Key Highlights
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A new deep learning model can automatically identify and classify different types of acute leukemia cells from microscope images of bone marrow, achieving high accuracy even when tested on images from different hospital labs. This technology could help pathologists diagnose leukemia faster and more consistently, especially in cases with subtle or rare cell features that are hard for the human eye to distinguish.
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A study of over 1,400 patients with systemic sclerosis, a disease that can cause lung scarring, found that the use of immunosuppressive drugs has increased significantly over time, and this change in treatment is linked to a decrease in the rate of lung disease progression. This suggests that earlier and more aggressive treatment with available therapies may help slow down lung damage in these patients.
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For adolescents with chronic pain, the study found that it’s not necessarily the fear and worry about pain (catastrophizing) that leads to more painkiller use, but rather how much the pain interferes with daily activities. This means that treatments focusing on helping teens function better in their daily lives might be more effective at reducing reliance on medication than those focusing only on changing their thoughts about pain.
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