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Clinical Practice


Scientists from the University of Pittsburgh School of Medicine have developed a set of guidelines to combat fatigue in emergency medical services (EMS) personnel in order to reduce medical errors and risk of injury.

Researchers at the NIH National Institute of Biomedical Imaging and Bioengineering (NIBIB) in Bethesda, Maryland, have developed a biochemical formula using mineralized compounds capable of regulating the blood sugar of type 2 diabetes for multiple days in mice. Findings are published in Nature Communications.

Researchers led by Minoru Hashimoto, a professor of textile science and technology at Shinshu University in Japan, have developed a wearable robot capable of supporting the hip joint while a patient is walking. The prototype design, which is described as a wearable actuator, is described in an article published in Smart Materials and Structures.

Researchers from RMIT University in Melbourne, Australia, have completed the first human trials using a gas-sensing swallowable capsule. The team made two separate discoveries that could improve research into gastrointestinal disorders. Findings are published in Nature Electronics.

Researchers at North Carolina State University have developed an algorithm for cancer patients receiving radiotherapy that could reduce side effects while maintaining efficacy. Findings were published in Physics in Medicine & Biology.


Recent Headlines

Engineers develop tag capable of measuring vital signs using radio waves

Engineers from Cornell University have developed a microchip “tag” capable of collecting vital signs form a distance using radio frequency signals. The method is outlined in a study published in Nature Electronics.

Researchers ID protein key in creating an artificial ovary

Belgian researchers have identified a protein formulation that mimics the structure and rigidity of the natural lining in a women’s ovaries, a breakthrough for women with infertility or cancer patients who had radiation or chemotherapy treatments. Findings are published in the Journal of Assisted Reproduction and Genetics.

Researchers use 3D printing to develop personalized artificial organs

Researchers from the University of Minnesota used 3D printing to build lifelike artificial organ models that mimic the look, structure, mechanical properties and feel of human organs. Findings were published in Advanced Materials Technologies.

Elderly patients increase gray matter after playing Super Mario

Elderly patients who played 3D-platform games such as Nintendo's Super Mario 64 saw improvements in short-term memory and an increase in gray matter in the brain, according to a study published in PLOS ONE.

Video game improves balance in children with autism

A video game that promotes balance by instructing users to hold poses could help children with autism spectrum disorder (ASD), according to a study published in the Journal of Autism and Developmental Disorders.

Machine learning could improve clinical trials of stroke treatments

The incorporation of machine learning in clinical trials could improve research of effective drug treatments in the brain. It could also provide information on drug side-effects previously missed by conventional statistical tests, according to a study published in Brain.

Online platform improved mental health in mood, anxiety disorder patients

Accessing an online cognitive behavioral therapy (CCBT) program could improve the quality of life of patients with mood and anxiety disorders, according to a study published in JAMA Psychiatry.

Lupus patients endorse assessment tool as valuable to clinical care

Researchers at the Hospital for Special Surgery (HSS) have found patients with lupus endorse the Patient Reported Outcomes Measurement Information System (PROMIS) as relevant and useful in improving clinical care.

Harvard researchers develop predictive model for cirrhosis outcomes

Researchers from Harvard have developed a predictive model, called MELD-Plus, capable of identifying patients at high-risk for developing negative outcomes following a hospital admission for cirrhosis. Findings were published in PLOS One.

Machine learning can predict individuals at risk of suicide

Analyzing brain patterns with machine learning could predict people at risk of suicide, according to a study published in Nature Human Behavior.