What if there was one easy test that could tell you exactly what you should and shouldn’t eat and how often? Introducing nutrigenomics: the perfect diet to end all diets. Is this the diet of the future? Or is it all just too good to be true? After the completion of the Human Genome Project,…
About one third of all medicine binds to the same type of receptor in the human body. An estimated three percent of the population have receptors of this type that are so genetically different that they are predisposed to altered, ineffective or adverse responses to medicine, a new study shows. Every person has a unique…
Deciding which foods to eat and which to avoid is a challenging decision for many individuals. Every year, more and more research is released about the best foods, supplements, and beverages to consume to achieve optimum health. However, many of these studies seem to conflict with one another, which only adds fuel to the confusion.…
Researchers identify a promising avenue for improving treatments for people with cystic fibrosis. They found that adding molecules called quorum-sensing inhibitors to current drugs not only reduces bacterial production of certain harmful residues but also restores the efficacy of existing treatments, such as Orkambi and Kalydeco, on the cells of cystic fibrosis patients. This breakthrough…
It is widely known that genomics has already begun to influence medicine and that bioinformatics holds the key for developing new medical approaches, but how does medical genomics really work? Researchers now bring to light a clear example of how genomics is changing the way we currently know medicine. It is widely known that genomics…
Researchers are assessing clinical and genetic characteristics of a large patient cohort suffering from chronic musculoskeletal pain and receiving prescription opioids. With this information, the multidisciplinary team will derive a clinical and genetic profile of prescription opioid-use disorder and use this knowledge to develop an “addiction risk score.” Findings from this study will be key…
Cost analysis shows setting blood sugar targets tailored to patient needs can save more than $13,500 over a lifetime compared with uniform national recommendations. A cost analysis shows treatment plans that set individualized blood sugar goals for diabetes patients, tailored to their age and health history, can save $13,546 in health care costs over their…
Predictor of metabolic disease identified by machine learning Researchers from the University of Sydney’s Charles Perkins Centre have identified three specific molecules that accurately indicate insulin resistance, or pre-diabetes — a major predictor of metabolic syndrome, the collection of medical conditions that include abdominal obesity, high blood pressure and high blood sugar levels. The finding,…