Basically there are three meteorites in our solar system that may pass by earth but most likely far away from the earth. Even though this news site says it may hit earth I am not quite certain it will.
Asteroid 2025 OW, the size of a skyscraper, is tearing through space next week—and it’s coming perilously close to Earth. NASA says no impact risk this time, but astronomers are sounding the alarm: these cosmic flybys are more frequent and more dangerous than you think. See why we dodged disaster and what happens if luck runs out.
#asteroid #earth #wion.
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Artificial Intelligence (AI) is usually built with silicon chips and code. But scientists are now exploring something very different. In 2025, they are growing brain organoids, which are small, living structures made from human stem cells. These organoids act like simple versions of the human brain. They form real neural connections and send electrical signals. They even show signs of learning and memory.
By linking organoids with AI systems, researchers are beginning to explore new computational approaches. Recent studies have shown that organoids possess the ability to recognize speech, detect patterns, and respond to input. Living brain tissue may help create AI models that learn and adapt faster than traditional machines. Early results indicate that organoid-based systems could offer a more flexible and energy-efficient form of intelligence.
Brain Organoids and the Emergence of Organoid Intelligence.
Using mathematical analysis of patterns of human and animal cell behavior, scientists say they have developed a computer program that mimics the behavior of such cells in any part of the body. Led by investigators at Indiana University, Johns Hopkins Medicine, the University of Maryland School of Medicine and Oregon Health & Science University, the new work was designed to advance ways of testing and predicting biological processes, drug responses and other cell dynamics before undertaking more costly experiments with live cells.
With further work on the program, the researchers say it could eventually serve as a “digital twin” for testing any drug’s effect on cancer or other conditions, gene environment interactions during brain development, or any number of dynamic cellular molecular processes in people where such studies are not possible.
Funded primarily by the Jayne Koskinas Ted Giovanis Foundation and the National Institutes of Health, and leveraging prior knowledge and data funded by the Lustgarten Foundation and National Foundation for Cancer Research, the new study and examples of cell simulations are described online July 25 in the journal Cell.
We present EpInflammAge, an explainable deep learning tool that integrates epigenetic and inflammatory markers to create a highly accurate, disease-sensitive biological age predictor. This novel approach bridges two key hallmarks of aging—epigenetic alterations and immunosenescence. First, epigenetic and inflammatory data from the same participants was used for AI models predicting levels of 24 cytokines from blood DNA methylation. Second, open-source epigenetic data (25 thousand samples) was used for generating synthetic inflammatory biomarkers and training an age estimation model. Using state-of-the-art deep neural networks optimized for tabular data analysis, EpInflammAge achieves competitive performance metrics against 34 epigenetic clock models, including an overall mean absolute error of 7 years and a Pearson correlation coefficient of 0.85 in healthy controls, while demonstrating robust sensitivity across multiple disease categories. Explainable AI revealed the contribution of each feature to the age prediction. The sensitivity to multiple diseases due to combining inflammatory and epigenetic profiles is promising for both research and clinical applications. EpInflammAge is released as an easy-to-use web tool that generates the age estimates and levels of inflammatory parameters for methylation data, with the detailed report on the contribution of input variables to the model output for each sample.
Researchers at the University of Colorado Anschutz Medical Campus, Montefiore Einstein Comprehensive Cancer Center (MECCC), and Utrecht University have found the first direct evidence that common respiratory infections, including COVID-19 and influenza, can awaken dormant breast cancer cells that have spread to the lungs, setting the stage for new metastatic tumors. The findings published today in Nature, obtained in mice, were supported by research showing increases in death and in metastatic lung disease among cancer survivors infected with SARS-CoV-2, the virus that causes COVID-19.
Half a billion years ago, nature evolved a remarkable trick: generating vibrant, shimmering colors via intricate, microscopic structures in feathers, wings and shells that reflect light in precise ways. Now, researchers from Trinity have taken a major step forward in harnessing it for advanced materials science.
A team led by Professor Colm Delaney from Trinity’s School of Chemistry and AMBER, the Research Ireland Center for Advanced Materials and BioEngineering Research, has developed a pioneering method, inspired by nature, to create and program structural colors using a cutting-edge microfabrication technique.
The work could have major implications for environmental sensing, biomedical diagnostics, and photonic materials. The research is published in the journal Advanced Materials.
Scientists at Columbia Engineering have developed an injectable hydrogel made from yogurt-derived extracellular vesicles (EVs) that could revolutionize regenerative medicine. These EVs serve both as healing agents and as structural components, eliminating the need for added chemicals. The innovation leverages everyday dairy products like yogurt to create a biocompatible material that mimics natural tissue and enhances healing.