Lifeboat Foundation: Safeguarding Humanity
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Category: health – Page 425

Oregon Health & Science University is currently seeking volunteers for human testing of its “promising” HIV vaccine. If that’s not enough, the Oregon university’s approach to its ground-breaking HIV vaccine is reportedly being used to develop vaccines for other diseases and infections, including tuberculosis. While many believe the TB is virtually eradicated, it actually kills almost 2 million people every year.

As Oregon Live reports, the Oregon university’s novel HIV vaccine could equate a huge step forward in the fight against HIV, as well as give the Oregon school the confidence and research it needs to pursue vaccinations against other deadly infections. In addition to being a stepping stone toward the prevention of HIV and TB, the current vaccine trials could open the door for vaccines that would prevent malaria and hepatitis C, among others.

“HIV is the poster child because it affects so many people, but there are many other conditions that are also extremely challenging to prevent or cure.”

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It’s not all that easy to call KnuEdge a startup. Created a decade ago by Daniel Goldin, the former head of the National Aeronautics and Space Administration, KnuEdge is only now coming out of stealth mode. It has already raised $100 million in funding to build a “neural chip” that Goldin says will make data centers more efficient in a hyperscale age.

Goldin, who founded the San Diego, California-based company with the former chief technology officer of NASA, said he believes the company’s brain-like chip will be far more cost and power efficient than current chips based on the computer design popularized by computer architect John von Neumann. In von Neumann machines, memory and processor are separated and linked via a data pathway known as a bus. Over the years, von Neumann machines have gotten faster by sending more and more data at higher speeds across the bus as processor and memory interact. But the speed of a computer is often limited by the capacity of that bus, leading to what some computer scientists to call the “von Neumann bottleneck.” IBM has seen the same problem, and it has a research team working on brain-like data center chips. Both efforts are part of an attempt to deal with the explosion of data driven by artificial intelligence and machine learning.

Goldin’s company is doing something similar to IBM, but only on the surface. Its approach is much different, and it has been secretly funded by unknown angel investors. And Goldin said in an interview with VentureBeat that the company has already generated $20 million in revenue and is actively engaged in hyperscale computing companies and Fortune 500 companies in the aerospace, banking, health care, hospitality, and insurance industries. The mission is a fundamental transformation of the computing world, Goldin said.

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Nice.

LetterOne, the investment vehicle owned by Russian tycoon Mikhail Fridman, has launched L1 Health in the US and appointed Diageo chairman Dr Franz Humer to the firm’s advisory board.

L1 Health will target up to $3bn (£2.1bn) of investments in the global healthcare sector over the next three years “with the goal of making sizeable equity investments in businesses that it can support and help grow for significant periods of time”, the group said.

LetterOne said it chose to base the new venture in the US so as to be closer to the markets it wishes to enter, and it plans to focus on “areas where scale, market consolidation and efficiency improvements can drive value”. LetterOne added that L1 Health is already looking at a variety of investment opportunities.

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Click on photo to start video.

Legendary master filmmaker Werner Herzog (Grizzly Man, Cave of Forgotten Dreams) examines the past, present and constantly evolving future of the Internet in Lo And Behold: Reveries Of The Connected World. Herzog conducted original interviews with cyberspace pioneers and prophets such as PayPal and Tesla co-founder Elon Musk, Internet protocol inventor Bob Kahn, and famed hacker Kevin Mitnick. These provocative conversations reveal the ways in which the online world has transformed how virtually everything in the real world works, from business to education, space travel to healthcare, and the very heart of how we conduct our personal relationships.

See it in theatres, On Demand, Amazon Video and iTunes August 19th.

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Following a controversial top-secret meeting last month, a group of scientists have announced that they’re working on synthesizing human genes from scratch. The project, currently titled HGP-Write, has the stated aim of reducing the cost of gene synthesis to “address a number of human health challenges.” As the group explains, that includes growing replacement organs, engineering cancer resistance and building new vaccinations using human cells. But in order for all of that to happen, the scientists may have to also work on developing a blueprint for what a perfect human would look like.

In some ways, the concept is just an extension of current gene editing (CRISPR) techniques that are proving their worth by saving lives. CRISPR has already been used to save the life of a one-year-old girl with a terminal case of drug-resistant leukemia. Other initiatives using the system involve curing hemophilia and HIV, although the latter has proven capable of fighting back against attempts to kill it. This new project, meanwhile, will devote time and resources to examining the ethics and economics of how far we should go with gene editing.

HGP-Write is being led by DNA pioneer George Church, a Harvard biologist who is already working on various projects to tweak humanity. In a profile, Stat revealed that the scientist published a paper in 2014 pushing “de novo synthesis,” the concept of creating perfect genes from scratch. In early 2015, he used CRISPR to implant wooly mammoth DNA into a living Asian elephant as the first step toward bringing extinct animals back from the dead. Which, when you write it down like that, makes him sound like a less plausible version of John Hammond, the fictional creator of Jurassic Park.

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A feel good story on 3D printers.

This lil’ kitty named Sonic is now bionic.

The black-and-white cat, who was surrendered to Denver Animal Shelter over three months ago, had been born with a leg deformity called radial agenesis, according to Meghan Hughes, communications director for Denver Environmental Health.

Because of the deformity, Sonic was forced to drag his leg on the ground to move, she told ABC News today.

Continue reading “Kitten With Leg Deformity Gets 3D Printed Prosthetic Paw to Help Him Walk” | >

A group of more than 2,000 physicians is calling for the establishment of a universal government-run health system in the US, in a paper in the American Journal of Public Health.

According to the proposal released Thursday, the Affordable Care Act did not go far enough in removing barriers to healthcare access. The physicians’ bold plan calls for implementing a single-payer system similar to Canada’s, called the National Health Program, that would guarantee all residents healthcare.

The new single-payer system would be funded mostly by existing US government funding. The physicians point out that the US government already pays for two-thirds of all healthcare spending in the US, and a single-payer system would cut down on administrative costs, so a transition to a single-payer system would not require significant additional spending.

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My new article for Vice Motherboard on extreme biohacking that compares the Uncanny Valley to Speciation Syndrome:

Transhumanism tech like CRISPR, 3D printing, and coming biological regeneration of limbs will not only change lives for those that have deformities, but it will change how we look at things like a person with a three-foot tail and maybe even a second head.

At the core of all this is the ingrained belief that the human being is pre-formed organism, complete with one head, four limbs, and other standard anatomical parts. But in the transhumanist age, the human being should be looked at more like a machine—like a car, if you will: something that comes out a particular way with certain attributes, but then can be heavily modified. In fact, it can be rebuilt from scratch.

In the future, there may even be walk-in clinics where people can go to have various gene treatments done to affect their bodies. Already, we have IVF centers where people can use radical tech to privately get pregnant—and also control and monitor various stages of a child’s birth. Eventually, if government allows it, gene editing centers will also offer a multitude of designer baby traits, some which also would come via CRISPR. We might even eventually use artificial wombs for the whole process.

Continue reading “The Coming Genetic Editing Age of Humans Won’t Be Easy to Stomach” | >

By ransdell pierson and bill berkrot.

(Reuters) — U.S. health officials on Thursday reported the first case in the country of a patient with an infection resistant to a last-resort antibiotic, and expressed grave concern that the superbug could pose serious danger for routine infections if it spreads.

“We risk being in a post-antibiotic world,” said Thomas Frieden, director of the U.S. Centers for Disease Control and Prevention, referring to the urinary tract infection of a 49-year-old Pennsylvania woman who had not traveled within the prior five months.

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Perhaps it’s serendipitous, then, that the machines have finally arrived. Truly smart, truly impressive robots and machine learning algorithms that may help usher in a new Green Revolution to keep humans fed on an increasingly mercurial planet. Think satellites that automatically detect drought patterns, tractors that eyeball plants and kill the sick ones, and an AI-powered smartphone app that can tell a farmer what disease has crippled their crop.

Forget scarecrows. The future of agriculture is in the hands of the machines.

A Digital Green Thumb

Deep learning is a powerful method of computing in which programmers don’t explicitly tell a computer what to do, but instead train it to recognize certain patterns. You could feed a computer photos of diseased and healthy plant leaves, labeled as such. From these it will learn what diseased and healthy leaves look like, and determine the health of new leaves on its own.

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