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AI atlas reveals hidden whole-body-damage caused by obesity

Obesity affects far more than metabolism and fat storage. It alters immune activity, nerve structure, and tissue organization across multiple organ systems, increasing the risk of diseases including type 2 diabetes, cardiovascular disease, stroke, neuropathy and cancer. Yet despite these systemic effects, researchers have lacked tools capable of studying disease-associated changes across the entire body in intact organisms and at high resolution.

A team led by Prof. Ali Ertürk, Director of the Institute for Biological Intelligence (iBIO) at Helmholtz Munich and Professor at the LMU, has now developed MouseMapper, a suite of foundation-model-based deep-learning algorithms designed to analyze whole-body biological imaging data. The framework automatically segments 31 organs and tissue types while quantitatively mapping nerves and immune cells throughout the body, enabling comprehensive multi-system analysis in intact mice.

“MouseMapper is built on a foundation model, which means it generalizes far beyond the data it was originally trained on,” says Ying Chen, co-first author of the study published in Nature.

Scientists predict winter weather months ahead using new method

Scientists have developed a new statistical model that predicts winter weather up to six months in advance by forecasting the behavior of the stratospheric polar vortex. [ https://www.labroots.com/trending/earth-and-the-environment/…g-method-2](https://www.labroots.com/trending/earth-and-the-environment/…g-method-2)

Can weather forecasts speed up predictions to help better prepare for inclement weather? This is what a recent study published in Journal of Geophysical Research Atmospheres hopes to address as an international team of scientists from Florida State University and China investigated a new method for providing better predictions of winter weather forecasts. This study has the potential to help sci better understand winter weather patterns and provide more in-depth and accurate predictions, enabling communities to better prepare for worst case scenarios.

This study is a secondary study in a series for this team, who published a first study also in the Journal of Geophysical Research Atmospheres focusing on the yearly weather patterns of the Northern Hemisphere stratospheric polar vortex (SPV). For this study, the researchers focused on developing a new method for predicting SPV weather patterns months in advance of the winter season.

Using a series of statistical models involving historical atmospheric data, the researchers ascertained to produce a statistical model capable of predicting winter weather patterns months in advance. In the end, the models demonstrated that forecasts could be made up to six months in advance.

How Earth recycles continents deep underground

Scientists have uncovered new evidence that Earth’s continents are continuously reworked deep beneath the surface, offering fresh insight into how continents have evolved over billions of years.

The study focuses on what happens after two continental plates collide to form major mountain ranges such as the Himalayas and the Alps. While geologists have long known that continental collisions build mountains and deform the crust, the new research shows that portions of continental crust can also be dragged deep into Earth during subduction before rising again and mixing with mantle rocks.

Researchers measure giant light-conversion effect in chiral carbon nanotubes

A sheet of twisted carbon nanotubes has revealed a hidden talent scientists suspected for decades but had never managed to measure.

Researchers at Rice University have created large, highly ordered films of chiral carbon nanotubes (CNTs), hollow cylinders of carbon atoms with either a left-or a right-handed twist. Measurements showed the crystalline films can convert the color of light at a rate two to three orders of magnitude greater than conventional materials.

The findings, reported in a study published in ACS Nano, confirm a long-standing theoretical prediction and point toward a future in which ultrathin carbon nanotube films could help power faster optical communications, flexible photonic chips and light-based computing systems that today exist mostly as prototypes.

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