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Rationale and design of APOLLO: a personalized rehAbilitation PrOgram in aLLOgeneic bone marrow transplantation.
BMC Cancer
January 2025
Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, AB, Canada.
Background: Hematopoietic stem cell transplantation (HSCT) is a common therapy for many hematologic malignancies. While advances in transplant practice have improved cancer-specific outcomes, multiple and debilitating long term physical and psychologic effects remain. Patients undergoing allogeneic bone marrow transplantation (allo-BMT) are often critically ill at initial diagnosis and with necessary sequential treatments become increasingly frail and deconditioned.
View Article and Find Full Text PDFEffects of Electroacupuncture Per-Conditioning at Huantiao on Motor Function Recovery in Acute Cerebral Ischemia Mice.
Physiol Behav
January 2025
Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China; Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China. Electronic address:
Background: Continuous electroacupuncture pre-conditioning (EPRC) and post-conditioning (EPOC) effectively improve motor dysfunction after acute cerebral ischemia, but they require multiple treatments. Recently, electroacupuncture per-conditioning (EPEC) has demonstrated neuroprotective effects, indicating that this single-session intervention has short-term efficacy.
Objective: To evaluate the effect of EPEC at Huantiao (GB30) on motor recovery in acute cerebral ischemia mice.
Maternal urinary levels of PAH metabolites, umbilical cord blood telomere length and anthropometric indices in newborns.
Ecotoxicol Environ Saf
January 2025
Department of Rehabilitation, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, China. Electronic address:
The existing evidence indicating that prenatal exposure to polycyclic aromatic hydrocarbons (PAHs) is associated with a range of adverse outcomes, including alterations in anthropometric indices, underscores the need for further investigation into the underlying mechanisms. This study aims to examine the effects of prenatal PAH exposure on anthropometric indices and telomere length (TL), as well as to explore whether changes in TL can serve as a predictor of alterations in anthropometric measures. The study was conducted in Shenyang, China, with 2460 pregnant women participating between 2022 and 2023.
View Article and Find Full Text PDFTowards contrast-agnostic soft segmentation of the spinal cord.
Med Image Anal
January 2025
NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montréal, Montréal, Québec, Canada; Mila - Québec Artificial Intelligence Institute, Montréal, Québec, Canada; Functional Neuroimaging Unit, CRIUGM, University of Montreal, Montreal, Québec, Canada; Centre de recherche du CHU Sainte-Justine, Université de Montréal, Montréal, Québec, Canada. Electronic address:
Spinal cord segmentation is clinically relevant and is notably used to compute spinal cord cross-sectional area (CSA) for the diagnosis and monitoring of cord compression or neurodegenerative diseases such as multiple sclerosis. While several semi and automatic methods exist, one key limitation remains: the segmentation depends on the MRI contrast, resulting in different CSA across contrasts. This is partly due to the varying appearance of the boundary between the spinal cord and the cerebrospinal fluid that depends on the sequence and acquisition parameters.
View Article and Find Full Text PDFAdaptive Multi-Kernel Graph Neural Network for Drug-Drug Interaction Prediction.
Interdiscip Sci
January 2025
School of Computer Science, Qufu Normal University, Rizhao, 276826, China.
Combination therapy, which synergistically enhances treatment efficacy and inhibits disease progression through the combined effects of multiple drugs, has emerged as a mainstream approach for treating complex diseases and alleviating symptoms. However, drug-drug interactions (DDIs) can sometimes lead to adverse reactions, potentially endangering lives. Therefore, developing efficient and accurate DDI prediction methods is crucial for elucidating drug mechanisms and preventing side effects.
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