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Researchers at the Barrow Neurological Institute have conducted a study revealing that residing in areas with average air pollution levels is associated with a 56% increased risk of Parkinson’s disease when compared to those living in regions with the lowest level of air pollution.

The study, which was recently published in Neurologythe medical journal of the American Academy of Neurology was conducted to identify national, geographic patterns of Parkinson’s disease and test for nationwide and region-specific associations with fine particulate matter.

“Previous studies have shown fine particulate matter to cause inflammation in the brain, a known mechanism by which Parkinson’s disease could develop,” says Brittany Krzyzanowski, PhD, a researcher at Barrow Neurological Institute, who led the study. “Using state-of-the-art geospatial analytical techniques, we were, for the first time, able to confirm a strong nationwide association between incident Parkinson’s disease and fine particulate matter in the U.S.”

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In the future, it could facilitate an even greater fusion between retinal implants and the human body.

A multinational group lead by Francesca Santoro, a researcher at Jülich, has created an intelligent biochip that effectively mimics the human retina, opening up new possibilities in bioelectronics.

The retina is a layer of neural tissue located at the back of the eye that plays a crucial role in the visual process. This key part of the eye is in charge of translating light into electrical signals that are transmitted to the brain, enabling us to see and understand images. It is this process that the new biochip recreates.

They look like storm clouds that could fit on the head of a pin: Organoids are three-dimensional cell cultures that play a key role in medical and clinical research. This is thanks to their ability to replicate tissue structures and organ functions in the petri dish. Scientists can use organoids to understand how diseases occur, how organs develop, and how drugs work.

Single-cell technologies allow researchers to drill down to the molecular level of the cells. With spatial transcriptomics, they can observe which genes in the organoids are active and where over time.

The miniature organs are usually derived from . These are cells that haven’t differentiated at all, or only minimally. They can become any kind of cell, such as heart or kidney cells, , or neurons. To make stem cells differentiate, scientists “feed” them with growth factors and embed them in a nutrient solution.

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Engineered vesicular stomatitis virus (VSV) pseudotyping offers an essential method for exploring virus–cell interactions, particularly for viruses that require high biosafety levels. Although this approach has been employed effectively, the current methodologies for virus visualization and labeling can interfere with infectivity and lead to misinterpretation of results. In this study, we introduce an innovative approach combining genetic code expansion (GCE) and click chemistry with pseudotyped VSV to produce highly fluorescent and infectious pseudoviruses (clickVSVs). These clickVSVs enable robust and precise virus–cell interaction studies without compromising the biological function of the viral surface proteins. We evaluated this approach by generating VSVs bearing a unique chemical handle for click labeling and assessing the infectivity in relevant cell lines.

These risks may be amplified with longer-lasting treatments, as Dr. Shafipour cautioned:

“Higher levels of GLP-1 are associated with more gastrointestinal side effects, including nausea, acid reflux, constipation, and bloating, which in some individuals, could be a cause for discontinuation of the drug.”

However, she added: “If this is not a side effect due to this novel technology, this could be a great advantage over the current GLP-1 receptor agonists.”

Epigenetics, the chemical mechanisms that controls the activity of genes, allows our cells, tissues and organs to adapt to the changing circumstances of the environment around us. This advantage can become a drawback, though, as this epigenetic regulation can be more easily altered by toxins than the more stable genetic sequence of the DNA.

An article recently published at Science with the collaboration of the groups of Dr. Manel Esteller, Director of the Josep Carreras Leukaemia Research Institute (IJC-CERCA), ICREA Research Professor and Chairman of Genetics at the University of Barcelona, and Dr. Lucas Pontel, Ramon y Cajal Fellow also of the Josep Carreras Institute, demonstrates that the substance called formaldehyde, commonly present in various household and cosmetic products, in polluted air, and widely used in construction, is a powerful modifier of normal epigenetic patterns.

The publication is led by Dr. Christopher J. Chang, of the University of California Berkeley in the United States, whose research group is pioneer in the study of the effects of various chemical products on cell metabolism. The research has focused on investigating the effects of high concentrations of formaldehyde in the body, a substance already been associated with an increased risk of developing cancer (nasopharyngeal tumours and leukaemia), hepatic degeneration due to fatty liver (steatosis) and asthma. Dr. Esteller points out that this is relevant because “formaldehyde enters our body mainly during our breathing and, because it dissolves well in an aqueous medium, it ends up reaching all the cells of our body”.

In recent years, the field of artificial intelligence has witnessed remarkable advancements, with researchers exploring innovative ways to utilize existing technology in groundbreaking applications. One such intriguing concept is the use of WiFi routers as virtual cameras to map a home and detect the presence and locations of individuals, akin to an MRI machine. This revolutionary technology harnesses the power of AI algorithms and WiFi signals to create a unique, non-intrusive way of monitoring human presence within indoor spaces. In this article, we will delve into the workings of this technology, its potential capabilities, and the implications it may have on the future of smart homes and security.

The Foundation of WiFi Imaging: WiFi imaging, also known as radio frequency (RF) sensing, revolves around leveraging the signals emitted by WiFi routers. These signals interact with the surrounding environment, reflecting off objects and people within their range. AI algorithms then process the alterations in these signals to form an image of the indoor space, thus providing a representation of the occupants and their movements. Unlike traditional cameras, WiFi imaging is capable of penetrating walls and obstructions, making it particularly valuable for monitoring people without compromising their privacy.

AI Algorithms in WiFi Imaging: The heart of this technology lies in the powerful AI algorithms that interpret the fluctuations in WiFi signals and translate them into meaningful data. Machine learning techniques, such as neural networks, play a pivotal role in recognizing patterns, identifying individuals, and discerning between static objects and moving entities. As the AI model continuously learns from the WiFi data, it enhances its accuracy and adaptability, making it more proficient in detecting and tracking people over time.

The Nobel Awards Season just ended, with the “Oscars of Science” awarded to some of the world’s brightest minds. The entire science world was watching, and just like with the Oscars, there was an element of suspense, drama, envy, celebration, and happiness. Most of the Nobel Laureates are also phenomenal speakers and communicators with decades of teaching experience, and thousands of people across the world are glued to their monitors to hear their inspiring stories. The Nobel Prizes are awarded in Physics, Chemistry, Physiology or Medicine, Literature, Peace, and Economic Sciences. Unfortunately, there is no Nobel Prize for Computer Science, Mathematics, or Engineering. So, it seems like it… More.


While there is no Nobel Prize for AI, Jumper and Hassabis may be the frontrunners for a Nobel Prize in Chemistry for their discovery of AlphaFold.