Results 111 to 120 of about 2,069,350 (347)

Quasi-Model-Based Control of Type 1 Diabetes Mellitus

open access: yesJournal of Electrical and Computer Engineering, 2011
Glucose-insulin models appeared in the literature are varying in complexity. Hence, their use in control theory is not trivial. The paper presents an optimal controller design framework to investigate the type 1 diabetes from control theory point of view.
András György   +5 more
doaj   +1 more source

Non‐Invasive Diagnosis of Hypertrophic Cardiomyopathy by Breath

open access: yesAdvanced Sensor Research, EarlyView.
The use of sensor technologies for the diagnosis of hypertrophic cardiomyopathy (HCM) by identification of volatile organic compounds (VOCs) in breath samples. By combining gas chromatography‐mass spectrometry (GC‐MS) and electronic nose (eNose) platforms, specific VOC patterns associated with HCM are detected and analyzed.
Yael Hershkovitz‐Pollak   +5 more
wiley   +1 more source

Cardiovascular Risk in Type 1 Diabetes Mellitus

open access: yesDiabetes Therapy, 2019
Type 1 diabetes mellitus (T1DM) is associated with premature cardiovascular disease (CVD), but the underlying mechanisms remain poorly understood. The American Diabetes Association and the European Association for the Study of Diabetes recently updated ...
J. Schofield, J. Ho, H. Soran
semanticscholar   +1 more source

Demographic, breast-feeding, and nutritional trends among children with type 1 diabetes mellitus

open access: yesIndian Journal of Endocrinology and Metabolism, 2011
Background: The pathogenesis of type 1 diabetes mellitus (T1DM) requires a genetic predisposition to particular environmental triggers that may activate mechanisms leading to progressive loss of pancreatic beta cells. Aims: We tried to compare the impact
Manash P Baruah   +2 more
doaj   +1 more source

Potential biomarker in serum for predicting susceptibility to type 2 diabetes mellitus: Free fatty acid 22:6

open access: yesJournal of Diabetes Investigation, 2021
Aims/Introduction Type 2 diabetes mellitus is closely linked to increased levels of free fatty acids (FFAs) in obese individuals, although which FFA is most associated with type 2 diabetes mellitus is unclear.
Yinghua Ma   +13 more
doaj   +1 more source

Accelerated Bone Healing via Electrical Stimulation

open access: yesAdvanced Science, EarlyView.
Electrical stimulation significantly impacts bone healing by enhancing osteoblast proliferation, differentiation, and vascularization through calmodulin/calcineurin/NFAT signaling. It also boosts macrophage function and cell migration, presenting a comprehensive approach to accelerating bone repair.
Jianfeng Sun   +4 more
wiley   +1 more source

Modeling and Optimization of Insulin Injection for Type-1 Diabetes Mellitus Management [PDF]

open access: yes
Diabetes mellitus is a global health crisis characterized by poor blood sugar regulation, impacting millions of people worldwide and leading to severe complications and mortality. Although Type 1 Diabetes Mellitus (T1DM) has a lower number of cases compared to other forms of diabetes, it is often diagnosed at a young age and requires lifelong exogenous
arxiv   +1 more source

Enteroviruses and type 1 diabetes mellitus

open access: yesBiomedicine & Pharmacotherapy, 2003
Despite decades of research, the etiology of type 1 diabetes mellitus (DM) is unknown. Several risk factors have been associated with type 1 DM, including viral infections, genetic predisposition, nutritional factors, and chemicals. Several investigators hypothesize that the etiologies of type 1 DM result from a complex interaction of genetic and ...
Harry W. Haverkos   +3 more
openaire   +3 more sources

PREVENTION AND PREDICTION IN DIABETES MELLITUS TYPE 1

open access: yesRevista de la Sociedad Argentina de Diabetes, 2020
Type 1 diabetes mellitus (DM1) is a disease characterized by the autoimmune destruction of the beta cell mediated by the attack of cytotoxic T lymphocytes and in which the autoantibodies (GADA, IAA, AI2A and ZnT8A) are markers of it.
Alejandro De Dios
doaj   +1 more source

Development and Validation of Machine Learning‐Based Marker for Early Detection and Prognosis Stratification of Nonalcoholic Fatty Liver Disease

open access: yesAdvanced Science, EarlyView.
This study constructs a stacked multimodal machine learning model for nonalcoholic fattly liver disease (NAFLD) by integrating genetic and clinical features, and synthesize an in‐silico quantitative marker (ISNLD) that enables personalized risk stratification for intrahepatic and extrahepatic outcomes of high‐risk individuals of NAFLD.
Lushan Xiao   +14 more
wiley   +1 more source

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