To create a new drug, researchers have to test tens of thousands of compounds to determine how they interact. And that’s the easy part; after a substance is found to be effective against a disease, it has to perform well in three different phases of clinical trials and be approved by regulatory bodies.
It’s estimated that, on average, one new drug coming to market can take 1,000 people, 12–15 years, and up to $1.6 billion.
On May 16-19th a longevity research conference is being held in Paris.
On May 16-19th renowned researchers and advocates of healthy life extension will gather in Paris to discuss recent breakthroughs in regenerative medicine. The conference organized by the International Cell Senescence Association (ICSA) “The Ins and Outs of Cellular Senescence: Understanding the Biology to Foster Healthy Aging and Suppression of Disease” will take place in the famous Pasteur Institute in Paris. In addition to the main conference, an open public event will be held on the afternoon of May, 19th: an international panel of experts in aging research under the lead of Eric Gilson (Ircan research institute on cancer and aging in Nice) will reveal what we know about biological aging today and what medicine can do to prevent age-related diseases.
The main event will feature the latest cutting-edge findings in cell senescence – one of this year’s hottest topics in aging research with a host of guest speakers and discussions taking place over the four days. It will also explore recent findings such as the fact that some kinds of senescent cell appear to have positive effects like suppressing tumour development, or helping with regenerating tissues or wound healing – but seem to be different from those that accumulate in the body damaging health.
“Members of a Hindu far-right organization called Arogya Bharati say they are working with expectant couples in the country to produce “customized” babies, who, they hope, will be taller, fairer and smarter than other babies, according to a report in the Indian Express newspaper.”
“The group’s health officials claimed that their program — a combination of diet, ayurvedic medicine and other practices — has led to 450 of these babies, and they hope to have “thousands” more by 2020, the report said.”
“The parents may have lower IQ, with a poor educational background, but their baby can be extremely bright. If the proper procedure is followed, babies of dark-skinned parents with lesser height can have fair complexion and grow taller,” Hitesh Jani, the group’s national convener, told the newspaper.”
My new article at Wired UK: http://www.wired.co.uk/article/basic-economy-neural-prosthetics #Future #BasicIncome
But it’ll take more than just a mind tapped into the cloud to be widely competitive in the overall job market. Augmented limbs, bionic organs, and widespread use of exoskeleton technology will be needed to compete against robotic strength.
For years I’ve been supportive of a basic income, which would provide a monthly income for the poor – mostly because I saw it as the only logical way to keep people fed and housed, while still allowing for technological and economic evolution. Now, with neural prosthetics and upgraded bodies, I see the future may, instead, be full of capitalistic enterprise, fuelled by transhumanist technologies that allow us to more closely resemble the machines.
That’s not to say I’m abandoning my views on basic income. Instead, I believe there will be another aspect to the future economy that isn’t only for the robot and AI manufacturers, but for hundreds of millions – maybe billions – of people willing to use tech to compete against machines. A future motto of humanity and capitalism might be: “If you can’t beat a machine, become one.” As a radical science and technology advocate, that’s a philosophy I can support.
Zoltan Istvan is a futurist, author of The Transhumanist Wager, and a Libertarian candidate for California Governor.
US doctors are using a new technique that allows patients to regrow a new layer of healthy skin in as little as four days.
Doctors harvested nearly 24 million stem cells from an area smaller than an iPhone 5, and sprayed them back on to his body. After four days, a thin layer of skin had regrown over his arms and chest, areas which had suffered the least deep burns. After 20 days, ‘all of the areas treated with cell spray grafting were noted as completely healed’.
Mr Bold explained that, in normal circumstances, wounds heal from the outside in, with healthy skin on the edges supplying the stem cells needed for the repair process. Plastic surgeons assist by taking skin grafts and puncturing them with many holes. This they lay on the wound. The holes cover over with skin, creating a new layer.
British biomedical engineers have developed a new generation of intelligent prosthetic limbs that allows the wearer to reach for objects automatically, without thinking — just like a real hand.
The hand’s camera takes a picture of the object in front of it, assesses its shape and size, picks the most appropriate grasp, and triggers a series of movements in the hand — all within milliseconds.
University of Nottingham researchers created an AI system that scanned routine medical data to predict which patients would have strokes or heart attacks within 10 years. The AI system beat the standard method of prediction, correctly making calls in 355 more cases than traditional means. Predicting cardiovascular events like strokes and heart attacks is a notoriously challenging task. In fact, the researchers note in their recent paper that around half of all strokes and heart attacks occur in patients who were never identified as being “at risk.”
The records included a decade of health outcomes, lab data, drug information, hospital records, and demographic information. The team identified the distinguishing characteristics of patients who experienced strokes and heart attacks using 75 percent of the records. They then tested their models against the standard guidelines using the remaining 25 percent of the records. The standard guidelines scored 0.728 out of 1.0, with the latter signifying 100 percent accuracy. The machine models scored between 0.745 to 0.764, with the neural network making 355 more accurate predictions than the standard guidelines, therefore earning the best score. Had those predictions been made in real time, the patients could have been provided with preventative care.
