Key Highlights
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Combining a digital learning test with a blood test for Alzheimer’s protein (p-tau217) can better predict which older adults with normal memory are most likely to decline in the next few years. This two-part approach helps identify those who need early intervention, while sparing others who have a positive blood test but a healthy learning ability from unnecessary worry.
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A new deep learning model, ALSNet, can automatically identify and classify different types of acute leukemia from microscope images of bone marrow, achieving high accuracy even when tested on images from different hospital labs. This tool could help pathologists make faster and more consistent diagnoses, especially for rare or tricky-to-identify leukemia subtypes.
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A study of pregnant women in Gaza during conflict in 2025 found widespread food scarcity, displacement, and exposure to bombing, with most women having anemia and limited access to prenatal care. These extreme conditions were linked to high rates of C-section deliveries and newborns needing intensive care, highlighting the severe impact of conflict on maternal and infant health.
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