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European Journal of Clinical Investigation
|
November 14, 2012
Delayed flow-mediated vasodilation and carotid atherosclerosis
Concetta Irace, Claudio Carallo, Antonio Loprete, et al.
Diabetes Technology & Therapeutics
|
August 17, 2019
Real-World Safety of an Implantable Continuous Glucose Sensor Over Multiple Cycles of Use: A Post-Market Registry Study
Dorothee Deiss, Concetta Irace, Grace Carlson, et al.
Acta Diabetologica
|
June 7, 2024
The relationship between endothelial-dependent flow-mediated dilation and diastolic function in type 2 diabetes
Antonio Cutruzzolà, Martina Parise, Michele Cacia, et al.
Coronary Artery Disease
|
March 19, 2009
Body mass index, metabolic syndrome and carotid atherosclerosis
Concetta Irace, Faustina Scavelli, Claudio Carallo, et al.
Animals : an Open Access Journal From MDPI
|
April 12, 2022
Clinical Use of a 180-Day Implantable Glucose Monitoring System in Dogs with Diabetes Mellitus: A Case Series
Antonio Maria Tardo, Concetta Irace, Francesca Del Baldo, et al.
Atherosclerosis
|
October 19, 2004
Effect of anti TNFalpha therapy on arterial diameter and wall shear stress and HDL cholesterol
Concetta Irace, Gerardo Mancuso, Elio Fiaschi, et al.
Stroke
|
January 17, 2004
Wall shear stress is associated with intima-media thickness and carotid atherosclerosis in subjects at low coronary heart disease risk
Concetta Irace, Claudio Cortese, Elio Fiaschi, et al.
Clinical Hemorheology and Microcirculation
|
January 14, 2012
Lack of association between systolic blood pressure and blood viscosity in normotensive healthy subjects
Concetta Irace, Claudio Carallo, Faustina Scavelli, et al.
Diabetes Research and Clinical Practice
|
January 26, 2024
Elevated blood flow in people with type 1 and type 2 diabetes
Antonio Cutruzzolà, Martina Parise, Pasquale Cozza, et al.
Computers in Biology and Medicine
|
March 4, 2026
Modeling strategies for CGM data: A scoping review of mechanistic, machine learning, and hybrid approaches in diabetes management
Nilde Fera, Anna Procopio, Paolo Zaffino, et al.
Page
of 10
Search research articles
Search
Showing results (11-20 of 95) with videos related to
Sort By:
Page
of 10
European Journal of Clinical Investigation
|
November 14, 2012
Delayed flow-mediated vasodilation and carotid atherosclerosis
Concetta Irace, Claudio Carallo, Antonio Loprete, et al.
Diabetes Technology & Therapeutics
|
August 17, 2019
Real-World Safety of an Implantable Continuous Glucose Sensor Over Multiple Cycles of Use: A Post-Market Registry Study
Dorothee Deiss, Concetta Irace, Grace Carlson, et al.
Acta Diabetologica
|
June 7, 2024
The relationship between endothelial-dependent flow-mediated dilation and diastolic function in type 2 diabetes
Antonio Cutruzzolà, Martina Parise, Michele Cacia, et al.
Coronary Artery Disease
|
March 19, 2009
Body mass index, metabolic syndrome and carotid atherosclerosis
Concetta Irace, Faustina Scavelli, Claudio Carallo, et al.
Animals : an Open Access Journal From MDPI
|
April 12, 2022
Clinical Use of a 180-Day Implantable Glucose Monitoring System in Dogs with Diabetes Mellitus: A Case Series
Antonio Maria Tardo, Concetta Irace, Francesca Del Baldo, et al.
Atherosclerosis
|
October 19, 2004
Effect of anti TNFalpha therapy on arterial diameter and wall shear stress and HDL cholesterol
Concetta Irace, Gerardo Mancuso, Elio Fiaschi, et al.
Stroke
|
January 17, 2004
Wall shear stress is associated with intima-media thickness and carotid atherosclerosis in subjects at low coronary heart disease risk
Concetta Irace, Claudio Cortese, Elio Fiaschi, et al.
Clinical Hemorheology and Microcirculation
|
January 14, 2012
Lack of association between systolic blood pressure and blood viscosity in normotensive healthy subjects
Concetta Irace, Claudio Carallo, Faustina Scavelli, et al.
Diabetes Research and Clinical Practice
|
January 26, 2024
Elevated blood flow in people with type 1 and type 2 diabetes
Antonio Cutruzzolà, Martina Parise, Pasquale Cozza, et al.
Computers in Biology and Medicine
|
March 4, 2026
Modeling strategies for CGM data: A scoping review of mechanistic, machine learning, and hybrid approaches in diabetes management
Nilde Fera, Anna Procopio, Paolo Zaffino, et al.
Page
of 10