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Clinical Practice

 

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.

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.

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

Scientists at École Polytechnique Fédérale de Lausanne, Switzerland have demonstrated that phantom body pain in paraplegic patients could be reduced by creating a bodily illusion using virtual reality (VR), according to a study published Neurology.

Researchers have developed an endoscopic system, powered by artificial intelligence (AI), capable of identifying colorectal adenomas during a colonoscopy. Findings are set to be presented at the 25th UEG Week in Barcelona.

 

Recent Headlines

3D device gives clinicians a peek at how cancer spreads

Researchers at the University of Michigan Comprehensive Cancer Center and Michigan Engineering have developed a tiny device capable of providing clinicians with a comprehensive view into how cancer spreads.

Researchers improve blood test to detect early pancreatic cancer

A recent study, published in Proceedings of the National Academy of Science, outlines an improved blood test capable of detecting pancreatic cancer earlier than current methods.

Diagnostic tool IDs Parkinson's in earliest stages

Researchers from RMIT University have developed a diagnostic software tool capable of identifying patients with early Parkinson’s disease—before physical symptoms appear. The tool aims to provide patients and providers with the ability to treat Parkinson’s more effectively by addressing the disease in its earliest state.

Camera tracks endoscope position within the body

Scientists from the University of Edinburgh and Heriot-Watt University in Scotland have developed a camera capable of seeing through the human body. The tool detects light from inside the body to locate and track surgical instruments.

Protein discovery could treat obesity, diabetes

Researchers, led by Suresh Alahari, PhD, Fred Brazda Professor of Biochemistry and Molecular Biology at LSU Health New Orleans School of Medicine, have brought the fight against obesity and diabetes to the cellular level with a study outlining the potential of the Nischarin protein.

Robot evaluates brain cells faster, more accurately

Researchers, led by Simon Schultz and Luca Annecchino at Imperial College London, have developed a new method of whole-cell recording (WCR) to record electrical currents in the brain.

Brain-computer interface improves motor function in stroke patients

Researchers from the University of Adelaide have developed a brain-computer interface (BCI) capable of improving motor function in stroke patients. Findings were published in Royal Society Open Science.

Novartis launches study using smartphone app on MS

Novartis, producers of innovative healthcare solutions, has announced the launch of its elevateMS study. The study aims to utilize a mobile application for people with multiple sclerosis (MS) to collect sensor-based data to improve research.

3D AR improved facial reconstructive results

Plastic surgery researchers have utilized augmented reality (AR) to create 3D simulations in facial reconstructive surgery. The study, published in the Plastic and Reconstructive Surgery-Global Open, examined the benefits of using the AR system during plastic surgery.

Brain-computer interface, virtual avatar promote movement in brain

Researchers from the University of Houston have completed a study using a brain-computer interface paired with a virtual avatar to control gait to assist patients recovering the ability to walk after a stroke and other impairments. The study, published in Scientific Reports, aimed to further development of brain-computer interfaces.

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