Move over, apples - new research from Penn State suggests that eating one avocado a day may help keep "bad cholesterol" at bay. According to the researchers, bad cholesterol can refer to both oxidized low-density lipoprotein (LDL) and small, dense LDL particles. In a randomized, controlled feeding study, the researchers found that eating one avocado a day was associated with lower levels of LDL (specifically small, dense LDL particles) and oxidized LDL in adults with overweight or obesity.

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.

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.

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.

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?

Northwestern Medicine scientists have used patient-derived neurons to develop and test a new strategy to treat Parkinson's disease by mitigating the effects of harmful genetic mutations, as detailed in a study published today (Oct. 16) in Science Translational Medicine.

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.