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 1-21 of 3,517 articles
Structural modification strategies for ferritin nanoparticles and their applications in biomedicine: a narrative review.

Ferritin is an iron-storage protein that naturally self-assembles into a hollow spherical particle c...

Advances in non-invasive diagnostic tools for endometriosis: A narrative review of the past ten years.

Endometriosis is a chronic condition defined by endometrium-like tissue outside the uterus, with sym...

Can polycythaemia vera disease be predicted from haematologic parameters? A machine learning-based study.

AIMS: The aim of this research is to diagnose polycythaemia vera (PV) disease using different machin...

Multiclass classification of thalassemia types using complete blood count and HPLC data with machine learning.

Mild to severe anemia is caused by thalassemia, a common genetic disorder affecting over 100 countri...

Enhancing online interaction through avatar-based dialogue systems utilizing the approaching movement.

The rise in online interactions has introduced multiple challenges, including confusion during virtu...

Fatigue and stamina prediction of athletic person on track using thermal facial biomarkers and optimized machine learning algorithm.

Athletic person's fatigue and stamina prediction plays a vital role for improving the overall perfor...

Voice fatigue subtyping through individual modeling of vocal demand reponses.

Recognizing individual variability is essential for developing targeted, personalized medical interv...

A Scoping Review on AI-Supported Interventions for Non-Pharmacological Management of Chronic Rheumatic Diseases.

This review summarizes AI-supported non-pharmacological interventions for adults with chronic rheuma...

Identification of diagnostic biomarkers and dissecting immune microenvironment with crosstalk genes in the POAG and COVID-19 nexus.

An underlying association between primary open-angle glaucoma (POAG) and COVID-19 has been hypothesi...

Railway traffic characterisation data based on weigh-in-motion and machine learning: A case study in Portugal.

Metallic railway bridges built during the 20th century are ageing, but their continued operation is ...

Inflammatory, fibrotic and endothelial biomarker profiles in COVID-19 patients during and following hospitalization.

Survivors of severe COVID-19 often suffer from long-term respiratory issues, but the molecular drive...

Comprehensive multi-omics and machine learning framework for glioma subtyping and precision therapeutics.

Glioma is a highly heterogeneous and aggressive brain tumour that demands an integrated understandin...

Exploiting heart rate variability for driver drowsiness detection using wearable sensors and machine learning.

Driver drowsiness is a critical issue in transportation systems and a leading cause of traffic accid...

Transcriptomic and single-cell insights into mitochondrial genes NDUFA8, ECI2, and ACADM in acute myocardial infarction.

Mitochondrial function plays a crucial role in understanding the pathogenesis of acute myocardial in...

Robot-Assisted Retrograde Intrarenal Surgery: A Mini Review of the Literature on Robotic Surgery Platforms for Endoscopic Stone Surgery.

Retrograde intrarenal surgery (RIRS) has become a cornerstone in renal stone management, with roboti...

Experimental and machine learning-driven assessment of IS 2062 steel under double-base propellant combustion conditions.

The degradation behavior of IS 2062 structural steel under extreme combustion conditions induced by ...

Photoacoustic-Integrated Multimodal Approach for Colorectal Cancer Diagnosis.

Colorectal cancer remains a major global health challenge, emphasizing the need for advanced diagnos...

Machine learning unveils hypoxia-immune gene hub for clinical stratification of thyroid-associated ophthalmopathy.

Thyroid-associated ophthalmopathy (TAO) is an autoimmune disorder affecting the orbit, potentially r...

Deep learning for smartphone-aided detection system of Helicobacter Pylori in gastric biopsy.

Helicobacter pylori (HP) have chronically infected more than half of the world's population and is a...

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