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A heterogeneous graph neural network for candidate gene prediction in endometriosis.

Precision medicine applications depend on elucidating the underlying molecular mechanisms of disease. However, many disorders, such as endometriosis, remain poorly characterised genetically due to data scarcity, positive-unlabelled (PU) imbalance, and …

Published: March 23, 2026, midnight
Vascular graph network for ovarian lesion classification using optical-resolution photoacoustic microscopy.

Diagnosing ovarian lesions is challenging because of their heterogeneous clinical presentations. Some benign ovarian conditions, such as endometriosis, can have features that mimic cancer. We use optical-resolution photoacoustic microscopy (OR-PAM) …

Published: Dec. 30, 2025, midnight
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