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Background: Segmentation models for clinical data experience severe performance degradation when trained on a single client from one domain and distributed to other clients from different domain. Federated Learning (FL) provides a solution by enabling multi-party collaborative learning without compromising the confidentiality of clients' private data.

Methods: In this paper, we propose a cross-domain FL method for Weakly Supervised Semantic Segmentation (FL-W3S) of white blood cells in microscopic images.

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Tumour-infiltrating Lymphocytes and Radiation Therapy in Rectal Cancer: Systematic Review and Meta-analysis.

Clin Oncol (R Coll Radiol)

December 2024

Faculty of Medicine and Health Sciences, University of Antwerp, Prinsstraat 13, 2000, Antwerp, Belgium; Department of Radiation Oncology, Iridium Netwerk, Oosterveldlaan 22, 2610, Antwerp, Belgium. Electronic address:

Aim: Tumour-infiltrating lymphocytes (TILs) represent a promising cancer biomarker. Different TILs, including CD8+, CD4+, CD3+, and FOXP3+, have been associated with clinical outcomes. However, data are lacking regarding the value of TILs for patients receiving radiation therapy (RT).

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This study compares and investigates the efficacy of 2 different surgical methods for early stage femoral head necrosis and analyze the factors affecting surgical outcomes and long-term femoral head survival. A retrospective analysis was conducted on the clinical data of 48 patients (52 hips) with femoral head necrosis who underwent either the Super-Path or Watson-Jones approach from January 1, 2016, to January 1, 2024. Harris scores at multiple time points before and after surgery were compared using repeated-measures analysis of variance (ANOVA), and a COX proportional hazards model was used to analyze risk factors.

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T-helper 17 (Th17) cells significantly influence the onset and advancement of malignancies. This study endeavor focused on delineating molecular classifications and developing a prognostic signature grounded in Th17 cell differentiation-related genes (TCDRGs) using machine learning algorithms in head and neck squamous cell carcinoma (HNSCC). A consensus clustering approach was applied to The Cancer Genome Atlas-HNSCC cohort based on TCDRGs, followed by an examination of differential gene expression using the limma package.

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Genes on the X chromosome are extensively expressed in the human brain. However, little is known for the X chromosome's impact on the brain anatomy, microstructure, and functional networks. We examined 1045 complex brain imaging traits from 38,529 participants in the UK Biobank.

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