-skin devices and rigid high-performance silicon electronics. Additionally, we introduce an unconventional radiofrequency identification technology where wireless sensors are deliberately detuned to increase the tolerance of strain-induced changes in electronic properties. Finally, we show that our soft bodyNET system can be used to simultaneously and continuously analyse a person’s pulse, breath and body movement.

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For example, the embryos of mice that had been impregnated at the same time and then irradiated at the same time all developed the same foot deformity. The embryos that were radiated a day later all had a different foot deformity. A third group of mice, radiated on a different day, all had short tails.

Through extrapolation, Dr. Russell determined that in humans, developing fetuses were most vulnerable to radiation during the mother’s first seven weeks of pregnancy. Because women generally don’t know right away whether they are pregnant, Dr. Russell recommended that non-urgent diagnostic X-rays be taken in the 14 days after the onset of a woman’s menstrual period. Women don’t ovulate for those two weeks, so Dr. Russell reasoned that they could not become pregnant and doctors could avoid potentially causing harm to a fetus by using radiation.

That recommendation was adopted around the world and is the reason doctors, before taking X-rays, ask women of childbearing age if they are pregnant or if they think they might be pregnant.

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A letter was recently published in Nature on 329,000 young people identifying 74 genetic variants—spelling mistakes in single nucleotides in the six billion letter human genome—which can be used to predict nearly 20 percent of the variation in school years completed, a quantitative trait of fortitude which is correlated to general intelligence, and which you can learn about by sequencing your own genome.

Staple that to your college application.

Even before the “molecular age,” we were on guard for the slightest tips that show we are more or less valued than our peers. But there was also caution from the academics that there was actually very little we could do to leverage our biology for improvement. In 1924, the Harvard geneticist William Castle quipped that “we are scarcely as yet in a position to do more than make ourselves ridiculous in this matter. We are no more in a position to control eugenics than the tides of the ocean.”

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One day, who knows when, artificial intelligence could hollow out the job market. But for now, it is generating relatively low-paying jobs. The market for data labeling passed $500 million in 2018 and it will reach $1.2 billion by 2023, according to the research firm Cognilytica. This kind of work, the study showed, accounted for 80% of the time spent building AI technology.

Is the work exploitative? It depends on where you live and what you’re working on. In India, it is a ticket to the middle class. In New Orleans, it’s a decent enough job. For someone working as an independent contractor, it is often a dead end.

There are skills that must be learned — like spotting signs of a disease in a video or medical scan or keeping a steady hand when drawing a digital lasso around the image of a car or a tree. In some cases, when the task involves medical videos, pornography or violent images, the work turns grisly.

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Fatigue affects majority of MS patients, impacting quality of life and ability to work full time. Higher levels of blood high-density lipoprotein (HDL) may improve fatigue in multiple sclerosis patients, according to a new University at Buffalo-led study.

The pilot study, which investigated the effects of fat levels in blood on fatigue caused by multiple sclerosis, found that lowering total cholesterol also reduced exhaustion.

The results, published recently in PLOS ONE and led by Murali Ramanathan, PhD, professor in the UB School of Pharmacy and Pharmaceutical Sciences, highlight the impact that changes in diet could have on severe fatigue, which impacts the majority of those with multiple sclerosis.

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University of Gothenburg NEWS: JUN 15, 2017.

Researchers have identified an antioxidant – richly occurring in broccoli – as a new antidiabetic substance. A patient study shows significantly lower blood sugar levels in participants who ate broccoli extract with high levels of sulforaphane.

“There are strong indications that this can become a valuable supplement to existing medication,” says Anders Rosengren, Docent in Metabolic Physiology at the University of Gothenburg.

The publication in the journal Science Translational Medicine builds on several years’ research at Sahlgrenska Academy and Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, and the Faculty of Medicine at Lund University.

Continue reading “Broccoli in focus when new substance against diabetes has been identified” | >