A team of doctors and researchers at CorNeat, an Israel ophthalmic medical device company, has developed and implanted into a patient a new type of artificial cornea that integrates directly into the eye wall. Members of ...
One of the early indicators of imminent SARS-CoV-2 infection is a sudden and complete loss of smell and taste. Often, these symptoms persist long after infection has been seemingly cleared. How might a virus like this get ...
A team of researchers at the Icahn School of Medicine at Mount Sinai has found evidence that suggests smart watches can detect COVID-19 symptoms before a person has become aware that they are infected. On their website, the ...
NRF2 is just one of thousands of critical proteins in the cell, but it is one that we now know a lot about. Once any molecule achieves a certain level of celebrity status, it tends to acquire a groupie following in the supplement ...
A team of researchers at Boston University has found that applying low-frequency electrical stimulation to the orbitofrontal cortex of obsessive-compulsive behavior patients proved to be effective in reducing such behaviors ...
For many years, neuroscientists worldwide have been trying to understand the neural and cognitive processes underpinning artistic expression. While past findings have identified a number of brain areas that could be associated ...
A team of researchers affiliated with a host of institutions across Japan has found that inhibiting kidney-type glutaminase-dependent glutaminolysis in mice can lead to elimination of senescent cells. In their paper published ...
An unidentified man has survived a near-death experience after injecting himself with a self-made magic mushroom tea. The case, published in the Journal of the Academy of Consultation-Liaison Psychiatry, is reporting that ...
Medicine has two things to offer when viral pandemics hit: vaccines and therapeutics. While it is hard to undervalue the noble goal of rapidly developing and rolling out safe vaccines that effectively reduce disease severity, ...
A new method for analyzing deep-tissue medical images utilizes artificial neural networks to decrease background noise, giving medical practitioners a clearer, sharper image of deep tissues than currently available.
