Calcium-Binding Proteins

Correlation of Brain Neuropeptide (Nesfatin-1 and Orexin-A) Concentrations with Anthropometric and Biochemical Parameters in Malnourished Children.

Journal of clinical research in pediatric endocrinology 26831553

OBJECTIVE: Malnutrition continues to be a leading cause of stunted growth in many countries. This study aimed to investigate serum nesfatin-1 and orexin-A levels in underweight children and the potential correlations of these levels with anthropometr...

Anthropometry Body Height Body Mass Index Body Weight Calcium-Binding Proteins Case-Control Studies Child Child Nutrition Disorders Child, Preschool DNA-Binding Proteins Enzyme-Linked Immunosorbent Assay Female Humans Male Multivariate Analysis Nerve Tissue Proteins Nucleobindins Orexins Thyrotropin Thyroxine Vitamin B 12

View on PubMed DOI

Computer versus cardiologist: Is a machine learning algorithm able to outperform an expert in diagnosing a phospholamban p.Arg14del mutation on the electrocardiogram?

Heart rhythm 32911053

BACKGROUND: Phospholamban (PLN) p.Arg14del mutation carriers are known to develop dilated and/or arrhythmogenic cardiomyopathy, and typical electrocardiographic (ECG) features have been identified for diagnosis. Machine learning is a powerful tool us...

Adolescent Adult Algorithms Arrhythmogenic Right Ventricular Dysplasia Calcium-Binding Proteins Cardiologists Clinical Competence Computers DNA DNA Mutational Analysis Electrocardiography Female Humans Machine Learning Male Middle Aged Mutation Phenotype Reproducibility of Results Retrospective Studies Young Adult

View on PubMed DOI

Discovering and Visualizing Disease-Specific Electrocardiogram Features Using Deep Learning: Proof-of-Concept in Phospholamban Gene Mutation Carriers.

Circulation. Arrhythmia and electrophysiology 33401921

BACKGROUND: ECG interpretation requires expertise and is mostly based on physician recognition of specific patterns, which may be challenging in rare cardiac diseases. Deep neural networks (DNNs) can discover complex features in ECGs and may facilita...

Adult Calcium-Binding Proteins Deep Learning DNA DNA Mutational Analysis Electrocardiography Female Heart Diseases Humans Male Mutation Retrospective Studies

View on PubMed DOI

Analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach.

Nature communications 34556649

Assisted reproductive technologies (ART) are increasingly used, however little is known about the long-term health of ART-conceived offspring. Weak selection of comparison groups and poorly characterized mechanisms impede current understanding. In a ...

Adult Blood Pressure Body Height Body Weight Calcium-Binding Proteins Cardiovascular System Child DNA Methylation Female Humans Machine Learning Phenotype Prospective Studies Reproductive Techniques, Assisted Singapore Skinfold Thickness

View on PubMed DOI

ECG-only explainable deep learning algorithm predicts the risk for malignant ventricular arrhythmia in phospholamban cardiomyopathy.

Heart rhythm 38403235

BACKGROUND: Phospholamban (PLN) p.(Arg14del) variant carriers are at risk for development of malignant ventricular arrhythmia (MVA). Accurate risk stratification allows timely implantation of intracardiac defibrillators and is currently performed wit...

Adult Algorithms Calcium-Binding Proteins Cardiomyopathies Deep Learning Electrocardiography Female Humans Male Middle Aged Retrospective Studies Risk Assessment Tachycardia, Ventricular

View on PubMed DOI

Integrative analysis with machine learning identifies diagnostic and prognostic signatures in neuroblastoma based on differentially DNA methylated enhancers between INSS stage 4 and 4S neuroblastoma.

Journal of cancer research and clinical oncology 38512513

INTRODUCTION: Accumulating evidence demonstrates that aberrant methylation of enhancers is crucial in gene expression profiles across several cancers. However, the latent effect of differently expressed enhancers between INSS stage 4S and 4 neuroblas...

Calcium-Binding Proteins DNA Forkhead Transcription Factors Humans Machine Learning Neuroblastoma Prognosis Risk Factors Trans-Activators Tumor Microenvironment

View on PubMed DOI

Machine learning-driven discovery of novel therapeutic targets in diabetic foot ulcers.

Molecular medicine (Cambridge, Mass.) 39543487

BACKGROUND: To utilize machine learning for identifying treatment response genes in diabetic foot ulcers (DFU).

Biomarkers Calcium-Binding Proteins Computational Biology Diabetic Foot Female Gene Expression Profiling Humans Machine Learning Male Single-Cell Analysis Transcriptome Wound Healing

View on PubMed DOI

3-Dimensional morphological characterization of neuroretinal microglia in Alzheimer's disease via machine learning.

Acta neuropathologica communications 39719599

Alzheimer's Disease (AD) is a debilitating neurodegenerative disease that affects 47.5 million people worldwide. AD is characterised by the formation of plaques containing extracellular amyloid-β (Aβ) and neurofibrillary tangles composed of hyper-pho...

Aged Aged, 80 and over Alzheimer Disease Antigens, CD Antigens, Differentiation, Myelomonocytic Calcium-Binding Proteins CD68 Molecule Female Humans Imaging, Three-Dimensional Machine Learning Male Microfilament Proteins Microglia Middle Aged Retina

View on PubMed DOI

Leveraging diverse cell-death patterns in diagnosis of sepsis by integrating bioinformatics and machine learning.

PeerJ 40028203

BACKGROUND: Sepsis is a life-threatening disease causing millions of deaths every year. It has been reported that programmed cell death (PCD) plays a critical role in the development and progression of sepsis, which has the potential to be a diagnosi...

Apoptosis Biomarkers Calcium-Binding Proteins Calgranulin B CARD Signaling Adaptor Proteins Computational Biology Female Gene Expression Profiling Humans Machine Learning Male Sepsis Transcriptome

View on PubMed DOI

CaML: Chemistry-informed machine learning explains mutual changes between protein conformations and calcium ions in calcium-binding proteins using structural and topological features.

Protein science : a publication of the Protein Society 39865355

Proteins' flexibility is a feature in communicating changes in cell signaling instigated by binding with secondary messengers, such as calcium ions, associated with the coordination of muscle contraction, neurotransmitter release, and gene expression...

Algorithms Calcium Calcium-Binding Proteins Machine Learning Models, Molecular Protein Conformation

View on PubMed DOI

AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Correlation of Brain Neuropeptide (Nesfatin-1 and Orexin-A) Concentrations with Anthropometric and Biochemical Parameters in Malnourished Children.

Computer versus cardiologist: Is a machine learning algorithm able to outperform an expert in diagnosing a phospholamban p.Arg14del mutation on the electrocardiogram?

Discovering and Visualizing Disease-Specific Electrocardiogram Features Using Deep Learning: Proof-of-Concept in Phospholamban Gene Mutation Carriers.

Analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach.

ECG-only explainable deep learning algorithm predicts the risk for malignant ventricular arrhythmia in phospholamban cardiomyopathy.

Integrative analysis with machine learning identifies diagnostic and prognostic signatures in neuroblastoma based on differentially DNA methylated enhancers between INSS stage 4 and 4S neuroblastoma.

Machine learning-driven discovery of novel therapeutic targets in diabetic foot ulcers.

3-Dimensional morphological characterization of neuroretinal microglia in Alzheimer's disease via machine learning.

Leveraging diverse cell-death patterns in diagnosis of sepsis by integrating bioinformatics and machine learning.

CaML: Chemistry-informed machine learning explains mutual changes between protein conformations and calcium ions in calcium-binding proteins using structural and topological features.

Popular Topics

Recent Journals