26 Feb AI, big data and precision medicine in cancer: challenges to face

While AI and big data are more and more used to tackle cancer, experts caution: there cannot be exceptionalism for AI in medicine. It requires rigorous studies, publication of the results in peer-reviewed journals, and clinical validation in a real-world environment, before implementation in patient care.

2019 has begun with news regarding the use of artificial intelligence (AI) and big data in cancer. In the UK, the NHS has started a collaboration with Kheiron Medical to AI algorithms to try to diagnose breast cancer as competently or more than human radiologists, launching a trial on historic scans, Financial Times reports. In the US, Recursion Pharmaceuticals has announced the in-licensing of a clinical-stage drug candidate (REC-2282) for Neurofibromatosis type 2 or NF2, a rare hereditary cancer predisposition syndrome. The drug was identified using their artificial intelligence and big data platform. Many companies – including Google – are developing their own AI and data systems for a better assessment of cancer diagnosis and treatment.

Sourced through Scoop.it from: cancerworld.net

26 Feb Dubai Police starts training on flying motorbikes

Dubai Police now have a revamped model of the hoverbike — and they’ve taken it for a test flight.

Sourced through Scoop.it from: www.cnn.com

19 Feb Massive collision in the exoplanetary system Kepler 107

Since, in 1995 the first extrasolar planet was discovered almost 4,000 planets have been found around the nearest stars. This allows us to study a large variety of configurations for these planetary systems. The evolution of the planets orbiting other stars can be affected, mainly, by two phenomena: the evaporation of the upper layers of the planet due to the effect of the X-rays and ultraviolet emitted by the central star, and by the impacts of other celestial bodies of the size of a planet.

The former effect has been observed a number of times in extrasolar systems, but until now there have been no proof of the existence of major impacts, as has apparently occurred in the Kepler 107 system.

Sourced through Scoop.it from: www.sciencedaily.com

19 Feb Artificial Intelligence Study of Human Genome Finds Unknown Human Ancestor

A recent study used machine learning technology to analyze eight leading models of human origins and evolution, and the program identified evidence in the human genome of a “ghost population” of human ancestors. The analysis suggests that a previously unknown and long-extinct group of hominins interbred with Homo sapiens in Asia and Oceania somewhere along the long, winding road of human evolutionary history, leaving behind only fragmented traces in modern human DNA.

The study, published in Nature Communications, is one of the first examples of how machine learning can help reveal clues to our own origins. By poring through vast amounts of genomic data left behind in fossilized bones and comparing it with DNA in modern humans, scientists can begin to fill in some of the gaps of our species’ evolutionary history.

Sourced through Scoop.it from: www.smithsonianmag.com

19 Feb More than thousand new objects and phenomena detected in the night sky

Casual stargazers may look at the black area among stars and think that there’s nothing there except empty space. But the night sky hides many secrets invisible to the naked eye.

Less than a year into its mission, a sky-survey camera in Southern California shows just how full the sky is. The Zwicky Transient Facility, based at the Palomar Observatory in San Diego County, has identified over a thousand new objects and phenomena in the night sky, including more than 1,100 new supernovae and 50 near-Earth asteroids, as well as binary star systems and black holes.

Sourced through Scoop.it from: www.washington.edu

12 Feb New computational method helps to detect any human virus

Computational method helps scientists examine microbes at a larger, more comprehensive scale than previously possible.

During the Zika virus outbreak of 2015–16, public health officials scrambled to contain the epidemic and curb the pathogen’s devastating effects on pregnant women. At the same time, scientists around the globe tried to understand the genetics of this mysterious virus. The problem was, there just aren’t many Zika virus particles in the blood of a sick patient. Looking for it in clinical samples can be like fishing for a minnow in an ocean.

A new computational method developed by Broad Institute scientists helps overcome this hurdle. Built in the lab of Broad Institute researcher Pardis Sabeti, the “CATCH” method can be used to design molecular “baits” for any virus known to infect humans and all their known strains, including those that are present in low abundance in clinical samples, such as Zika. The approach can help small sequencing centers around the globe conduct disease surveillance more efficiently and cost-effectively, which can provide crucial information for controlling outbreaks.

The new study was led by MIT graduate student Hayden Metsky and postdoctoral researcher Katie Siddle, and it appears online in Nature Biotechnology.

Sourced through Scoop.it from: www.broadinstitute.org

12 Feb Scientists Develop First Fabric to Automatically Cool or Insulate Depending on Conditions

Despite decades of innovation in fabrics with high-tech thermal properties that keep marathon runners cool or alpine hikers warm, there has never been a material that changes its insulating properties in response to the environment. Until now.

University of Maryland researchers have created a fabric that can automatically regulate the amount of heat that passes through it. When conditions are warm and moist, such as those near a sweating body, the fabric allows infrared radiation (heat) to pass through. When conditions become cooler and drier, the fabric reduces the heat that escapes. The development was reported in the February 8, 2019 issue of the journal Science.

Sourced through Scoop.it from: www.umdrightnow.umd.edu

12 Feb Columbia Engineers Translate Brain Signals Directly into Speech

Advance marks critical step toward brain-computer interfaces that hold immense promise for those with limited or no ability to speak.

In a scientific first, Columbia neuroengineers have created a system that translates thought into intelligible, recognizable speech. By monitoring someone’s brain activity, the technology can reconstruct the words a person hears with unprecedented clarity. This breakthrough, which harnesses the power of speech synthesizers and artificial intelligence, could lead to new ways for computers to communicate directly with the brain. It also lays the groundwork for helping people who cannot speak, such as those living with as amyotrophic lateral sclerosis (ALS) or recovering from stroke, regain their ability to communicate with the outside world.

Sourced through Scoop.it from: zuckermaninstitute.columbia.edu

12 Feb AntWorld: An ant colony has memories that its individual members don’t have

Why your brain is like an ant colony: they both get wiser and more stable by using collective memory for learning.

Like a brain, an ant colony operates without central control. Each is a set of interacting individuals, either neurons or ants, using simple chemical interactions that in the aggregate generate their behaviour. People use their brains to remember. Can ant colonies do that? This question leads to another question: what is memory?

Sourced through Scoop.it from: aeon.co