Plenty of fish in the sea? Not enough to feed 10 billion people sustainably.
The Good Food InstitutePlenty of fish in the sea? Not enough to feed 10 billion people sustainably.
Plenty of fish in the sea? Not enough to feed 10 billion people sustainably.
Learn more about the latest advances from Cedars-Sinai investigators.
The national effort to return the Medicaid enrollment process to its pre-pandemic rules starting in April 2023 may have disrupted the care of people receiving treatment for opioid addiction, a new study finds. The data have implications for current Medicaid budget discussions.
A new analysis of a group of all-women extreme divers off the coast of Korea has uncovered genetic differences that could help them survive the intense physiological stresses of free-diving—and could ultimately lead to better treatments for blood pressure disorders.
Highlight:Exome sequencing (ES) is commonly used to diagnose Mendelian disorders, which occur when pathogenic variant(s) in a gene are either inherited from one or both parents or are de novo. Examples of such disorders include cystic fibrosis and sickle cell anemia. However, ES is not the first choice for detecting copy number variants (CNVs), which are typically deletions or duplications of DNA segments.
New findings suggest neurons have much more functional dexterity than scientists previously realized.
Two HSS studies received awards from the American Society of Regional Anesthesia and Pain Medicine. One looked at the prevalence of CBD use in patients scheduled for sports medicine surgery. The other compared the need for opioid medication after robotic, computer-assisted or manual hip replacement.
A new study suggests that medication interruptions among children and young adults taking medicine for chronic conditions happened more often in states that had the biggest drops in Medicaid enrollment during the recent “unwinding” process.
The open-source software toolkit aims to predict whether individuals will develop progressive and chronic diseases years before symptoms appear. It can identify at-risk individuals with an accuracy of 85-99% and explain its outputs in ways that humans can understand.
A specialized model used by researchers is becoming a valuable tool for studying human brain development, diseases and potential treatments, according to a team of scientists at Rutgers University-New Brunswick.