Publications by authors named "K G Lehmann"

: ABO-incompatible live-donor kidney transplantation (ABOi-LDKT) has become an established treatment for end-stage renal disease. Non-inferiority in the long-term graft function compared to ABO-compatible live-donor kidney transplantations (ABOc-LDKTs) has been shown. However, the assumed burden due to complications owing to increased immunosuppression inherent to ABOi-LDKTs has not yet been quantified.

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Developmental neuronal remodeling is extensive and mechanistically diverse across the nervous system. We sought to identify Drosophila pupal neurons that underwent mechanistically new types of neuronal remodeling and describe remodeling Beat-VaM and Beat-VaL neurons. We show that Beat-VaM neurons produce highly branched neurites in the CNS during larval stages that undergo extensive local pruning.

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Viral infections can lead to platelet activation and hemostatic complications. However, the extent to which platelet reactivity remains altered after convalescence, contributing to long-term health impairments as observed after COVID-19 is not yet fully understood. Therefore, we conducted a cohort study (DRKS00025217) to determine platelet function in individuals convalesced from mild COVID-19.

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Article Synopsis
  • Homologous recombination deficiency (HRD) is a key biomarker for predicting which cancer patients might respond to PARP inhibitors, but testing for HRD is complex.* -
  • The researchers created a deep learning pipeline using attention-weighted multiple instance learning (attMIL) to predict HRD status from routine histology images, achieving varying accuracy rates across different cancer types.* -
  • Results showed that HRD can be predicted directly from histology slides for multiple cancers, with the model demonstrating promising accuracy, particularly for endometrial, pancreatic, and lung cancers.*
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