Mayo Clinic research identified a powerful new way to improve the prediction of a patient’s long-term cardiovascular disease risk by enhancing a routinely performed imaging test with artificial intelligence (AI). Heart disease develops over time and remains the leading cause of death worldwide, so identifying risk early is critical to preventing heart attack, stroke and other serious outcomes. … Read more
In a new study published in The Lancet Digital Health, scientists at the USC Mark and Mary Stevens Neuroimaging and Informatics Institute (Stevens INI) have discovered that the brains of people who experience severe physical impairment after a stroke may reorganize themselves in unexpected ways, showing signs of “younger” brain structure in undamaged regions as they adapt to injury. … Read more
No matter the size or severity, wounds on human skin are difficult to monitor while they heal. Biopsies disrupt the wound site and are too invasive for routine, repeated monitoring, and most medical imaging devices that could do the job are large, expensive and booked up with more pressing diagnostics. Clinicians typically resort to visual … Read more
In organelle imaging, segmentation aims to accurately delineate pixels or voxels corresponding to target organelles from background, noise, and other cellular structures in microscopy images, thereby generating masks suitable for quantitative analysis. Robust segmentation is foundational to downstream quantification, including morphological characterization, spatial distribution analysis, temporal trajectory tracking, and the detection of key biological events. … Read more
Acute myeloid leukemia, or AML, is a rare and aggressive cancer that can affect people of all ages. Kiran Vanaja, an assistant research professor in bioengineering at Northeastern University, says that AML also has a high recurrence rate and no one-size-fits-all treatment option. Because AML impacts both blood and bone marrow, oncologists need samples of … Read more
New research warns that popular deep learning systems trained for cancer pathology may be relying on hidden shortcuts rather than genuine biological signals. Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, promising faster diagnoses, and cheaper testing. But new research from the University of Warwick, published in Nature Biomedical … Read more
Bats, critical reservoirs of viruses with significant cross-species spillover risks, have long been understudied in the Indochina Peninsula. A study led by researchers from Beijing University of Chemical Technology, the Academy of Military Medical Sciences, and their partners has unveiled the region’s bat virome diversity, offering key insights into the origins of porcine epidemic diarrhea … Read more
Longchamps, L., Panneton, B., Simard, M. J. & Leroux, G. D. An imagery-based weed cover threshold established using expert knowledge. Weed Sci. 62, 177–185 (2014). Google Scholar Gharde, Y., Singh, P., Dubey, R. & Gupta, P. Assessment of yield and economic losses in agriculture due to weeds in India. Crop Prot. 107, 12–18 (2018). Google … Read more
A multi-institutional study led by the University of California, Davis, finds that living in urban areas with a higher percentage of visible trees is associated with a 4% decrease in cardiovascular disease. By comparison, living in urban areas with a higher percentage of grass was associated with a 6% increase in cardiovascular disease. Likewise, a … Read more
TOPLINE: Prenatal exposure to triptans, alone or with other migraine medications, was not associated with a significantly increased risk for neurodevelopmental disorders (NDDs) in children born to mothers with a history of migraine in a new study. METHODOLOGY: Researchers conducted a registry-based cohort study in Norway, using data from multiple national health registries between 2008 … Read more