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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

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.

White House health program selects Fitbit as wearable device in data collection

The All of Us Research Program, established by the White House in 2015, has selected Fitbit as the wearable that will be used to collect data that will be used in subsequent research on preventing diseases based on individual characteristics.  

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.

Paraplegics use virtual reality to reduce phantom pain

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.

AI monitors, determines age of preterm infant brain

Researchers from the University of Helsinki and the Helsinki University Hospital have developed artificial intelligence (AI) software capable of measuring EEG signals in preterm infants to estimate the brain's functional maturity, according to a study published in Scientific Reports.

AI endoscopic system IDs colorectal polyps

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.

Smart nanoparticles regulate body temperature, treat cancer

Scientist from the University of Surrey in the U.K. and China's Dalian University of Technology have developed smart nanoparticles capable of killing cancer cells and self-regulating heat to protect healthy tissue, according to a study published in Nanoscale.

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