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Transhumanism stuff out in these stories: http://z-news.link/the-future-of-the-earth-through-the-eyes-of-futurists-photo/ & http://yemcentral.com/2017/03/29/would-robots-make-better-po…an-humans/ & https://player.fm/series/lions-of-liberty-podcast/287-zoltan…nd-liberty


Futurism, or more precisely, futurology, is the study of possible hypotheses, probable and preferred options for the future. To understand what futurists predict in the improvement of the human condition, consider the progress happening in the field of science, medicine and computing.

1. Cure Alzheimer’s disease

At times, DNA testing can feel more like horoscopes than science. In many cases, we just don’t know enough about a gene to say what it means for our health. For this reason, the Food and Drug Administration has sought to protect consumers by preventing DNA testing companies from telling them whether or not they’re are at risk for a certain disease. Until now.

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  • In 2016 alone, 58,320 people in the U.S. died from leukemia. This new development could increase a patients’ chance of survival
  • Current treatment methods can increase a patient’s risk of secondary cancer after remission. This Engineered T-Cell approach has not shown to be carcinogenic

Wouldn’t it be wonderful if the need for chemotherapy no longer existed? In some cases, these treatments aren’t even effective enough to send patients into remission, but for many people, there are few other options.

What if there was an easier and more effective way to tackle cancer? Thanks to one recent case, there is.

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COLORADO SPRINGS, Colo. – The seats in Blue Origin’s suborbital spaceship are like a dentist’s chair that’s fully extended, with a big difference. You can float out of this one when weightlessness sets in.

Of course, we couldn’t get the zero-G experience when we tried out the seats in a mock-up of the New Shepard crew capsule, on display here at the 33rd Space Symposium. But we did get a condensed version of the 11-minute flight scenario, from launch to landing.

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The first step in producing an artificial thymus which has potential for cancer age related immune decline.


UCLA researchers have created a new system to produce human T cells, the white blood cells that fight against disease-causing intruders in the body. The system could be utilized to engineer T cells to find and attack cancer cells, which means it could be an important step toward generating a readily available supply of T cells for treating many different types of cancer.

The preclinical study, published in the journal Nature Methods, was led by senior authors Dr. Gay Crooks, a professor of pathology and laboratory medicine and of pediatrics and co-director of the Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research at UCLA, and Amelie Montel-Hagen, an associate project scientist in Crooks’ lab.

The thymus sits in the front of the heart and plays a central role in the immune system. It uses to make T cells, which help the body fight infections and have the ability to eliminate cancer cells. However, as people age or become ill, the thymus isn’t as efficient at making T cells.

Deep learning owes its rising popularity to its vast applications across an increasing number of fields. From healthcare to finance, automation to e-commerce, the RE•WORK Deep Learning Summit (27−28 April) will showcase the deep learning landscape and its impact on business and society.

Of notable interest is speaker Jeffrey De Fauw, Research Engineer at DeepMind. Prior to joining DeepMind, De Fauw developed a deep learning model to detect Diabetic Retinopathy (DR) in fundus images, which he will be presenting at the Summit. DR is a leading cause of blindness in the developed world and diagnosing it is a time-consuming process. De Fauw’s model was designed to reduce diagnostics time and to accurately identify patients at risk, to help them receive treatment as early as possible.

Joining De Fauw will be Brian Cheung, A PhD student from UC Berkeley, and currently working at Google Brain. At the event, he will explain how neural network models are able to extract relevant features from data with minimal feature engineering. Applied in the study of physiology, his research aims to use a retinal lattice model to examine retinal images.

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SAN FRANCISCO, April 4, 2017 /PRNewswire/ — Enlitic, a medical deep learning company, is pleased to announce that it has executed a Memorandum of Understanding (“MOU”) with Beijing Hao Yun Dao Information & Technology Co., Ltd (“Paiyipai”) to provide Enlitic’s deep learning solution to Paiyipai for diagnostic imaging in Health Check centers across China.

Paiyipai is a medical big data company. The company is a market leader in China in the analysis of individual laboratory medical test results, and the storage and distribution of user medical records.

The MOU forms the basis of collaboration for the first large-scale commercial deployment of Enlitic’s deep learning technology in China. It was executed following a successful 10,000 chest x-ray trial of Enlitic’s patient triage platform.

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