Workers who learn to use AI effectively may gain a significant advantage as workplaces become increasingly AI-focused, according to new research.
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New AI tools could help eye doctors diagnose retinal disease faster
Non-invasive eye scans allow doctors a zoomed-in, three-dimensional look beneath the eye’s surface without causing discomfort or pain to the patient. Used routinely in clinics worldwide, the scans produce detailed views of individual layers of the eye’s interior to help diagnose conditions that threaten vision. But with that level of precision comes a flood of data—hundreds of images per scan that physicians have to review manually, a time-consuming process that is vulnerable to human error.
Now, researchers at Washington University School of Medicine in St. Louis, in collaboration with colleagues at the University of Washington in Seattle and Genentech, Inc., have developed an experimental artificial intelligence (AI) system that can speed the scan review process and help doctors spot subtle signs of eye disease sooner. The technology, called OCTCube-M, includes a family of three AI models that are designed to read and interpret 3D images of the eye’s retina as well as other types of eye scans.
In a new study, the researchers found that, compared with older models, the new AI system more accurately identified eight different retinal diseases, including age-related macular degeneration, a common disease that damages the retina and is the leading cause of blindness in people over 50. It also was more accurate in its predictions of how fast a severe form of this condition, called geographic atrophy, would progress.
Milky Way black hole’s missing wind finally found after a half-century-long search
The hunt is over. After more than 50 years of searching, astrophysicists at Northwestern University have finally discovered evidence of a powerful wind blowing from the Milky Way’s central supermassive black hole, Sagittarius A* (Sgr A•.
According to theoretical physics and a long-accepted understanding of galaxies’ evolution, as black holes consume materials, they should produce wind or jets. Even a small amount of gas falling into a black hole should generate enough energy to push material outwards. Without wind, Sgr A* would be a unique outlier.
But, until now, no one could find it.
Creatine may supercharge immune cells that are key to fighting cancer
Creatine, the organic acid that is popularly taken as a supplement by athletes and bodybuilders, supercharges a critical class of immune cells that activate and prepare the body’s key cancer-fighters, according to new UCLA research.
The study, conducted in mouse models and human cells and published in iScience, builds directly on earlier work from the same lab showing that creatine powers killer T cells in their battle against tumors. Now, the team has discovered that creatine also fuels dendritic cells, specialized immune cells that capture tumor fragments and direct killer T cells to attack.
Most approved cancer immunotherapies work by targeting killer T cells directly, yet only about 20%–40% of patients respond to them. Bolstering the dendritic cells that train and activate T cells could potentially offer a way to bring the benefits of immunotherapy to more patients.
Hidden meltwater found deep in Antarctic coastal waters reveals stronger climate impacts
Freshwater from melting Antarctic glaciers may be influencing the Southern Ocean in ways scientists have largely overlooked. New research, published in Frontiers in Marine Science, has found that glacial meltwater is not confined to the ocean’s surface, as previously assumed, but can also be detected much deeper in coastal waters along the Western Antarctic Peninsula.
The findings suggest that meltwater from glaciers is being transported and stored tens of meters below the surface, where it could alter ocean circulation, affect the movement of heat and nutrients, and influence how the region responds to climate change.
Long-range white-matter pathways enable efficient spontaneous neural activity propagation in the human brain
Efficient brain-wide communication requires neural activity to traverse long anatomical distances rapidly. Here we examine how propagation timing is jointly associated with spatial geometry, functional network organization, and long-range white-matter pathways and their microstructural properties. And we ask whether the same rules govern epileptiform and physiological activity. Using stereo-EEG and diffusion spectrum imaging from 47 epilepsy patients (26 males and 21 females), we quantified inter-regional propagation with two complementary delay estimators: event-based interictal epileptiform discharge (IED) traveling waves and continuous lagged-correlation delays during IED-free periods. We found that IED propagation traversing gray and white matter formed reproducible spatiotemporal motifs that deviated from randomized null models, indicating structured routing rather than random spread. Epileptiform and physiological propagation delays increased over short ranges but saturated at longer distances, indicating that geometry alone cannot account for long-range fast propagation. Beyond geometry, stronger structural connectivity and higher functional connectivity were associated with shorter delays, and intrinsic functional modules facilitated efficient communication: within-network propagation was faster than between-network propagation. Crucially, diffusion-derived quantitative anisotropy (QA) revealed a microstructural mechanism for long-range fast propagation: long-range white-matter tracts showed higher QA, and QA was positively associated with apparent propagation velocity. Together, these results identify convergent, architecture-dependent constraints on propagation timing that generalize across epileptiform and normal activity, providing a principled bridge between macroscale connectome organization and fast intracranial spatiotemporal dynamics.
Significance statement Efficient communication across long anatomical distances is fundamental for the human brain. By integrating stereo-EEG with diffusion spectrum imaging, this study shows that brain-wide information propagation is not determined by distance alone, but is critically supported by long-range white-matter pathways, their microstructural properties, and intrinsic functional network organization. We also find that both pathological epileptiform discharges and physiological spontaneous activity follow shared propagation rules, exhibiting distance saturation, structural facilitation, and preferential within-network transmission. These findings provide a microstructure-grounded account of how the human brain achieves fast, efficient large-scale communication, bridging macroscale connectome architecture with millisecond-scale neural dynamics.
