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Spaceflight activates ‘dark genome’ in human cells, researcher says

Spaceflight makes certain human stem cells age faster, a new study has found, furthering scientists’ understanding of the potential effects of space exploration on the human body.

Stem cells are found throughout the body, and they can make more of themselves or turn into other specialized cells — including blood, brain or bone cells — for maintenance and repair.

“In space, stem cells decline in function,” said lead study author Catriona Jamieson, director of the Sanford Stem Cell Institute and professor of medicine at the University of California, San Diego School of Medicine. “They actually reduce their ability to renew themselves or regenerate, and that’s an important thing to be able to know for long-term space missions.”

This Crawling Robot Is Made With Living Brain and Muscle Cells

Watching the robot crawl around is amusing, but the study’s main goal is to see if a biohybrid robot can form a sort of long-lasting biological “mind” that directs movement. Neurons are especially sensitive cells that rapidly stop working or even die outside of a carefully controlled environment. Using blob-like amalgamations of different types of neurons to direct muscles, the sponge-bots retained their crawling ability for over two weeks.

Scientists have built biohybrid bots that use electricity or light to control muscle cells. Some mimic swimming, walking, and grabbing motions. Adding neurons could further fine-tune their activity and flexibility and even bestow a sort of memory for repeated tasks.

These biohybrid bots offer a unique way to study motion, movement disorders, and drug development without lab animals. Because their components are often compatible with living bodies, they could be used for diagnostics, drug delivery, and other medical scenarios.

Newly discovered cell machinery breaks down protein aggregates into smaller pieces before ‘taking it to the trash’

A new study from Aarhus University shows that our cells’ ability to clean out old protein clumps, known as aggregates, also includes a—up till now unknown—partnership with an engine that breaks down bigger pieces into smaller before “taking it to the trash.” An important find for future treatments of diseases like Alzheimer’s, Parkinson’s, ALS and Huntington’s, which are all characterized by the accumulation of protein in the brain.

Imagine you’re about to eat a big pizza. In order to not choke on it, you cut it up into slices and eat it bite by bite. And while you’re chomping down on your slices, cells inside your body are busy slicing the built-up protein clumps into pieces that are more manageable for the body’s trash system—otherwise it would clog up and malfunction.

Researchers from the department of Biomedicine at Aarhus University have just released a new study, which for the first time documents exactly how those clumps of unwanted protein get reduced to smaller pieces before being disposed of by the cells’ garbage disposal system—called autophagy. The work is published in the journal Nature Cell Biology.

Rolling soft electronics yields 3D brain probes for precise neuron mapping

To shed new light on the contribution of different brain regions and neural circuits to specific mental functions, neuroscientists and medical researchers rely on advanced imaging techniques and neural probes. These are electronic devices embedding electrodes, components that can measure the electrical impulses produced by neurons, which are known as spikes.

While existing probes have helped to map various networks of neurons and understand their functions, most of them have two-dimensional (2D) layouts. This is because they are made employing conventional semiconductor-based devices and fabrication strategies.

Researchers at Dartmouth College, University of Pittsburgh, Oklahoma State University and other institutes have developed a new approach that could enable the fabrication of soft three-dimensional (3D) neural probes on a large scale. Their proposed method, outlined in a paper published in Nature Electronics, entails the rolling of flat into cylindrical 3D structures.

New Smart Pimple Patch Clears Acne in Just 7 Days

A new microarray acne patch eliminates pimples in just seven days and could pave the way for future medical treatments far beyond skincare. Waking up with a pimple does not have to be stressful. Pimple patches are small, sticker-like bandages that cover a blemish and support healing. A researc

Don’t sweat it: New device detects sweat biomarker at minimal perspiration rate

A team at Penn State has developed a novel wearable sensor capable of continuously monitoring low rates of perspiration for the presence of a lactate — a molecule the body uses to break down sugars for energy. This biomarker can indicate oxygen starvation in the body’s tissues, which is a key performance indicator for athletes as well as a potential sign of serious conditions such as sepsis or organ failure.

In groundbreaking study, researchers publish brain map showing how decisions are made

Neuroscientists from 22 labs joined forces in an unprecedented international partnership to produce a landmark achievement: a neural map that shows activity across the entire brain during decision-making.

The data, gathered from 139 mice, encompass activity from more than 600,000 neurons in 279 areas of the brain — about 95% of the brain in a mouse. This map is the first to provide a complete picture of what happens across the brain as a decision is made.

“They have created the largest dataset anyone has ever imagined at this scale,” said Dr. Paul W. Glimcher, chair of the department of neuroscience and physiology and director of the Neuroscience Institute at New York University’s Grossman School of Medicine, of the researchers.

Brain–computer interface control with artificial intelligence copilots

Motor brain–computer interfaces (BCIs) decode neural signals to help people with paralysis move and communicate. Even with important advances in the past two decades, BCIs face a key obstacle to clinical viability: BCI performance should strongly outweigh costs and risks. To significantly increase the BCI performance, we use shared autonomy, where artificial intelligence (AI) copilots collaborate with BCI users to achieve task goals. We demonstrate this AI-BCI in a non-invasive BCI system decoding electroencephalography signals. We first contribute a hybrid adaptive decoding approach using a convolutional neural network and ReFIT-like Kalman filter, enabling healthy users and a participant with paralysis to control computer cursors and robotic arms via decoded electroencephalography signals. We then design two AI copilots to aid BCI users in a cursor control task and a robotic arm pick-and-place task. We demonstrate AI-BCIs that enable a participant with paralysis to achieve 3.9-times-higher performance in target hit rate during cursor control and control a robotic arm to sequentially move random blocks to random locations, a task they could not do without an AI copilot. As AI copilots improve, BCIs designed with shared autonomy may achieve higher performance.

Published September 2025 Nature Machine Intelligence:

Preprint: 2024 Oct 12:2024.10.09. https://pmc.ncbi.nlm.nih.gov/articles/PMC11482823/

The sleep switch that builds muscle, burns fat, and boosts brainpower

UC Berkeley researchers mapped the brain circuits that control growth hormone during sleep, uncovering a feedback system where sleep fuels hormone release, and the hormone regulates wakefulness. The discovery helps explain links between poor sleep, obesity, diabetes, and cognitive decline, while opening new paths for treating sleep and metabolic disorders.

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