Rare diseases: Over 300 million patients affected worldwide
Rare diseases represent a global problem. Until now, the lack of data made it difficult to estimate their prevalence. Created and coordinated by Inserm, the Orphanet database, which contains the largest amount of epidemiological data on these diseases taken from the scientific literature, has made it possible to obtain a global estimate.
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Bed time is the best time to take blood pressure medication
People with high blood pressure who take all their anti-hypertensive medication in one go at bedtime have better controlled blood pressure and a significantly lower risk of death or illness caused by heart or blood vessel problems, compared to those who take their medication in the morning, according to new research.
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First entirely digital clinical trial encourages physical activity
As little as a daily ping on your phone can boost physical activity, researchers from the Stanford University School of Medicine and their collaborators report in a new study. The finding comes by way of the first-ever entirely digital, randomized clinical trial, which sought to answer two overarching questions: Is it feasible to successfully run an entirely digital, randomized clinical trial?
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AI could offer warnings about serious side effects of drug-drug interactions
The more medications a patient takes, the greater the likelihood that interactions between those drugs could trigger negative side effects, including long-term organ damage and even death. Now, researchers at Penn State have developed a machine learning system that may be able to warn doctors and patients about possible negative side effects that might occur when drugs are mixed.
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Antibody-based eye drops show promise for treating dry eye disease
Researchers at the University of Illinois at Chicago are the first to identify the presence of a specific type of antibody, called anti-citrullinated protein autoantibodies, or ACPAs, in human tear fluid. They are also the first to demonstrate that patients with dry eye disease experienced reduced signs and symptoms of the condition in response to a new eye drop treatment - made from pooled human antibodies - that targets ACPAs.
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AI and big data predict which research will influence future medical treatments
An artificial intelligence/machine learning model to predict which scientific advances are likely to eventually translate to the clinic has been developed by Ian Hutchins and colleagues in the Office of Portfolio Analysis (OPA), a team led by George Santangelo at the National Institutes of Health (NIH). This work, described in a Meta-Research article published October 10 in the open-access journal PLOS Biology,
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Pharmacists provide patient value in team-based care
With inhaler in hand, Dr. Cheng Yuet went over every detail to make sure the patient understood how the drug would control their COPD symptoms. Dr. Yuet is proving what a difference it makes when pharmacists are integrated into the health care team. As part of an innovative model being used at UNT Health Science Center, Dr. Yuet and three other pharmacists manage the care of patients with chronic diseases such as asthma, diabetes and hypertension.
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