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Reliably measuring the polarization state of light is crucial for various technological applications, ranging from optical communication to biomedical imaging. Yet conventional polarimeters are made of bulky components, which makes them difficult to reduce in size and limits their widespread adoption.

Researchers at the Shanghai Institute of Technical Physics (SITP) of the Chinese Academy of Sciences and other institutes recently developed an on-chip full-Stokes polarimeter that could be easier to deploy on a large scale. Their device, presented in a paper in Nature Electronics, is based on optoelectronic eigenvectors, mathematical equations that represent the linear relationship between the incident Stokes vector and a detector’s photocurrent.

“This work was driven by the growing demand for compact, high-performance polarization analysis devices in optoelectronics,” Jing Zhou, corresponding author of the paper, told Phys.org. “Traditional polarimeters, which rely on discrete bulky optical components, present significant challenges to miniaturization and limit their broader applicability. Our main goal is to develop an on-chip solution capable of direct electrical readout to reconstruct full-Stokes polarization states.”

Scientists used AI to estimate the brain age of 739 healthy seniors and found that lifestyle and health conditions impact brain aging.

Researchers at Karolinska Institutet have used an AI tool to estimate the biological age of brains from MRI scans of 70-year-olds. Their analysis revealed that factors harmful to vascular health, such as inflammation and high blood sugar levels, are linked to older-looking brains, while a healthy lifestyle was associated with younger-looking brains. These findings were published today (December 20) in Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association.

Leveraging AI to determine brain age.

Research published in The American Journal of Human Genetics has identified a previously unknown genetic link to autism spectrum disorder (ASD). The study found that variants in the DDX53 gene contribute to ASD, providing new insights into the genetic underpinnings of the condition.

ASD, which affects more males than females, encompasses a group of neurodevelopmental conditions that result in challenges related to communication, social understanding and behavior. While DDX53, located on the X chromosome, is known to play a role in brain development and function, it was not previously definitively associated with autism.

In the study, researchers from The Hospital for Sick Children (SickKids) in Canada and the Istituto Giannina Gaslini in Italy clinically tested 10 individuals with ASD from eight different families and found that variants in the DDX53 gene were maternally inherited and present in these individuals. Notably, the majority were male, highlighting the gene’s potential role in the male predominance observed in ASD.

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“High-Speed Sequential DNA Computing Using a Solid-State DNA Origami Register” ACS Central Science

DNA stores the instructions for life and, along with enzymes and other molecules, computes everything from hair color to risk of developing diseases. Harnessing that prowess and immense storage capacity could lead to DNA-based computers that are faster and smaller than today’s silicon-based versions. As a step toward that goal, researchers report in ACS Central Science a fast, sequential DNA computing method that is also rewritable — just like current computers.

Penn Engineers have modified lipid nanoparticles (LNPs)—the revolutionary technology behind the COVID-19 mRNA vaccines—to not only cross the blood-brain barrier (BBB) but also to target specific types of cells, including neurons. This breakthrough marks a significant step toward potential next-generation treatments for neurological diseases like Alzheimer’s and Parkinson’s.

In a new paper in Nano Letters, the researchers demonstrate how —short strings of —can serve as precise targeting molecules, enabling LNPs to deliver mRNA specifically to the that line the blood vessels of the brain, as well as neurons.

This represents an important advance in delivering mRNA to the cell types that would be key in treating neurodegenerative diseases; any such treatments will need to ensure that mRNA arrives at the correct location. Previous work by the same researchers proved that LNPs can cross the BBB and deliver mRNA to the brain, but did not attempt to control which cells the LNPs targeted.

Investigators from Cedars-Sinai and the University of California, San Francisco (UCSF) have identified a new way to deliver instructions that tell stem cells to grow into specific bodily structures, a critical step in eventually regenerating and repairing tissues and organs.

The scientists engineered cells that form structures called “synthetic organizers.” These organizers provided instructions to the stem cells through called morphogens, which stimulated and enabled the stem cells to grow into specific complex tissues and organ-like assemblies.

The research was conducted with mouse , and the findings were published in Cell.

Monitoring electrical signals in biological systems helps scientists understand how cells communicate, which can aid in the diagnosis and treatment of conditions like arrhythmia and Alzheimer’s.

But devices that record electrical signals in and other liquid environments often use wires to connect each electrode on the device to its respective amplifier. Because only so many wires can be connected to the device, this restricts the number of recording sites, limiting the information that can be collected from cells.

MIT researchers have now developed a biosensing technique that eliminates the need for wires. Instead, tiny, wireless antennas use light to detect minute electrical signals.

Dr Torbjörn Ogéus is a pain specialist with clinical experience in regenerative medicine. He has been treating tendons and osteoarthritis (OA) with growth factors for 15 years. 6 years ago, Ogéus did his first stem cell treatment for OA and recently published one of the first clinical studies in the world on exosomes and OA.

A breakthrough in understanding how a single-cell parasite makes ergosterol (its version of cholesterol) could lead to more effective drugs for human leishmaniasis, a parasitic disease that afflicts about 1 million people and kills about 30,000 people around the world every year.

The findings, reported in Nature Communications, also solve a decades-long scientific puzzle that’s prevented drugmakers from successfully using azole antifungal drugs to treat , or VL.

About 30 years ago, scientists discovered the two species of single-cell parasites that cause VL, Leishmania donovani and Leishmania infantum, made the same lipid sterol, called ergosterol, as fungi proven susceptible to azoles antifungals. These azoles antifungals target a crucial enzyme for sterol biosynthesis, called CYP51.