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ML-SIM
Structured illumination microscopy (SIM) has become an important technique for optical super-resolution imaging because it allows a doubling of image resolution at speeds compatible with live-cell imaging. However, the...
Published by: Biomedical optics express
ML-SIM
Structured illumination microscopy (SIM) has become an important technique for
optical super-resolution imaging because it allows a doubling of image resolution at speeds
compatible with live-cell imaging. However, the...
90K immunostimulatory glycoprotein in children with juvenile idiopathic arthritis.
Cristina Cecamore, Manuela Marsili, Roberta Salvatore, Roberto Troiani, Maurizia D'Egidio, Nicola Tinari, Piernicola Pelliccia, Francesco Chiarelli, M Loredana Marcovecchio, Luciana Breda
Nov 23, 2018
OBJECTIVES: To assess whether circulating levels of 90K glycoprotein are increased in children with juvenile idiopathic arthritis (JIA) at different stages of the disease, compared to healthy controls and to evaluate potential...
One-hour post-load plasma glucose levels associated with decreased insulin sensitivity and secretion and early makers of cardiometabolic risk.
PURPOSE: Obese adults with normal glucose tolerance (NGT) but with 1-hour post-load plasma glucose (1hPG) ≥ 155 mg/dl are at higher risk of developing type 2 diabetes (T2D) and cardiometabolic complications. Little information...
1-H plasma glucose ADOLESCENTS Cardio-metabolic risk children Insulin Secretion insulin sensitivity obesity Adolescent Biomarkers Blood Glucose Cardiovascular Diseases Child Child Preschool Diabetes mellitus Type 2 Female Glucose Intolerance Glucose Tolerance Test Humans Insulin Insulin Resistance Insulin Secretion Male Metabolic Diseases Retrospective Studies
ML-EC2
A multi-label variant of email classification named ML-EC2 (multi-label email classification using clustering) has been proposed in this work. ML-EC2 is a hybrid algorithm based on text clustering, text classification...
Published by: IGI Global Scientific Publishing
Assessing the Effectiveness of Textual Recommendations in KoopaML
Pablo Antúnez-Muiños, Pablo Pérez-Sánchez, Andrea Vázquez-Ingelmo, Francisco García-Peñalvo, Antonio Sánchez-Puente, Víctor Vicente-Palacios, Alicia García-Holgado, P. Dorado-Díaz, Jesús Sampedro-Gómez, Ignacio Cruz-González, Pedro Sánchez
Jan 01, 2024
Artificial intelligence (AI) integration, notably in healthcare, has been significant, yet effective implementation in critical areas requires expertise. KoopaML, a previously developed visual platform, aims at bridging this...
Published by: IGI Global Scientific Publishing
A Proposal for Research on the Application of AI/ML in ITPM
According to the market research firm Tractica, the global artificial intelligence software market is forecast to grow to 126 billion by 2025. Additionally, the Gartner group predicts that during the same time as much as 80% of...
Published by: IGI Global Scientific Publishing
A ML framework to predict permeability of highly porous media based on PSD
Abstract
Using machine learning (ML) method to predict permeability of porous media has shown great potential in recent years. A current problem is the lack of effective models to...
A ML framework to predict permeability of highly porous media based on PSD
Abstract
Using machine learning (ML) method to predict permeability of porous media has shown great potential in recent years. A current problem is the lack of effective models to...
A ML framework to predict permeability of highly porous media based on PSD
Abstract: Using machine learning (ML) method to predict permeability of porous media has shown great potential in recent years. A current problem is the lack of effective models to account for highly porous media with dilated...
Biomarkers of diabetic kidney disease.
Diabetic kidney disease (DKD) remains one of the leading causes of reduced lifespan in diabetes. The quest for both prognostic and surrogate endpoint biomarkers for advanced DKD and end-stage renal disease has received major...
biomarker Diabetic kidney disease EPIDEMIOLOGY Nephropathy Review Albuminuria Algorithms Animals Biomarkers Diabetes mellitus Type 1 Diabetes mellitus Type 2 Diabetic Nephropathies Disease Progression Glomerular Filtration Rate Humans Kidney Kidney Failure Chronic Metabolomics MicroRNAs Prognosis Programmed Cell Death 1 Ligand 2 Protein Proteomics
Preventing Cardiovascular Complications in Type 1 Diabetes
Cardiovascular disease (CVD) remains the main cause of morbidity and mortality in individuals with type 1 diabetes (T1D). Adolescence appears to be a critical time for the development of early subclinical manifestations of CVD...
Preventing Cardiovascular Complications in Type 1 Diabetes
Cardiovascular disease (CVD) remains the main cause of morbidity and mortality in individuals with type 1 diabetes (T1D). Adolescence appears to be a critical time for the development of early subclinical manifestations of CVD...
Cardiovascular autonomic dysfunction predicts increasing albumin excretion in type 1 diabetes.
OBJECTIVE: To determine the potential role of cardiovascular autonomic dysfunction in the development of renal complications in young people with type 1 diabetes (T1D). METHODS: In this prospective study, 199 children and...
434 MHz Environmentally Safe Monitoring Schema for Vehicular Network by AI-ML-IoT Technologies
Connected vehicular tracking schema operated in environmentally safe radio frequency of 434 MHz, artificial intelligence, and machine learning and IoT technology (CVT-AIML-IoT) is cost effective and secured tracking or device...
Published by: IGI Global Scientific Publishing
Insulin administration and rate of glucose appearance in people with type 1 diabetes.
Mary E Pennant, Leslie JC Bluck, M Loredana Marcovecchio, Burak Salgin, Roman Hovorka, David B Dunger
Feb 21, 2020
OBJECTIVE: To assess whether prandial insulin, in addition to basal insulin, has an effect on the rate of glucose appearance from a meal in people with type 1 diabetes. RESEARCH DESIGN AND METHODS: The rate of glucose appearance...
Increased GLP-1 response to oral glucose in pre-pubertal obese children.
Cosimo Giannini, Nicoletta Pietropaoli, Nella Polidori, Francesco Chiarelli, Maria Loredana Marcovecchio, Angelika Mohn
Aug 24, 2018
BACKGROUND: Gastrointestinal hormones, such as glucagon-like peptide (GLP-1), have been hypothesized to play a role in the pathogenesis of obesity-related complications. However, few data are available in youth. The objective of...
Integrating Unsupervised and Supervised ML Models for Analysis of Synthetic Data From VAE, GAN, and Clustering of Variables
Lakshmi Prayaga, Krishna Devulapalli, Chandra Prayaga, Aaron Wade, Gopi Reddy, Sri Pola
Jan 01, 2024
Clustering of variables is a specialized approach for dimensionality reduction. This strategy is evaluated for data reduction with a Kaggle diabetes dataset. Since the original dataset is small, Generative Adversarial Networks...
Published by: IGI Global Scientific Publishing
Leveraging TenSEAL
In our interconnected world, the use of Internet of Things (IoT) devices generates vast amounts of sensitive data. To secure this data while extracting insights, privacy-preserving machine learning (PPML) tools like Fully...
Published by: IGI Global Scientific Publishing
Role of THRB, ARG1, and ADRB2 Genetic Variants on Bronchodilators Response in Asthmatic Children.
Alessandra Scaparrotta, Marica Franzago, Maria Loredana Marcovecchio, Sabrina Di Pillo, Francesco Chiarelli, Angelika Mohn, Liborio Stuppia
Feb 12, 2019
Background: An interindividual variability in response to short-acting bronchodilator drugs (short-acting inhaled β2-agonists, SABA) exists and this is linked in part to genetic factors. The aim of this study was to verify the...
Asthma bronchodilator response children Genetic variants Pharmacogenetics Administration Inhalation Adrenergic beta-2 Receptor Agonists Arginase Asthma Bronchodilator Agents Child Female Forced Expiratory Volume Genes erbA genetic variation Genotype Humans Male Polymorphism Single Nucleotide Prospective Studies Receptors Adrenergic beta-2 Spirometry
Optimal Prandial Timing of Insulin Bolus in Youths with Type 1 Diabetes
Enza Mozzillo, Roberto Franceschi, Francesca Di Candia, Alessia Ricci, Letizia Leonardi, Martina Girardi, Francesco Maria Rosanio, Maria Loredana Marcovecchio
Jan 25, 2023
The aim of this systematic review was to report the evidence on optimal prandial timing of insulin bolus in youths with type 1 diabetes. A systematic search was performed including studies published in the last 20 years...
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