Medical
3D computer model will aid the personalisation of medicine
Human diseases are network diseases," said Eyleen O'Rourke, an assistant professor of biology and cell biology at the University of Virginia. By that she means that our genes, cells, tissues and organs all interact and affect each other as a highly complex network of entities that, in combination with the environment – defined as our diet, health habits and other factors – determine whether our bodies are affected by disease, and how ...
Compact 1 & 2W converters target medical applications
Providing a 1500VAC input/output isolation at a 250VAC working voltage to facilitate a 1 x MOPP, XP Power has announced the IMM series of 1 and 2W DC/DC converters. The IMM01 1W and the IMM02 2W single and dual output converters are approved to the international medical safety standards ANSI/AMII ES60601-1, CSA 22.2 No 60601-1 and EN/IEC60601-1.
Weight-loss technologies train the brain to resist temptation
Drexel University researchers have developed a computer game and smartphone app to help people control unhealthy eating habits and ultimately lose weight. The game is designed to improve a person's "inhibitory control," the part of the brain that stops you from giving into unhealthy cravings—even when the smell of French fries is practically begging you to step inside a fast food restaurant.
Technology helps ID aggressive early breast cancer
Researchers at the University of Michigan developed a technology that can identify aggressive forms of ductal carcinoma in situ, or stage 0 breast cancer, from non-aggressive varieties. The technique combines imaging and mathematics. It's called biomarker ratio imaging microscopy, or BRIM.
Biotech startup develops antibiotics for drug-resistant superbugs
The numbers of antibiotic-resistant bacteria are increasing globally, threatening human health. An undergraduate entrepreneurship program run by Stanford ChEM-H is helping students design and test drugs to combat the resistant bacteria.
Technique could revolutionise surgical treatment of epilepsy
Scientists at the University of Exeter have developed a pioneering new technique that could revolutionise the surgical treatment of epilepsy. The team of scientists, led by Dr Marc Goodfellow and Professor John Terry, have developed the ground-breaking new method that can identify the specific regions of the brain that trigger seizures in people with epilepsy.
Blood test discriminates between bacterial and viral infections
Researchers at the Stanford University School of Medicine have made an important breakthrough in their ongoing efforts to develop a diagnostic test that can tell health-care providers whether a patient has a bacterial infection and will benefit from antibiotics. The study was published in Science Translational Medicine.
AI may aid Alzheimer's diagnosis
Machine learning is a type of AI that allows computer programs to learn when exposed to new data without being programmed. Now, researchers in the Netherlands have coupled machine learning methods with a special MRI technique that measures the perfusion, or tissue absorption rate, of blood throughout the brain to detect early forms of dementia, such as mild cognitive impairment (MCI), according to a new study published online in the journal Radio...
Method offers 100% detection of esophageal cancer
Recognising the early stages of esophageal cancer is difficult because it can easily be missed. TU Eindhoven has therefore been working with the Catharina Hospital in Eindhoven to develop a method to enable a computer to scan esophagus images for signs of esophageal cancer. With exceptional results: the computer recognises early cancer with almost as much accuracy as top specialists, of which there is only a handful. The results are published in ...
3D VR Colonoscopy allows better colorectal cancer prevention
At UCSF's 3D Imaging Lab, radiologist Judy Yee, MD, pulls up an image that looks more like a birthday party balloon animal than a patient's colon: a vibrant, color-segmented tube, torqued and twisted in on itself. Created from thin slices of a CT scan, the image appears in 3D on the flat screen. It can even morph into video "fly-through" views, enhancing polyps, lesions, and other precancerous anomalies.