Anemia

Multimodal brain-gut-sleep phenotypes predict delirium, long-term cognitive decline, and survival after colorectal cancer surgery.

BACKGROUND: Neuroimmune, circadian, autonomic, and gut-brain processes jointly shape vulnerability t...

Terrestrial and Airborne Laser Scanning Dataset of Trees in the Shivalik Range, India with Field Measurements and Leaf-Wood Classifications.

Annotated datasets are essential for training and evaluating machine learning models in forest ecolo...

Predicting homologous recombination deficiency and treatment responses using a computed tomography-based foundation model: a preclinical study.

Homologous recombination deficiency (HRD) can lead to genomic instability, increased cancer suscepti...

Integrating Regenerative Therapies and Artificial Intelligence for Precision Management of Diabetic Foot Ulcers.

SIGNIFICANCE: Diabetic foot ulcers (DFUs) represent one of the most devastating complications of dia...

Research on the performance degradation and failure mechanism of exhaust Systems for explosion proof diesel engines in different mining applications.

Mine explosion-proof diesel engines are critical for underground coal mining, yet the long-term perf...

Pathophysiological mechanisms of fatigue and multidisciplinary management strategies (Review).

Fatigue is a common clinical symptom, and its complex pathophysiological mechanisms markedly affect ...

Identification of Glioma Phenotypic Subtypes From Multimodal MRI Data Using Hierarchical Multi-Kernel Learning.

BACKGROUND: Gliomas are the most common primary brain tumors, exhibiting significant phenotypic vari...

Multi-omics and machine learning-based profiling of severity signatures in Mycoplasma pneumoniae infection in children.

Mycoplasma pneumoniae pneumonia (MPP) is a common respiratory infection in children; however, the me...

Machine learning mortality prediction model for cyclosporine therapy in pediatric aplastic anemia.

The outcomes of children with aplastic anemia receiving cyclosporine monotherapy vary significantly ...

Physics-guided GNN-transformer model for multi-scale fatigue life prediction of concrete track slabs in high-speed railways.

This study establishes a novel machine learning paradigm integrating physical mechanisms. It aims to...

A deep state-space analysis framework for cancer patient latent state estimation and classification from EHR time-series data.

Advancements in deep learning technologies and an increase in medical data have enhanced the accurac...

Tomek links-based SMOTE method for class imbalance in blood cell classification with dual path sliding window attention model.

Medical image processing has transformed the Complete Blood Count (CBC) analysis to enhance diagnost...

An integrative clinical and bioinformatic analysis identifies MicroRNAs as biomarkers of ischemic stroke severity.

Identifying reliable circulating biomarkers is crucial for improving the diagnosis and risk stratifi...

Modulating subjective and objective cognitive state fatigue in long COVID with repetitive anodal tDCS: results from a double-blinded randomized controlled trial.

BACKGROUND: Cognitive fatigue is a frequently reported and debilitating symptom of long COVID, yet e...

Novel bayesian nonparametric unsupervised learning approach to precision symptom management in cancer survivors: a re-analysis of a comparative effectiveness trial.

Cancer survivors often experience multiple cooccurring symptoms such as insomnia, pain, fatigue, and...

A P4HA2 hypoxia signature derived from single cell atlas stratifies conserved subtypes with prognostic significance in cervical squamous cell carcinoma.

Identification of hypoxia- and mitophagy-related diagnostic biomarkers for ulcerative colitis based on bioinformatic analysis and machine learning.

BACKGROUND: Ulcerative colitis (UC) is a chronic nonspecific inflammatory bowel disease of unknown e...

Prediction of myeloid malignant cells in Fanconi anemia using machine learning.

Fanconi anemia (FA) is an inherited bone marrow failure syndrome with cancer predisposition. Most FA...

The effect of air pollution and household environmental indicators on anemia status among under-five children in low-middle income countries: exploring potential machine learning applications on demographic and health surveys.

Exposure to air pollution has been associated with anemia in children, but little effort has been ma...

OLink proteomic biomarker to predict clinical efficacy of Macaranga sinensis Müll.Arg: A nested case-control study.

ETHNOPHARMACOLOGICAL RELEVANCE: Despite the fact that herbal medicine has been used for a long time,...

[Computerized intrapartum cardiotocography: current evidence, controversies, and future directions].

Cardiotocography (CTG) is defined as the simultaneous recording of fetal heart rate and uterine cont...