Group items tagged

King Tut, depicted here by a gold funerary mask, was a frail pharaoh, according to a new DNA study. Tutankhamun was beset by malaria and a bone disorder—and possibly compromised by his newly discovered incestuous origins, researchers say. (Read the full story: "King Tut Was Disabled, Malarial, and Inbred, DNA Shows.")Released Tuesday by the Journal of the American Medical Association, the report is the first DNA study ever conducted with ancient Egyptian royal mummies. It apparently solves several mysteries surrounding the 14th-century B.C. pharaoh, including how he died and who his parents were."He was not a very strong pharaoh. He was not riding the chariots," said study team member Carsten Pusch, a geneticist at Germany's University of Tübingen. "Picture instead a frail, weak boy who had a bit of a club foot and who needed a cane to walk."

NI LabVIEW Robotics is a software package that provides a complete suite of tools to help you rapidly design sophisticated robotics systems for medical, agricultural, automotive, research, and military applications. The LabVIEW Robotics Software Bundle includes all of the functionality you need, from multicore real-time and FPGA design capabilities to vision, motion, control design, and simulation. Watch an introduction and demonstration of LabVIEW Robotics.

Icosatetraped does, in fact, mean “twenty-four legged.” I’m not sure how to inject “soft” into that word (icostatetrasquishaped?), but this robot does have 24 soft legs. Or rather, 8 legs are soft (and moving) at any one time, while the other 16 are pressurized to carry the weight of the bot. It can move at about 1 meter per minute, which isn’t especially fast, but who cares, look at all of those little legs go! Made from plastic medical tubing, particle board, a bunch of solenoids, a Mac Mini, and some 24 volt rotary vane compressors salvaged from Gulf War nerve gas detecting equipment, this is about as DIY as it gets, and it’s awesome.

Andrew Phillips holds the title of Scientist with Microsoft Research Cambridge, and he's working on a method of programming that compiles into DNA. Part of this involves a visual programming language called Stochastic Pi Machine, or SPiM. This system models biological processes to help give researchers feedback on how organisms will react to modifications. The hope is that this can be used to help scientists program for large biological systems using modular components compiled to DNA. Yes, I’m in way over my head here, but I do my best to ask Andrew about the role this will play in medical treatment going forward, what it means to DNA computing, and the ability of back-engineering the genetic code we don’t use now

French service robotics company Robosoft has introduced a robot called Kompaï designed to assist elderly and disabled people and others who need special care. The mobile robot talks, understands speech, and can navigate autonomously. It reminds people of meetings, keeps track of shopping lists, plays music, and works as a videoconference system for users to talk with their doctors, for example. The video below is pretty awesome. It shows a senior at Broca Hospital, in Paris, interacting with the robot after receiving only a few minutes of training. The man asks the robot about the time, date, and whether he has any appointments that day; Kompaï gives answers in a computerized voice.

Researchers at the NanoRobotics Laboratory of the École Polytechnique de Montréal, in Canada, are putting swarms of bacteria to work, using them to perform micro-manipulations and even propel microrobots. Led by Professor Sylvain Martel, the researchers want to use flagellated bacteria to carry drugs into tumors, act as sensing agents for detecting pathogens, and operate micro-factories that could perform pharmacological and genetic tests. They also want to use the bacteria as micro-workers for building things. Things like a tiny step pyramid. The video below shows some 5000 bacteria moving like a swarm of little fish, working together to transport tiny epoxy bricks and assemble a pyramidal structure -- all in 15 minutes. The video was presented at IROS last year, along with a wonderfully titled paper, "A Robotic Micro-Assembly Process Inspired By the Construction of the Ancient Pyramids and Relying on Several Thousands of Flagellated Bacteria Acting as Workers."

Andrew Phillips holds the title of Scientist with Microsoft Research Cambridge, and he's working on a method of programming that compiles into DNA. Part of this involves a visual programming language called Stochastic Pi Machine, or SPiM. This system models biological processes to help give researchers feedback on how organisms will react to modifications. The hope is that this can be used to help scientists program for large biological systems using modular components compiled to DNA. Yes, I’m in way over my head here, but I do my best to ask Andrew about the role this will play in medical treatment going forward, what it means to DNA computing, and the ability of back-engineering the genetic code we don’t use now.

I remember when, a decade ago, Kevin Warwick, a professor at the University of Reading, in the U.K., implanted a radio chip in his own arm. The feat caused quite a stir. The implant allowed him to operate doors, lights, and computers without touching anything. On a second version of the project he could even control an electric wheelchair and produce artificial sensations in his brain using the implanted chip. Warwick had become, in his own words, a cyborg. The idea of a cyborg -- a human-machine hybrid -- is common in science fiction and although the term dates back to the 1960s it still generates a lot of curiosity. I often hear people asking, When will we become cyborgs? When will humans and machines merge? Although some researchers might have specific time frames in mind, I think a better answer is: It's already happening. When we look back at the history of technology, we tend to see distinct periods -- before the PC and after the PC, before the Internet and after the Internet, and so forth -- but in reality most technological advances unfold slowly and gradually. That's particularly true with the technologies that are allowing us to modify and enhance our bodies.

When Pantelis Georgiou and his fellow biomedical engineers at Imperial College London decided to design an intelligent insulin pump for diabetes patients, they started at the source. "We asked ourselves, what does a pancreas do to control blood glucose?" Georgiou recalls. The answer is pretty well known: The organ relies primarily on two populations of cells—beta cells, to secrete insulin when blood glucose is high, and alpha cells, which release a hormone called glucagon when glucose levels are low. "We simulated them both in microchip form," Georgiou says. This biomimetic approach diverges from today's dominant method of delivering only insulin using a relatively simple control system.