From bone marrow transplant to winning medals

BBC News

Innovation in this area is being helped by the UK National Health Service's (NHS) Electronic Prescription Service (EPS), which has been rolled out over the last few years. It enables doctors to send prescriptions direct to pharmacies electronically without any need for paper. Such efficiencies have saved the NHS £137m; doctors' practices £328m; pharmacies £59m; and patients £75m, between 2013 and 2016, NHS Digital says. So his company spent three-and-a-half years building a platform, PharmacyOS, to handle every aspect of the repeat prescription process: prescribing, dispensing, delivering, billing, handling insurance claims, as well as pill-taking monitoring.

Soft Robotic Exosuit Can Help Stroke Patients

IEEE Spectrum Robotics Channel

Soft wearable robotic exosuits can help patients walk after strokes, a new study finds. However, while the rigid nature of most exoskeletons can help them provide large amounts of assistance for patients who could not otherwise walk, they may not be suitable for people who have some capacity to walk on their own, as they can restrict natural movement, Walsh says. "By providing a small amount of assistance, our soft exosuit could provide significant benefits for people who retain some ability to walk, such as most stroke survivors, and allow them to move more naturally than they could with a more rigid system," Walsh says. The scientists are now planning to see whether continued use of this soft exosuit can help stroke patients learn how to walk better without the device, Walsh says.

Artificial intelligence helps stroke patients walk again


The research comes from the Center for Neuroprosthetics and Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland. The regathers behind the development are hopeful it will lead to better outcomes for patients undergoing rehabilitation following incidences like a stroke or a spinal cord injury or strokes. READ MORE: Mayo Clinic's new startup to tackle diseases using AI Recovery plans for spinal cord injuries and strokes typically require usually many hours of supported walking, using devices like treadmills, with the walking aid pre-programmed by a medic to provide a steady pace. The new development has been described in the journal Science Translational Medicine, with the research paper headed "A multidirectional gravity-assist algorithm that enhances locomotor control in patients with stroke or spinal cord injury."

#Artificialintelligence can predict the success of IVF embryos better than do...


Science Daily explores the issue in more depth (4 July 2017): "However, because the artificial intelligence system is a technique which analyses the embryo through mathematical variables, it offers low subjectivity and high repeatability, making embryo classification more consistent. "Nevertheless," said Professor Rocha, "the artificial intelligence system must be based on learning from a human being -- that is, the experienced embryologists who set the standards of assessment to train the system."" See also EurekAlert (4 July 2017): "The system utilizes a sophisticated architecture of multi-class deep neural networks (DNNs) and DNN ensembles trained on thousands of samples of carefully selected cells of multiple classes: embryonic stem cells, induced pluripotent stem cells, progenitor stem cells, adult stem cells and adult cells to recognize the class and embryonic state of the sample, achieving high accuracy in simulations. The sample sets were augmented with carefully selected and manually curated data from public repositories coming from multiple experiments and generated on different platforms.

Machine learning predicts the look of stem cells


The Allen Cell Explorer, produced by the Allen Institute for Cell Science in Seattle, Washington, includes a growing library of more than 6,000 pictures of induced pluripotent stem cells (iPS) -- key components of which glow thanks to fluorescent markers that highlight specific genes. Rick Horwitz, director of the Allen Institute for Cell Science, says that the institute's images may hasten progress in stem cell research, cancer research and drug development by revealing unexpected aspects of cellular structure. The Allen Institute's visual emphasis on stem cells dovetails with a number of efforts to catalogue other aspects of cells. Aviv Regev, a computational biologist at the Broad Institute in Cambridge, Massachusetts, who is working on the Human Cell Atlas, says that the Allen Cell Explorer complements her project by focusing on the look of cellular features as opposed to how genes, RNA and proteins interact within the cell.

There's an app for that! Using your smartphone to test for Anemia. » Behind the Headlines


Anemia is a blood disorder that results from a lack of red blood cells or dysfunctional red blood cells in the body. It's called HemaApp and is an app that noninvasively estimates the blood hemoglobin concentration using the camera on a smartphone. The research team, comprised of electrical engineers, computer scientists, and hematologists from the University of Washington, partnered with Seattle Children's Hospital to develop HemaApp. HemaApp uses a standard smartphone camera, external light sources, and algorithms to analyze the color of a patient's blood and estimate hemoglobin levels.

Human Chimera Research's Huge (and Thorny) Potential


The recent smear campaign against Planned Parenthood's fetal tissue practices is just the latest example of how these ongoing attacks have had a chilling effect on laws that might advance human developmental biology research. Human chimeras are mixtures of human cells with rodent, pig, or other animal embryos. To illustrate the complexity, we can look at the example of a recent study in which scientists created chimeric mice with a type of human brain cell called glia; these cells were present in a high abundance in the mouse brains. Other tough questions are popping up as well in related areas of cutting-edge research using human pluripotent stem cells.

To Our Health


Everything we just said, is also relevant to how Mindmaze uses brainwaves and headsets to treat amputees, stroke survivors, victims of irreparable brain and spinal trauma, Parkinson's patients, Cerebral Palsey patients, and those suffering from Post-Traumatic Stress Disorder. Likewise, Expedia, the online travel company helps children suffering from cancer at St. Jude's hospital in San Francisco get to travel to wherever they wish via VR. Mindmaze takes a fourth transformation approach that employs MR glasses, motion capture -- a technology used in animated filmmaking where an actor's motions are precisely mimicked by a computer-generated animation -- and a technique called mirroring. Using the same technology tools, Mindmaze uses MR to teach patients to start using limbs again, and is succeeding generally faster than traditional physical therapy.

IBM's Watson Detected Rare Leukemia In Just 10 Minutes


The supercomputer swiftly cross-referenced a patient's genetic data to make a diagnosis that would have taken a human doctor weeks. Now, it appears that IBM's supercomputer Watson has greatly speeded up the diagnosis of a rare form of leukemia in a patient, and in doing so, may have saved her life. Doctors initially diagnosed her with acute myeloid leukemia, a type of blood cancer. By cross-referencing the patient's genetic data with its own database, Watson detected over a thousand genetic mutations in her DNA.

Doctors In Japan Use Artificial Intelligence To Diagnose Leukemia


In what could be described as a world's first, doctors in Japan relied on artificial intelligence to help diagnose a woman who was suffering from a rare form of leukemia. The patient was initially treated for acute myeloid leukemia, but her recovery from post-remission therapy was slow, which is when doctors decided that the initial diagnosis could have been wrong. This is when they turned to IBM's Watson to help them with their case. As the computer has tens of millions of papers on oncology and data on leukemia made available by research institutes, it was able to cross-check the data of the patient against that of what was stored on its servers, which led Watson being able to provide analysis that led to the doctors to conclude that the patient was suffering from a rare form of leukemia.