Sales of prescription psychiatric drugs such as Xanax and diazepam via darknet online drug markets have increased in the UK at an alarming rate, according to new research by the University of Kent and King's College London. The findings validate concerns that non-medical prescription drug use (NMPDU) is becoming increasingly common in the UK and that policy makers need to act to address this issue.
A pilot program using several clinical decision support tools in the outpatient setting to treat and educate stable ischemic heart disease patients has shown success in improving angina in these patients. Findings from the Florida Cardiovascular Quality Network study were presented at the American College of Cardiology's Cardiovascular Summit in Orlando.
Researchers have developed a new AI-driven platform that can analyse how pathogens infect our cells with the precision of a trained biologist. The platform, HRMAn ('Herman'), which stands for Host Response to Microbe Analysis, is open-source, easy-to-use and can be tailored for different pathogens including Salmonella enterica.
Researchers at Rensselaer Polytechnic Institute who developed a blood test to help diagnose autism spectrum disorder have now successfully applied their distinctive big data-based approach to evaluating possible treatments. The findings, recently published in Frontiers in Cellular Neuroscience, have the potential to accelerate the development of successful medical interventions.
When a person takes a puff on a cigarette, nicotine floods into the brain, latching onto receptors on the surface of neurons and producing feelings of happiness. But nicotine does not simply stay on the surface of cells - the drug actually permeates into neural cells and alters them from the inside out. Now, a team of scientists has developed a protein sensor that glows in the presence of nicotine, allowing the researchers to
One day we may be able to ingest tiny robots that deliver drugs directly to diseased tissue, thanks to research being carried out at EPFL and ETH Zurich. The group of scientists - led by Selman Sakar at EPFL and Bradley Nelson at ETH Zurich - drew inspiration from bacteria to design smart, biocompatible microrobots that are highly flexible.
A research team led by investigators from the National Institutes of Health and Global Good has developed a computer algorithm that can analyze digital images of a woman's cervix and accurately identify precancerous changes that require medical attention. This artificial intelligence (AI) approach, called automated visual evaluation, has the potential to revolutionize cervical cancer screening, particularly in low-resource settings.