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 106-126 of 3,517 articles
Construction and validation of a predictive model for meningoencephalitis in pediatric scrub typhus based on machine learning algorithms.

To retrospectively analyze the clinical characteristics of pediatric scrub typhus (ST) with meningoe...

Living Microalgae-Based Magnetic Microrobots for Calcium Overload and Photodynamic Synergetic Cancer Therapy.

The combination of Ca overload and reactive oxygen species (ROS) production for cancer therapy offer...

Machine Learning Techniques for Simulating Human Psychophysical Testing of Low-Resolution Phosphene Face Images in Artificial Vision.

To evaluate the quality of artificial visual percepts generated by emerging methodologies, researche...

Assessment of anemia recovery using peripheral blood smears by deep semi-supervised learning.

Monitoring anemia recovery is crucial for clinical intervention. Morphological assessment of red blo...

Machine learning-based integration develops a hypoxia-derived signature for improving outcomes in glioma.

The growth of glioma is frequently accompanied by a hypoxic microenvironment. Nevertheless, the clin...

Few-shot transfer learning for individualized braking intent detection on neuromorphic hardware.

This work explores use of a few-shot transfer learning method to train and implement a convolutional...

Rapidly self-healing electronic skin for machine learning-assisted physiological and movement evaluation.

Emerging electronic skins (E-Skins) offer continuous, real-time electrophysiological monitoring. How...

Predicting Type 2 diabetes onset age using machine learning: A case study in KSA.

The rising prevalence of Type 2 Diabetes (T2D) in Saudi Arabia presents significant healthcare chall...

Artificial intelligence-assisted diagnosis of early gastric cancer: present practice and future prospects.

Gastric cancer (GC) occupies the first few places in the world among tumors in terms of incidence an...

Subjective recovery in professional soccer players: A machine learning and mediation approach.

Coaches often ask players to judge their recovery status (subjective recovery). We aimed to explore ...

EEG-based fatigue state evaluation by combining complex network and frequency-spatial features.

BACKGROUND: The proportion of traffic accidents caused by fatigue driving is increasing year by year...

Application of Wearable Insole Sensors in In-Place Running: Estimating Lower Limb Load Using Machine Learning.

Musculoskeletal injuries induced by high-intensity and repetitive physical activities represent one ...

Spatial prediction of forest fires in India: a machine learning approach for improved risk assessment and early warning systems.

Forest fires pose a significant ecological and environmental threat globally, and India has seen a m...

A review on retinopathy of prematurity.

BACKGROUND: Retinopathy of prematurity (ROP) is a leading cause of childhood blindness. It predomina...

Preoperative anemia is an unsuspecting driver of machine learning prediction of adverse outcomes after lumbar spinal fusion.

BACKGROUND CONTEXT: Preoperative risk assessment remains a challenge in spinal fusion operations. Pr...

A Deep Learning Approach for Mental Fatigue State Assessment.

This study investigates mental fatigue in sports activities by leveraging deep learning techniques, ...

Acrobatics at the insect scale: A durable, precise, and agile micro-aerial robot.

Aerial insects are exceptionally agile and precise owing to their small size and fast neuromotor con...

Machine learning and multi-omics in precision medicine for ME/CFS.

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a complex and multifaceted disorder t...

Application of Additive Manufacturing and Deep Learning in Exercise State Discrimination.

With the rapid development of sports technology, smart wearable devices play a crucial role in athle...

Genomic determinants of biological age estimated by deep learning applied to retinal images.

With the development of deep learning (DL) techniques, there has been a successful application of th...

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