Life Sciences

A team of researchers developed MNet, an automatic diagnosis system for neurological diseases using magnetoencephalography, demonstrating the possibility of making automatic neurological disease diagnoses.

A noninvasive neural interface that can be used as a wearable device. This neural interface will be capable of both recording and stimulating the brain's dynamic activity with high temporal and spatial resolution.

Drawing inspiration from biology and the toy shelf, researchers have developed a swimming robot with a light-controlled cellular engine that can perform highly-targeted drug delivery.

Researchers have found a way to teach a computer to precisely detect one of the hallmarks of Alzheimer's disease in human brain tissue, delivering a proof of concept for a machine-learning approach to distinguishing critical markers of the disease.

In the first large-scale analysis of cancer gene fusions, which result from the merging of two previously separate genes, researchers at the Wellcome Sanger Institute, EMBL-EBI, Open Targets, GSK and their collaborators have used CRISPR to uncover which gene fusions are critical for the growth of cancer cells. The team also identified a new gene fusion that presents a novel drug target for multiple cancers, including brain and ovarian cancers.

Successfully applying CRISPR gene editing technology to molluscs for the first time, researchers have now made snails with mutations in a gene called Lsdia1, which had previously been suggested - but not conclusively proven - to be involved in snail shell coiling; snails without a functional copy of Lsdia1 produce offspring with shells that coil to the left, showing that this single gene is responsible for rightwardcoiling.

The artificial wearable kidney would reduce the need for hospital visits and decrease health care costs because dialysis could take place during a patient's regular routine.

How can high school students learn about a technology as complex and abstract as CRISPR? It's simple: just add water.

Machine learning is overtaking humans in predicting death or heart attack. Doctors use risk scores to make treatment decisions. But these scores are based on just a handful of variables and often have modest accuracy in individual patients. Through repetition and adjustment, machine learning can exploit large amounts of data and identify complex patterns that may not be evident to humans.

The trial focuses on a technique called vagus nerve stimulation, which involves the implantation of a device — similar to a pacemaker — placed under the skin in the chest cavity, with the combination of rehabilitation therapy sessions over the course of six weeks.