A5091064880- Coronary Interventions and Diagnostics
- Elasticity and Material Modeling
- Dementia and Cognitive Impairment Research
- Cardiac Valve Diseases and Treatments
- Cardiac Imaging and Diagnostics
- Behavioral Health and Interventions
- Aging and Gerontology Research
- Cardiac and Coronary Surgery Techniques
- Aortic aneurysm repair treatments
- Cardiovascular Health and Disease Prevention
- Acute Myocardial Infarction Research
- Anomaly Detection Techniques and Applications
- Total Knee Arthroplasty Outcomes
- Atherosclerosis and Cardiovascular Diseases
- Cardiovascular Function and Risk Factors
- Platelet Disorders and Treatments
- Diet and metabolism studies
- Technology Use by Older Adults
- Machine Learning in Healthcare
- Context-Aware Activity Recognition Systems
- Advancements in Photolithography Techniques
- Orthopedic Infections and Treatments
- Nutritional Studies and Diet
- Orthopaedic implants and arthroplasty
- Pancreatic function and diabetes
Foundation for Research and Technology Hellas
2023-2024
University of Ioannina
2020-2024
FORTH Institute of Molecular Biology and Biotechnology
2020
Abstract Aims Coronary artery disease (CAD) is a highly prevalent with modifiable risk factors. In patients suspected obstructive CAD, evaluating the pre-test probability model crucial for diagnosis, although its accuracy remains controversial. Machine learning (ML) predictive models can help clinicians detect CAD early and improve outcomes. This study aimed to identify early-stage using ML in conjunction panel of clinical laboratory tests. Methods results The sample included 3316 enrolled...
There is accumulating evidence that addressing modifiable risk and protective factors has an impact on dementia rates. Insight into the public's perspectives reduction needed to inform future individual-level interventions public health approaches.This study explores publics' openness towards willingness changing lifestyle behavior reduce for dementia.Using a screening questionnaire, participants were purposively selected based behaviors are associated with risk. One-on-one interviews used...
Abstract Background The Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) multimodal lifestyle intervention yielded cognitive other health benefits in older adults at risk of decline. two-year multinational randomized controlled LETHE trial evaluates the feasibility a digitally supported, adapted FINGER among at-risk adults. Technology is used complement in-person activities, streamline delivery, personalize recommendations, collect digital...
Background: Drug-coated balloons have been used as a non-stenting treatment in coronary and peripheral artery disease. Until recently, only sirolimus- paclitaxel-coated investigated clinical trials. We evaluated the safety efficacy of an innovative everolimus-coated balloon (ECB) swine model. Methods: thirty-two arteries were prepared through dilatation with non-coated angioplasty closed-chest During period 90 days, following four groups (four animals per group, two animal) compared for...
An emerging area in data science that has lately gained attention is the virtual population (VP) and synthetic generation. This field potential to significantly affect healthcare industry by providing a means augment clinical research databases have shortage of subjects. The current study provides comparative analysis five distinct approaches for creating populations from real patient data. set utilized analyses involved collected among patients scheduled elective coronary artery bypass...
In this work, a methodology for the in-silico evaluation of drug eluting stents (DES) is presented. A stent model developed by Rontis S.A. has been employed. For modeling purposes two different parts have considered: metal core and coating. arterial models, we used animal specific imaging data realistic geometries were reconstructed which as input to drug-delivery model. More specifically, optical coherence tomography (OCT) from coney iliac segments 3D reconstructed, preprocessed was...
Background: Unhealthy behavior increases the risk of dementia. Various socio-cognitive determinants influence whether individuals persist in or alter these unhealthy behaviors. Objective: This study identifies relevant associated to dementia risk. Methods: 4,104 Dutch (40–79 years) completed a screening questionnaire exploring lifestyle behaviors with Subsequently, 3,065 respondents who engaged one more follow-up investigating Cross-tables were used assess accuracy participants’ perceptions...
This study examines the drug elution process of a novel Everolimus Coated Balloon (ECB) that features polymer mixture consisting cellulose derivatives and accelerators, as pharmaceutical component, based on commercially available PTCA balloon-catheter system. In this analysis, we utilized in silico postdeployment results comprising three distinct datasets healthy porcine arteries undergoing with (a) Sirolimus, (b) Low-dose Everolimus, (c) High-dose Everolimus. We developed computational...
Atherosclerosis, a chronic inflammatory disease linked to heart attacks and strokes, stimulates the formation of atherosclerotic plaques within arterial vessels, leading reduced blood flow heart. Drug-Eluting Stents (DES) aim expand stenosis restore while mitigating neo-intimal thickening through controlled drug release. In silico modeling has been widely used as reliable means predict evaluate stent performance accurately. This in study investigates efficacy two types (Bare Metal Stent-...
The aim of this work is to investigate the dynamic behavior retinoic acid concentration within coronary artery, examining its distribution both on stent and lumen arterial wall. study aims elucidate effect various factors, including variations in stent, applied blood flow velocity as boundary condition lumen, polymer layer porosity, wall porosity drug permeability. Through a comprehensive analysis these research seeks advance understanding how behaves complex environment offering valuable...
This paper presents the workflow for creating a 3D finite element model of cementless femur-implant when in single leg-stance, using state-of-the-art computer-aided design software and solver. The consists two geometries cortical trabecular bone tissue femur bone, stem femoral head commercial implant. Each part is assumed to behave as linear isotropic material. Although relatively simplistic its form, presented can capture area higher Von Misses stress concentration compared other models literature.
Atherosclerosis is a chronic inflammatory disease associated with heart attack and stroke. It causes the growth of atherosclerotic plaques inside arterial vessels, which in turn results to reduction blood flow different organs. Drug-Eluting Stents (DES) are mesh-like wires, carrying pharmaceutical coating, designed dilate support vessel, restore through controlled local drug delivery inhibit neo-intimal thickening. In silico modeling an efficient method accurately predicting assessing...
This case-study examines the release time of everolimus drug from an experimental biodegrading coating a Rontis corp. eluting stent (DES). The controlled is achieved by degradation coating, which consists mixture polylactic co-glycolic acid (PLGA) and (55:45). In our analysis, we used outcome another study, contains geometry in-silico deployed in 3D reconstructed coney arterial segment. Using this as input, was simulated using computational model that includes: i) modeling blood flow...
In this work we present a novel method for the prediction and generation of atherosclerotic plaques. This is performed in two-step approach, by employing first multilevel computational plaque growth model second correlation between model's results 3D reconstructed follow-up particular, computer tomography coronary angiography (CTCA) data blood tests were collected from patients at two time points. Using baseline data, simulated using multi-level which includes: i) modeling flow dynamics, ii)...
Atherosclerosis is one of the most mortal diseases that affects arterial vessels, due to accumulation plaque, altering hemodynamic environment artery by preventing sufficient delivery blood other organs. Stents are expandable tubular wires, used as a treatment option. In silico studies have been extensively exploited towards examining performance such devices employing Finite Element Modeling. This study models crimping stage during stent implantation examine effect inclusion pre-stress...
Dementia is the main cause of disability in elderly populations. It has been shown that risk factors dementia are a mixture pathological, lifestyle and heritable factors, with some those being provably modifiable. Early diagnosis approaches to slow down its evolution currently most prominent management methodologies due lack cure. For reason, plethora home-based assistive technologies for do exist, them focusing on improvement memory thinking. The objective LETHE prevention whole spectrum...
Coronary artery disease (CAD) is a chronic associated with high mortality and morbidity. Although treatment drug-eluting stents the most frequent interventional approach for coronary disease, drug-coated balloons (DCBs) constitute an innovative alternative, especially in presence of certain anatomical conditions local vasculature. DCBs allow fast homogenous transfer drugs into arterial wall, during balloon inflation. Their use has been established treating in-stent restenosis caused by stent...
Cardiovascular disease (CVD) and especially atherosclerosis are chronic inflammatory diseases which cause the atherosclerotic plaque growth in arterial vessels blood flow reduction. Stents have revolutionized treatment of this to a great extent by restoring vessel. The present study investigates performance after stent implantation patient-specific coronary artery demonstrates effect using Newtonian vs. non-Newtonian fluid models distribution endothelial shear stress. In particular,...