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PARP inhibitors (PARPi) have been shown to improve progression-free survival, particularly in homologous recombination deficient (HRD) ovarian cancers. Identifying patients eligible to PARPi is currently based on next-generation sequencing (NGS), but the persistence of genomic scars in tumors after restoration of HR or epigenetic changes can be a limitation. Functional assays could thus be used to improve this profiling and faithfully identify HRD tumors.

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Background: Placement of right precordial leads in higher intercostal spaces (EEP-ECG) improves the detection of Brugada Syndrome (BrS). Given the potential difficulty of lead placement and the transient nature of BrS ECG patterns, we developed a model to predict EEP-ECG from a standard 12‑lead ECG.

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A platform combining automatic segmentation and automatic measurement of the maxillary sinus and adjacent structures.

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