The was awarded jointly to John Bardeen, Leon Neil Cooper and John Robert Schrieffer ‘for their jointly developed theory of superconductivity, usually called the BCS-theory’
Raw milk has made headlines recently for widespread samples containing the virus that causes H5N1, or bird flu, with the U.S. Department of Agriculture launching a program in December to track the virus through milk testing. But bird flu is far from the only disease-causing pathogen lurking in raw milk: Unpasteurized milk can contain bacteria such as E. coli and Listeria, for instance.
New Stanford Medicine research has found that another virus affecting both animals and people — Rift Valley fever virus — can remain active in raw milk samples for roughly as long as someone might want to drink it. Rift Valley fever is an acute viral illness spread to people through mosquitoes or the bodily fluids of infected animals. These findings mirror recent Stanford research showing that flu virus can be infectious in refrigerated raw milk for up to five days.
While Rift Valley fever virus mostly impacts sub-Saharan Africa, these findings have important implications for understanding human disease risk from drinking raw milk, said Brian Dawes, MD, PhD. He is an infectious disease fellow and postdoctoral researcher in Stanford Medicine’s LaBeaud Lab and led the research. Desiree LaBeaud, MD, associate dean of global health, was the senior author. Alina De La Mota-Peynado of the USDA was co-lead author.
Mayo Clinic researchers have discovered a new role that a specific protein plays in regulating cell resistance and fighting tumors in certain types of cancer, offering hope for improved cancer therapies and patient outcomes.
The protein, known as NKG7, is found in CD8+ T cells, a type of immune cell that can recognize and kill cancer cells. CD8+ T cell resilience is essential for anti-tumor activity. The protein allows CD8+ T cells to continue killing cancer cells even under stress and can help prevent cancer from growing and spreading.
“We found that patients with invasive bladder cancer who had NKG7-expressing CD8+ T cells within their tumor had superior survival compared to patients without,” says Dan Billadeau, Ph.D., senior author of the study, detailed in Nature Communications. “This discovery holds promise for manipulating CD8+ T cells — for example, CAR-T and tumor-infiltrating lymphocytes (TILs) — to combat cancer.”
A rare genetic disease that ravages some but spares others has baffled researchers — until now.
Researchers found that a genetic variant, HAQ-STING, acts as a shield against COPA Syndrome, a discovery that could lead to life-changing gene therapies. For families long plagued by the disease, the revelation was both an explanation and a beacon of hope.
A breakthrough in understanding COPA syndrome.
Einsteins abandoned theory.
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Dr. Rumi Chunara: “Our system learns to recognize more subtle patterns that distinguish trees from grass, even in challenging urban environments.”
How can artificial intelligence (AI) help improve city planning to account for more green spaces? This is what a recent study published in the ACM Journal on Computing and Sustainable Societies hopes to address as a team of researchers proposed a novel concept using AI with the goal of both monitoring and improving urban green spaces, which are natural public spaces like parks and gardens, and provide a myriad of benefits, including physical and mental health, combating climate change, wildlife habitats, and increased social interaction.
For the study, the researchers developed a method they refer to as “green augmentation”, which uses an AI algorithm to analyze Google Earth satellite images with the goal of improving current AI methods by more accurately identifying green vegetation like grass and trees under various weather and seasonal conditions. For example, current AI methods identify green vegetation with an accuracy and reliability of 63.3 percent and 64 percent, respectively. Using this new method, the researchers successfully identified green vegetation with an accuracy and reliability of 89.4 percent and 90.6 percent, respectively.
“Previous methods relied on simple light wavelength measurements,” said Dr. Rumi Chunara, who is an associate professor of biostatistics at New York University and a co-author on the study. “Our system learns to recognize more subtle patterns that distinguish trees from grass, even in challenging urban environments. This type of data is necessary for urban planners to identify neighborhoods that lack vegetation so they can develop new green spaces that will deliver the most benefits possible. Without accurate mapping, cities cannot address disparities effectively.”
Two researchers share their Hollywood consulting experiences of keeping science straight on the big screen.
