Nephrology

Anemia

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

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Nephrology Subcategories: Anemia End Stage Renal Disease
Showing 295-315 of 3,593 articles
Leveraging Artificial Intelligence for Digital Symptom Management in Oncology: The Development of CRCWeb.

UNSTRUCTURED: Digital health interventions offer promise for scalable and accessible healthcare, but...

May 2025 40324958
Mismatch between warning information and protective behavior: Why experts + AI < 2?

Warning information plays a vital role in encouraging disaster preparedness among residents. Using s...

May 2025 40320785
A dense multi-pooling convolutional network for driving fatigue detection.

Driver fatigue is one of the major causes of traffic accidents, particularly for drivers of large ve...

May 2025 40319134
Performance Evaluation of Monocular Markerless Pose Estimation Systems for Industrial Exoskeletons.

Industrial exoskeletons (a.k.a. wearable robots) have been developed to reduce musculoskeletal fatig...

May 2025 40363315
Metabolomics as a tool for understanding and treating triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is an aggressive and heterogeneous variant of breast cancer dis...

May 2025 40314763
Detection of β-Thalassemia trait from a heterogeneous population with red cell indices and parameters.

BACKGROUND: India is home to about 42 million people with β-thalassemia trait (βTT) necessitating sc...

Apr 2025 40288292
Exploring hypoxia driven subtypes of pulmonary arterial hypertension through transcriptomics single cell sequencing and machine learning.

Pulmonary arterial hypertension (PAH) is a progressive cardiovascular disease characterized by eleva...

Apr 2025 40275058
Optimizing machine learning models for predicting anemia among under-five children in Ethiopia: insights from Ethiopian demographic and health survey data.

BACKGROUND: Healthcare practitioners require a robust predictive system to accurately diagnose disea...

Apr 2025 40264060
A comprehensive case study of deep learning on the detection of alpha thalassemia and beta thalassemia using public and private datasets.

This study explores the performance of deep learning models, specifically Convolutional Neural Netwo...

Apr 2025 40246871
Development of a Deep-Learning-Based Computerized Scoring Algorithm.

During polygraph tests, the examiner evaluates physiological responses recorded on a chart to identi...

Apr 2025 40285226
Sonopermeation combined with stroma normalization enables complete cure using nano-immunotherapy in murine breast tumors.

Nano-immunotherapy shows great promise in improving patient outcomes, as seen in advanced triple-neg...

Apr 2025 40233830
Estimating gait parameters from sEMG signals using machine learning techniques under different power capacity of muscle.

The gait analysis has been applied in many fields, such as the assessment of falling, force evaluati...

Apr 2025 40221487
Optimized driver fatigue detection method using multimodal neural networks.

Driver fatigue is a significant factor contributing to road accidents, highlighting the need for pre...

Apr 2025 40210869
DP-MP: a novel cross-subject fatigue detection framework with DANN-based prototypical representation and mix-up pairwise learning.

. Electroencephalography (EEG) is widely recognized as an effective method for detecting fatigue. Ho...

Apr 2025 38986468
Direct-acting antivirals (DAA) positively affect depression and cognitive function in patients with chronic hepatitis C.

The aim of the study was to determine how depression and cognitive dysfunction in patients with chro...

Apr 2025 40184345
Revolutionizing hematological disorder diagnosis: unraveling the role of artificial intelligence.

The integration of artificial intelligence (AI) into medical diagnostics is transforming the landsca...

Apr 2025 40486570
Shengxuebao Mixture improves carboplatin-induced anemia by inhibiting apoptosis and ferroptosis.

ETHNOPHARMACOLOGICAL RELEVANCE: Shengxuebao Mixture (SXB) is a traditional Chinese medicine which ha...

Apr 2025 40185255
Water quality parameters-based prediction of dissolved oxygen in estuaries using advanced explainable ensemble machine learning.

The dissolved oxygen (DO) is crucial for the ecological health of estuaries and bays. However, human...

Apr 2025 40174390
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