AIMC Topic: Middle Aged
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High-intensity interval training with robot-assisted gait therapy vs. treadmill gait therapy in chronic stroke: a randomized controlled trial.
Journal of neuroengineering and rehabilitation
Aug 2, 2025
OBJECTIVE: Stroke is a leading cause of long-term disability, significantly impacting patients' mobility and quality of life. Robot-assisted gait therapy (RAGT) and high-intensity interval training (HIIT) have individually shown potential in improvin...
Identification of prognostic genes related to T cell proliferation in papillary thyroid cancer based on single-cell RNA sequencing and bulk RNA sequencing data.
Clinical and experimental medicine
Aug 2, 2025
Papillary thyroid carcinoma (PTC) is the main pathological subtype of thyroid cancer. Given the strong association between T cells and PTC, this study focused on the prognostic value and potential molecular mechanisms of T cell proliferation-related ...
Age-related variation in hemoglobin glycation index and stroke mortality: mediation and machine learning in a cohort study.
Scientific reports
Aug 2, 2025
To investigate the associations between both age and the hemoglobin glycation index (HGI) and the 30-day and 1-year mortality in ischemic stroke (IS) patients and to analyze the mediating effect of the HGI on the relationship between age and mortalit...
Personalized ML-based wearable robot control improves impaired arm function.
Nature communications
Aug 2, 2025
Portable wearable robots offer promise for assisting people with upper limb disabilities. However, movement variability between individuals and trade-offs between supportiveness and transparency complicate robot control during real-world tasks. We ad...
Novel risk factors and personalized risk calculator for predicting proximal junctional kyphosis after adult spinal deformity surgery.
The bone & joint journal
Aug 1, 2025
AIMS: Proximal junctional kyphosis (PJK) is a prevalent and detrimental complication associated with corrective surgery for adult spinal deformity (ASD). While existing predictive models have been able to predict PJK, they have lacked individualized ...
An AI-driven machine learning approach identifies risk factors associated with 30-day mortality following total aortic arch replacement combined with stent elephant implantation.
Annals of medicine
Jul 31, 2025
OBJECTIVES: During emergency surgery, patients with acute type A aortic dissection (ATAAD) experience unfavourable outcomes throughout their hospital stay. The combination of total aortic arch replacement (TAR) and frozen elephant trunk (FET) implant...
Serum metabolic patterns reveal the diagnostic and prognostic role of alanine abnormality in ocular adnexal lymphoma.
Proceedings of the National Academy of Sciences of the United States of America
Jul 31, 2025
Ocular adnexal lymphoma (OAL) is the most common orbital malignancy in adults. Advanced tools for precise diagnosis and prognosis of OAL are in demand. Here, the nanoparticle-enhanced laser desorption/ionization mass spectrometry was applied for the ...
Enhanced stroke risk prediction in hypertensive patients through deep learning integration of imaging and clinical data.
BMC medical informatics and decision making
Jul 31, 2025
BACKGROUND: Stroke is one of the leading causes of death and disability worldwide, with a significantly elevated incidence among individuals with hypertension. Conventional risk assessment methods primarily rely on a limited set of clinical parameter...
Identification and validation of an explainable machine learning model for vascular depression diagnosis in the older adults: a multicenter cohort study.
BMC medicine
Jul 31, 2025
BACKGROUND: Vascular depression (VaDep) is a prevalent affective disorder in older adults that significantly impacts functional status and quality of life. Early identification and intervention are crucial but largely insufficient in clinical practic...
Advanced multi-label brain hemorrhage segmentation using an attention-based residual U-Net model.
BMC medical informatics and decision making
Jul 31, 2025
OBJECTIVE: This study aimed to develop and assess an advanced Attention-Based Residual U-Net (ResUNet) model for accurately segmenting different types of brain hemorrhages from CT images. The goal was to overcome the limitations of manual segmentatio...
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