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Deep-learning models have shown promise in differentiating between benign and malignant lesions. Previous studies have primarily focused on specific anatomical regions, overlooking tumors occurring throughout the body with highly heterogeneous whole-body backgrounds. Using neurofibromatosis type 1 (NF1) as an example, this study developed highly accurate MRI-based deep-learning models for the early automated screening of malignant peripheral nerve sheath tumors (MPNSTs) against complex whole-body background.

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Background: Biography writing services are increasingly being used with adult palliative care patients, helping them document their stories in a way that provides meaning for themselves, family, and friends. However, the feasibility of applying a biography program to a pediatric palliative care context is less well known.

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