All news from Anaesthesiology

Better Way To Identify Telltale Markers For Breast Cancer tumors

Scientists have developed a better way to identify markers for breast cancer tumors, a breakthrough that could lead to better treatment for millions of women. They used machine learning to rapidly sort images of tumors to identify estrogen receptors, a key to determining prognosis and treatment. The technique offers a new pathway for breast cancer treatment that promises faster results for less cost for more people worldwide.

A research team led by USC scientists has developed a new way to identify molecular markers of breast cancer tumors, a potentially life-saving breakthrough that could lead to better treatment for millions of women. The study was published in the Nature Partner Journals Breast Cancer.

Measuring the Activation of Receptors SpeedsDrug Devlopment, Findings

Researchers have developed a method that makes it possible to measure the activation of receptors in a very short time. This might speed up the development of new drugs.Hormones and other neurotransmitters, but also drugs, act upon receptors. "Their active substances bind to the receptors and modify the three-dimensional receptor arrangement regulating the downstream signal pathways," says Hannes Schihada.

Neural Dynamics Predict The Words By Speech

The speed at which someone speaks influences the way we hear upcoming words. But, until recently, little was known about the neural mechanisms behind this phenomenon. A recent study reveals that our brainwaves synchronize to the speech rate, thereby influencing how we hear and perceive words.

Have you ever found yourself finishing someone else's sentences, even though you don't really know them that well? Fortunately, the ability to predict what someone is going to say next isn't the preserve of turtledoves or those in long-term relationships.

Our brain processes all kinds of information to estimate what's going to come next, and the speed at which the speaker is talking, or speech rate, plays an important role. This study was published in the journal Current Biology, delved deeper to find out what happens on a neural level. 

Association Between Gestational Diabetes And Postpartum Depression Symptoms

According to a study, mothers diagnosed with gestational diabetes mellitus (GDM) have an elevated risk of developing postpartum depression symptoms. Gestational diabetes mellitus refers to impaired glucose metabolism during pregnancy.

Blood Glucose Levels

Often, mothers with GDM have too high blood glucose levels, and this increases the risk of various adverse effects on the fetus. Moreover, GDM increases the mother's risk of developing type 2 diabetes later in life.

Postpartum depression symptoms are experienced by 10–15% of mothers after childbirth. The newly published study used the Edinburgh Postnatal Depression Scale to assess depression symptoms during the third trimester of pregnancy and eight weeks after delivery.