A multi-institutional team of researchers, led by Georgia Tech’s Francesca Storici, has discovered a previously unknown role for RNA. Their insights could lead to improved treatments for diseases like cancer and neurodegenerative disorders while changing our understanding of genetic health and evolution.
Scientists at the National Institutes of Health (NIH) have uncovered a brain circuit in primates that rapidly detects faces. The findings help not only explain how primates sense and recognize faces, but could also have implications for understanding conditions such as autism, where face detection and recognition are often impaired from early childhood.
The newly discovered circuit first engages an evolutionarily ancient part of the brain called the superior colliculus, which can then trigger the eyes and head to turn for a better look. This better view enables different brain areas in the temporal cortex to engage in more complex facial recognition. The study was published in the journal Neuron.
“Quick recognition of faces is a key skill in humans and other primates,” said Richard Krauzlis, Ph.D., of NIH’s National Eye Institute (NEI) and senior author of the study.
Hospitals around the country are conserving critical intravenous fluid supplies to cope with a shortage that may last months. Some hospital administrators say they are changing how they think about IV fluid hydration altogether.
Hurricane Helene, which hit North Carolina in September, wrecked a Baxter International facility that produces 60% of the IV fluids used in the U.S., according to the American Hospital Association.
The company was forced to stop production and is rationing its products. In an update posted Nov. 7, Baxter said its North Cove facility had resumed producing some IV fluids. In an email to KFF Health News, the company wrote that customers will be able to order normal quantities of “certain IV solutions products” by the end of the year, but there is no timeline for when the North Cove facility will be back to prehurricane production levels.
As we move into 2025, mental health continues to be a vital aspect of overall well-being in an increasingly fast-paced and complex world.
- CBT-based exercises that help users manage anxiety, depression, and emotional stress.
- Daily check-ins with an AI chatbot to track moods and thoughts, enabling users to gain insights into their emotional health.
Numbers tell a story. From your credit score to your age, metrics predict a variety of outcomes, whether it’s your likelihood to get a loan or your risk for heart disease. Now, Stanford Medicine researchers have described another telling metric — one that can predict mortality. It’s called sleep age.
Sleep age is a projected age that correlates to one’s health based on their quality of sleep. So for instance, if you analyze the sleep characteristics of dozens of 55-year-olds and average them out, you’ll have an idea of what sleep looks like at that age. For instance, someone who’s 55 and sleeps soundly through the night with good quality REM cycles could, theoretically, might have a sleep age of 45.
Some researchers and public health experts have also expressed concerns that microplastic exposure can lead to babies being born underweight.
Recent studies found that the average liter of store-bought bottled water contains more than 240,000 nanoplastics while the majority of meat and plant-based alternatives contain tiny plastics linked to cancer.
Scientists have cautioned that it will take time to transfer to creating the new material because existing manufacturing equipment was only built for traditional plastic.
Summary: The Human Cell Atlas (HCA) consortium has published over 40 studies revealing groundbreaking insights into human biology through large-scale mapping of cells. These studies cover diverse areas such as brain development, gut inflammation, and COVID-19 lung responses, while also showcasing the power of AI in understanding cellular mechanisms.
By profiling over 100 million cells from 10,000 individuals, HCA is building a “Google Maps” for cell biology to transform diagnostics, drug discovery, and regenerative medicine. The initiative emphasizes diversity, including underrepresented populations, to ensure a globally inclusive understanding of health and disease.
From repairing deadly brain bleeds to tackling tumors with precise chemotherapy, micro/nano-robots (MNRs) are a promising, up-and-coming tool that have the power to substantially advance health care. However, this tool still has difficulty navigating within the human body—a limitation that has prevented it from entering clinical trials.
Mathematical models are crucial to the optimal design and navigation of MNRs, but the current models are inadequate. Now, new, promising research from the University of Saskatchewan (USask) may allow MNRs to overcome the limitations that previously prevented their widespread use.
USask College of Engineering professor Dr. Chris Zhang (Ph. D.) and two Ph.D. students (Lujia Ding, N.N Hu) along with two USask alumni (Dr. Bing Zhang (Ph. D.), Dr. R. Y. Yin (Ph. D.)) are the first team to develop a highly accurate mathematical model that optimizes the design of MNRs which improves their navigation, allowing them to travel efficiently through the bloodstream. Their work was recently published in Nature Communications.
Here’s how our bioacoustic foundation model, Health Acoustic Representations (HeAR), may help improve health outcomes for people across India.
We might like to think of ourselves as autonomous entities but, in reality, we’re more like walking ecosystems, teeming with bacteria, viruses, and other microbes. It turns out that differences in these microbes might be as crucial to evolution and natural variation as genetic mutations are.
This novel perspective was discussed in a recent publication by Seth Bordenstein, director of Penn State’s One Health Microbiome Center, who is a professor of biology and entomology and holds the Dorothy Foehr Huck and J. Lloyd Huck Endowed Chair in Microbiome Sciences.
He, along with 21 colleagues from around the globe, collectively known as the Holobiont Biology Network, propose that understanding the relationships between microbes and their hosts will lead to a more profound understanding of biological variation.
