A troubled teenager is hospitalized with suicidal thoughts. The patient is diagnosed, medicated, and counseled by a team of experts. The teen is sent home a few days later, and the following week the parent finds the child's bedsheets fashioned into a noose.
A new study from the Keck School of Medicine of USC finds that, for patients with early kidney cancer, robotic partial nephrectomy decreases complications, mortality and other important patient outcomes as compared with open or laparoscopic techniques.
On 22 July is World Brain Day. It was established by the World Federation of Neurology to raise awareness of brain health and neurological disorders. This year's World Brain Day is dedicated to a topic that concerns us all with its topicality and omnipresence: air pollution. This poses a considerable health risk to our brain.
Two engineers with the University of Houston want to determine whether the use of tiny amounts of antibiotics embedded in corn-based nanoparticles could allow the use of lower dosages and avoid wiping out the microbiome - the collection of both healthy and disease-causing bacteria found in the intestines - and the resulting genetic mutations that lead to antibiotic resistance.
A team led by the University of California San Diego has developed a chip that can detect a type of genetic mutation known as a single nucleotide polymorphism (SNP) and send the results in real time to a smartphone, computer, or other electronic device. The chip is at least 1,000 times more sensitive at detecting an SNP than current technology.
Dmitry Pashchenko, Candidate of Technical Sciences, Assistant Professor of the Industrial Heat-and-Power Engineering Department is the head of the project. From the computer engineering and computational fluid dynamics point of view, the heart is a membrane pump, the vessels are flexible conduits, and the blood is an incompressible non-Newtonian fluid.
Immobility in old age can lead to lower independence and quality of life and increased risk for falls and chronic disease. In the Lifestyle Interventions and Independence for Elders (LIFE) study, a large multicenter clinical trial, researchers found that a regular program of structured physical activity performed in the clinical setting could reduce mobility loss in older adults.
Could the diagnosis and treatment of mental health disorders one day be aided through the help of machine learning? New research from the University of Alberta is bringing us closer to that future through a study published in Molecular Psychiatry.