Nephrology

Anemia

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

3,603 articles
Stay Ahead - Weekly Anemia research updates
Subscribe
Browse Categories
Nephrology Subcategories: Anemia End Stage Renal Disease
Showing 946-966 of 3,603 articles
Identification of novel potential hypoxia-inducible factor-1α inhibitors through machine learning and computational simulations.

INTRODUCTION: Hypoxia-inducible factor-1α (HIF-1α) has become a significant therapeutic target for b...

Jan 2025 40421268
An efficient leukemia prediction method using machine learning and deep learning with selected features.

Leukemia is a serious problem affecting both children and adults, leading to death if left untreated...

Jan 2025 40378164
An active machine learning framework for automatic boxing punch recognition and classification using upper limb kinematics.

Boxing punch type classification and kinematic analysis are essential for coaches and athletes, prov...

Jan 2025 40338954
Leveraging Edge Intelligence and LLMs to Advance 6G-Enabled Internet of Automated Defense Vehicles

The evolution of Artificial Intelligence (AI) and its subset Deep Learning (DL), has profoundly im...

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language

Traditional psychological evaluations rely heavily on human observation and interpretation, which ...

Fatigue Monitoring Using Wearables and AI: Trends, Challenges, and Future Opportunities

Monitoring fatigue is essential for improving safety, particularly for people who work long shifts...

Psych-Occlusion: Using Visual Psychophysics for Aerial Detection of Occluded Persons during Search and Rescue

The success of Emergency Response (ER) scenarios, such as search and rescue, is often dependent up...

Step-by-Step Guidance to Differential Anemia Diagnosis with Real-World Data and Deep Reinforcement Learning

Clinical diagnostic guidelines outline the key questions to answer to reach a diagnosis. Inspired ...

PMI-DT: Leveraging Digital Twins and Machine Learning for Predictive Modeling and Inspection in Manufacturing

Over the years, Digital Twin (DT) has become popular in Advanced Manufacturing (AM) due to its abi...

Early identification of patients at risk for iron-deficiency anemia using deep learning techniques.

OBJECTIVES: Iron-deficiency anemia (IDA) is a common health problem worldwide, and up to 10% of adul...

Sep 2024 38642073
Artificial Intelligence Outcome Prediction in Neonates with Encephalopathy (AI-OPiNE).

Purpose To develop a deep learning algorithm to predict 2-year neurodevelopmental outcomes in neonat...

Sep 2024 38984984
Identification of Prognostic Biomarkers for Stage III Non-Small Cell Lung Carcinoma in Female Nonsmokers Using Machine Learning

Lung cancer remains a leading cause of cancer-related deaths globally, with non-small cell lung ca...

Development of a Data Model to Predict Nursing Workload Using Routine Clinical Data.

The effective management of human resources in nursing is fundamental to ensuring high-quality care....

Aug 2024 39176968
Natural Language Processing Accurately Differentiates Cancer Symptom Information in Electronic Health Record Narratives.

PURPOSE: Identifying cancer symptoms in electronic health record (EHR) narratives is feasible with n...

Aug 2024 39116379
Staff Management with AI: Predicting the Nursing Workload.

The effective management of human resources in nursing fundamental to ensuring high-quality care. Th...

Jul 2024 39049259
Design, Fabrication, and Characterization of a User-Friendly Microfluidic Device for Studying Liver Zonation-on-Chip (ZoC)

Liver zonation is a fundamental characteristic of hepatocyte spatial heterogeneity, which is chall...

Relating CNN-Transformer Fusion Network for Change Detection

While deep learning, particularly convolutional neural networks (CNNs), has revolutionized remote ...

Fatigue Detection with Machine Learning Approaches using Data from Wearable Devices.

Severe and chronic fatigue is one of the top symptoms in patients with non-communicable chronic immu...

Jul 2024 40031477
Learning Enabled Control for Optimal EPO Dosage in Virtual CKD Patients: Case of Bleeding and Missing Dosage.

Traditional model-based control methods require predictive models to design control policies. These ...

Jul 2024 40039101
Browse Categories