Lifeboat Foundation

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These artificial muscles could revolutionize medical implants.

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The world’s smallest robots: rise of the nanomachines.

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Russia’s ongoing nuclear fallout challenges.

MUSLYUMOVO, Russia (AP) — At first glance, Gilani Dambaev looks like a healthy 60-year-old man and the river flowing past his rural family home appears pristine. But Dambaev is riddled with diseases that his doctors link to a lifetime’s exposure to excessive radiation, and the Geiger counter beeps loudly as a reporter strolls down to the muddy riverbank.

Some 50 kilometers (30 miles) upstream from Dambaev’s crumbling village lies Mayak, a nuclear complex that has been responsible for at least two of the country’s biggest radioactive accidents. Worse, environmentalists say, is the facility’s decades-old record of using the Arctic-bound waters of the Techa River to dump waste from reprocessing spent nuclear fuel, hundreds of tons of which is imported annually from neighboring nations.

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After centuries of training surgeons in crowded operating theatres, Ahmed thinks that virtual and augmented reality can be used to train tens of thousands of students simultaneously.

A new water-based coating could be added to the production process of metals, ceramics or glass. This will prevent the spread of the deadly supergbugs and could also kill disease-causing pathogens.

Nice; however, I see also 3D printing along with machine learning being part of any cosmetic procedures and surgeries.

With an ever-increasing volume of electronic data being collected by the healthcare system, researchers are exploring the use of machine learning—a subfield of artificial intelligence—to improve medical care and patient outcomes. An overview of machine learning and some of the ways it could contribute to advancements in plastic surgery are presented in a special topic article in the May issue of Plastic and Reconstructive Surgery®, the official medical journal of the American Society of Plastic Surgeons (ASPS).

“Machine learning has the potential to become a powerful tool in plastic surgery, allowing surgeons to harness complex clinical data to help guide key clinical decision-making,” write Dr. Jonathan Kanevsky of McGill University, Montreal, and colleagues. They highlight some key areas in which machine learning and “Big Data” could contribute to progress in plastic and reconstructive surgery.

Machine Learning Shows Promise in Plastic Surgery Research and Practice

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Lookout Silicon Valley — FDA is here. I do suggest tech companies working on technologies that enhances or alters any bio living things to ensure that your certifications, processes are well defined and govern, and in some cases the engineers, etc. will need some level of a medical background and certifications as well. Why many have stated that future engineers and technologists will need a bio background through education, etc.

Helmy Eltoukhy’s company is on a roll. The start-up is a leading contender in the crowded field of firms working on “liquid biopsy” tests that aim to be able to tell in a single blood draw whether a person has cancer.

Venture investors are backing Guardant Health to the tune of nearly $200 million. Leading medical centers are testing its technology. And earlier this month, it presented promising data on how well its screening tool, which works by scanning for tiny DNA fragments shed by dying tumor cells, worked on an initial group of 10,000 patients with late-stage cancers.

Continue reading “There’s a new sheriff in town in Silicon Valley — the FDA” »

The “Build A Bear” version of Gene Editing — go splice your own gene.

The biohacking movement has created a wealth of options for hobbyist scientists. In Brooklyn, a DIY lab offers a place for the curious to dabble.

Thru Gene Editing could we some day see no more murderers?

FOR MOST of us, understanding how mass murderers can kill without remorse is an impossible feat.