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    Researchers report that artificial intelligence can identify signs of aging in blood stem cells by analyzing images of cell nuclei alone, without other biological markers. The finding suggests nuclear appearance carries measurable information about cellular aging. If validated, the approach could offer a simpler way to study blood stem cell aging and age-related declines in the immune and blood systems.

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    Theoretical physics sheds light on tumour DNA mechanisms▼Theoretical physics helps unveil the molecular mechanisms of extra-chromosomal DNA in tumours✉newsSciencePhysics56 min ago

    Researchers, including the Italian National Institute for Nuclear Physics, report that theoretical physics methods have helped reveal the molecular mechanisms of extra-chromosomal DNA in tumours. These DNA fragments, found outside normal chromosomes in cancer cells, are linked to tumour evolution and drug resistance. The work shows physics-based modelling can contribute to cancer biology, drawing attention across the physics and medical research communities.

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    New Cold-Operating Microscope Reveals Antarctic Fish Cells●Researchers engineered a novel microscope capable of operating near 0 degrees Celsius, enabling the first-ever high-resoMmastodonScienceBiology855 min ago

    Researchers have engineered a microscope that can operate at temperatures near 0 degrees Celsius, allowing the first high-resolution observations of living cells in Antarctic fish. The work aims to uncover how these fish survive in extreme cold, a question that has long challenged biologists studying life at sub-zero temperatures.

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    Study maps human meningeal development with spatial multiomics●Spatially resolved multiomics of human meningeal development reveal lineage and disease dynamics✉newsScienceBiology55 min ago

    Researchers have published a spatially resolved multiomics study of human meningeal development, charting how cell lineages form in the meninges, the membranes surrounding the brain and spinal cord. By linking spatial gene-expression data across developmental stages, the work also illuminates disease dynamics, offering a reference for understanding neurological disorders tied to meningeal biology. Scientists following developmental and single-cell research are highlighting the study's combined lineage and disease perspective.