Increased whale strandings on the east coast of the United States remain a concern for biologists and citizens alike. Why this increase has occurred over a number of years is still being debated.
In a significant development for medical professionals, a new consensus has been developed to enhance the treatment of second-degree burn wounds. This guideline offers a thorough and systematic method for addressing these frequently occurring injuries, advocating for a standardized approach to care.
A new study presents the development of 3D printed electrospun vascular grafts infused with tetramethylpyrazine (TMP), offering a potential solution to reduce thrombosis and restrain aneurysmal dilatation post-surgery. This innovation has potential implications for improving cardiovascular disease treatments.
ETRI researchers have announced the development of traffic signal optimization technology using Artificial Intelligence (AI), which has reduced average travel time for vehicles by more than 15%. This advancement paves the way for smoother urban traffic flow.
A research team at the Korea Electrotechnology Research Institute (KERI) Battery Materials and Process Research Center, in cooperation with a Hanyang University team mentored by Professor Lee Jong-Won and a Kyunghee University team mentored by Professor Park Min-Sik, developed a core technology to ensure the charging/discharging stability and long-life of lithium-ion batteries under fast-charging conditions.
A team of scientists has developed an artificial intelligence (AI)-based transmission model that can predict prison infection rates with high accuracy. Incorporating real-world data from every facility in the NSW prison system, the new findings add weight to current theoretical models.
A new University of Washington study, published May 21 in Developmental Science, is the first to compare the amount of music and speech that children hear in infancy. Results showed that infants hear more spoken language than music, with the gap widening as the babies get older.
Secondary analyses of a phase 3 clinical trial have revealed that breast cancer patients who reported high levels of pain and stress were more likely than their study peers to experience worse invasive disease-free survival (iDFS) and worse overall survival (OS).
Data from a large prospective cohort study reveal that a polygenic risk score has the potential to predict survival outcomes in patients with breast cancer.