Nephrology

Anemia

Latest AI and machine learning research in anemia for healthcare professionals.

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Nephrology Subcategories: Anemia End Stage Renal Disease
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Adaptive myoelectric pattern recognition toward improved multifunctional prosthesis control.

The non-stationary property of electromyography (EMG) signals in real life settings usually hinders ...

Biomechanical analysis on neurotypical and autism spectrum disorder people during human-cobot interaction.

Biomechanical analysis is essential for assessing subjects interacting with robotic setups and platf...

Domain-separated capsule network for damage detection in aluminum plates under varying vibration conditions.

The 2024 aluminum alloy, known for its high strength and resistance to fatigue, is widely used in cr...

Identifying smart technology and artificial intelligence solutions for human factors and ergonomic challenges in all-hazard response: A survey study.

Emergency responders face significant human factors and ergonomic (HF/E) challenges related to physi...

Leveraging Artificial Intelligence for Digital Symptom Management in Oncology: The Development of CRCWeb.

Digital health interventions offer promise for scalable and accessible health care, but access is st...

Development and experimental verification of a prognosis model for hypoxia- and lactate metabolism-associated genes in HNSCC.

Hypoxia and lactate metabolism are both distinctive characteristics of cancerous cells. Head and nec...

Attention Regulation Among Sleep-Deprived Air-Force Pilots.

Short sleep duration is associated with adverse physical and mental events. However, it is quite cha...

Machine-learning models to predict iron recovery after blood donation: a model development and external validation study.

BACKGROUND: Machine-learning models directly predicting iron biomarkers after blood donation could h...

Identifying shared hub genes in LIRI and MASLD through bioinformatics analysis and machine learning.

Patients with metabolic dysfunction-associated steatotic liver disease (MASLD) are more susceptible ...

Performance of machine learning models for predicting high-severity symptoms in multiple sclerosis.

Current care in multiple sclerosis (MS) primarily relies on infrequently obtained data such as magne...

Emotion-Aware RoBERTa enhanced with emotion-specific attention and TF-IDF gating for fine-grained emotion recognition.

Emotion recognition in text is a fundamental task in natural language processing, underpinning appli...

Machine learning approach for differentiating iron deficiency anemia and thalassemia using random forest and gradient boosting algorithms.

Formulas based on red blood cell indices have been used to differentiate between iron deficiency ane...

Pickup truck crash severity analysis via machine learning: policy insights for developing countries.

This study pursues two complementary objectives: first, evaluating machine learning approaches for c...

Transcriptomic Profiling of Hypoxia-Adaptive Responses in Tibetan Goat Fibroblasts.

The Tibetan goat () exhibits remarkable adaptations to high-altitude hypoxia, yet the molecular mech...

Single-cell and spatial transcriptomics reveals an anti-tumor neutrophil subgroup in microwave thermochemotherapy-treated lip cancer.

Microwave thermochemotherapy (MTC) has been applied to treat lip squamous cell carcinoma (LSCC), but...

The Effect of Transcranial Direct Current Stimulation on Basketball Performance-A Scoping Review.

: Basketball performance requires not only intermittent high-intensity movements-such as sprinting, ...

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