Bogdan Milicevic

Bogdan Milicevic
University of Kragujevac

Doctor of Engineering

About

51
Publications
2,403
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
171
Citations

Publications

Publications (51)
Article
Full-text available
Modern database management systems (DBMS), primarily designed as general-purpose systems, face the challenging task of efficiently handling data from diverse sources for both analytical services and online transactional processing (OLTP). The volume of data has grown significantly, with distributions ranging from linear to highly skewed, sometimes...
Article
Full-text available
Background/Objectives: Hypertrophic cardiomyopathy (HCM) is a common heart disorder characterized by the thickening of the heart muscle, particularly in the left ventricle, which increases the risk of cardiac complications. This study aims to analyze the expression of apoptosis-regulating genes (CASP8, CASP9, CASP3, BAX, and BCL2) in blood samples...
Article
Full-text available
Blood vessels are essential for maintaining tumor growth, progression, and metastasis, yet the tumor vasculature is under a constant state of remodeling. Since the tumor vasculature is an attractive therapeutic target, there is a need to predict the dynamic changes in intratumoral fluid pressure and velocity that occur across the tumor microenviron...
Chapter
In this chapter, we explore the development of surrogate models for left ventricle (LV) biomechanical simulations, focusing on the Huxley-type muscle model. The Huxley model, known for its ability to simulate nonuniform and unstable contractions, has been hindered by its substantial computational requirements. To overcome this limitation, we presen...
Preprint
Full-text available
Blood vessels are essential for maintaining tumor growth, progression, and metastasis, yet the tumor vasculature is under a constant state of remodeling. Since the tumor vasculature is an attractive therapeutic target, there is a need to predict the dynamic changes in intratumoral fluid pressure and velocity which occur across the tumor microenviro...
Article
Electrophysiological models play a crucial role in understanding the complex dynamics of the heart, particularly the left ventricle. These models provide insights into the mechanisms underlying cardiac function and are essential for developing treatments for cardiac diseases. This paper presents an overview of various electrophysiological models us...
Conference Paper
Full-text available
Coronary artery disease represents one of the most significant health burdens worldwide. As the onset of the disease is multifactorial in nature, physicians are often struggling with determining the rate of progression of the arterial narrowing caused by buildup of plaque. Computational models have brought upon a significant shift in the paradigm a...
Conference Paper
Analysis of myocardial work is essential in determination of left ventricle ejection fraction (LVEF) and non-invasive assessment of different types of cardiomyopathies. Two major classifications of cardiomyopathy are: hypertrophic (HCM) and dilated (DCM) cardiomyopathy. Although there are clinical improvements in cardiomyopathy risk assessment, pat...
Article
Full-text available
The biomechanical and biochemical processes in the biological systems of living organisms are extremely complex. Advances in understanding these processes are mainly achieved by laboratory and clinical investigations, but in recent decades they are supported by computational modeling. Besides enormous efforts and achievements in this modeling, ther...
Article
When simulating various physical phenomena, the law of the phenomenon is often known in advance, in the form of a partial differential equation, that needs to be solved. Numerical methods, such as the finite element method, have been developed over decades, and these methods approximate the solution to the partial differential equation. However, th...
Article
Full-text available
In this paper, we present the abilities of an in silico platform used to simulate the effects of different drugs on heartbeat cycle performance. The platform is based on a finite element modelling approach with the fluid–solid interaction implemented using a loose coupling procedure. Active mechanical stresses are calculated using the Hunter excita...
Article
Full-text available
Biophysical muscle models, also known as Huxley-type models, are appropriate for simulating non-uniform and unsteady contractions. Large-scale simulations can be more challenging to use because this type of model can be computationally intensive. The method of characteristics is typically used to solve Huxley’s muscle equation, which describes the...
Article
PurposeThe prostate-specific antigen (PSA) density (PSAD) in prostate cancer (PCa) detection has limited applicability and is probably caused by moderate accuracy. The purpose of this study was to create a machine learning (ML) PSAD model that incorporates PSAD predictors for forecasting clinically significant (cs) prostate cancer (PCa) probability...
Article
Full-text available
Background and objective: Predicting the long-term expansion and remodeling of the left ventricle in patients is challenging task but it has the potential to be clinically very useful. Methods: In our study, we present machine learning models based on random forests, gradient boosting, and neural networks, used to track cardiac hypertrophy. We c...
Article
In our paper, we simulated cardiac hypertrophy with the use of shell elements in parametric and echocardiography-based left ventricle (LV) models. The hypertrophy has an impact on the change in the wall thickness, displacement field and the overall functioning of the heart. We computed both eccentric and concentric hypertrophy effects and tracked c...
Article
Full-text available
Cardiomyopathy is associated with structural and functional abnormalities of the ventricular myocardium and can be classified in two major groups: hypertrophic (HCM) and dilated (DCM) cardiomyopathy. Computational modeling and drug design approaches can speed up the drug discovery and significantly reduce expenses aiming to improve the treatment of...
Conference Paper
Cardiomyopathy or structural and functional abnormalities of the ventricular myocardium is a common cardiac disease. It can be commonly classified as hypertrophic (HCM) and dilated (DCM) cardiomyopathy. A computational model was developed to simulate drug effects on heart behavior during the heartbeat cycle. The model includes parametric left ventr...
Conference Paper
Due to its great temporal resolution and quick acquisition periods, two-dimensional echocardiography, or shorter 2D echo, is the most used non-invasive approach for assessing heart disease. It offers a grayscale image that anatomical details can be extracted from to evaluate heart functioning. The initial stage in quantifying cardiac function in 2D...
Article
PurposeNumerous strategies and diagnostic tests were proposed in patients suspected of clinically significant (cs) prostate cancer (PCa) after an initial negative prostate biopsy. The study aimed to create a Random Forest (RF) classifier for predicting the probability of csPCa in specimens taken by the repeated systematic prostate biopsy (SBx), and...
Article
Background and objective : In silico clinical trials are the future of medicine and virtual testing and simulation are the future of medical engineering. The use of a computational platform can reduce costs and time required for developing new models of medical devices and drugs. The computational platform, which is one of the main results of the S...
Article
Full-text available
Stents made by different manufacturers must meet the requirements of standard in vitro mechanical tests performed under different physiological conditions in order to be validated. In addition to in vitro research, there is a need for in silico numerical simulations that can help during the stent prototyping phase. In silico simulations have the ab...
Article
The computational requirements of the Huxley-type muscle models are substantially higher than those of Hill-type models, making large-scale simulations impractical or even impossible to use. We constructed a data-driven surrogate model that operates similarly to the original Huxley muscle model but consumes less computational time and memory to ena...
Conference Paper
Clinicians can use biomechanical simulations of cardiac functioning to evaluate various real and fictional events. Our present understanding of the molecular processes behind muscle contraction has inspired Huxley-like muscle models. Huxley-type muscle models, unlike Hill-type muscle models, are capable of modeling non-uniform and unstable contract...
Article
Development of plaques compositions caused by atherosclerosis inside of coronary arteries is known as coronary artery disease. Its treatment includes the possibility of stent deployment through operation called percutaneous transluminal coronary angioplasty. In this procedure stent is delivered using a balloon catheter and then inserted across the...
Conference Paper
Biophysical muscle models, often called Huxley-type models, are based on the underlying physiology of muscles, making them suitable for modeling non-uniform and unsteady contractions. This kind of model can be computationally intensive, which makes the usage of large-scale simulations difficult. To enable more efficient usage of the Huxley muscle m...
Conference Paper
Cytoreductive surgery (CRS) combined with hyperthermic intraperitoneal chemotherapy (HIPEC) has become an essential part of the management of peritoneal carcinomatosis [1,2]. HIPEC is a cancer treatment procedure that involves filling the abdominal cavity with chemotherapy drugs that have been heated (also known as “hot chemotherapy”). HIPEC is per...
Article
Heart wall tissue plays a crucial role in living organisms by generating the mechanical force for blood flow. This tissue has a complex internal structure comprised mostly of muscle cells, in which biochemical energy is transformed into mechanical active stress under rhythmical electrical excitation. The overall heart functioning depends, among oth...
Article
Full-text available
Bioresorbable vascular scaffolds (BVS), made either from polymers or from metals, are promising materials for treating coronary artery disease through the processes of percutaneous transluminal coronary angioplasty. Despite the opinion that bioresorbable polymers are more promising for coronary stents, their long-term advantages over metallic alloy...
Article
Background The Prostate Biopsy Collaborative Group risk calculator (PBCG RC) has a moderate discriminatory capability. This study aimed to create automated machine learning (AutoML) PBCG RC for predicting the probability of any-grade and high-grade prostate cancer (PCa). Methods This retrospective, single-center study was carried out using the dat...
Article
Full-text available
Finite element method (FEM) has proved to be very successful in solving complex problems in engineering. In medicine, FEM found a special application in simulation of real problems and their solution while eliminating the need of learning from examples. In this paper, FEM was used with viscous fluid dynamics to simulate the function of left heart v...
Chapter
In this review we present the current stage and developments in the finite element modeling of mass transport by the smeared concept, introduced and conducted by the first author over several years. The basis of this methodology represents the formulation of a composite smeared finite element (CSFE). The CSFE consists of domains which can be at dif...
Chapter
In this paper we present application of recently developed composite smeared finite element (CSFE) to electrophysiology problems and ionic transport, mainly in heart tissue. The main advantage of the CSFE is that discrete transport, approximated by 1D finite elements within nervous system, can be transformed into a continuum framework. The governin...
Chapter
We have formulated orthotropic material model for human heart tissue based on experimental investigation of passive material properties of myocardium [1]. The Cauchy stress/stretch and shear stress/amount of shear relation curves are used, which are established experimentally under different loading conditions: biaxial extension and triaxial shear....
Article
Full-text available
Mass transport represents the most fundamental process in living organisms. It includes delivery of nutrients, oxygen, drugs, and other substances from the vascular system to tissue and transport of waste and other products from cells back to vascular and lymphatic network and organs. Furthermore, movement is achieved by mechanical forces generated...
Article
We couple a tumor growth model embedded in a microenvironment, with a bio distribution model able to simulate a whole organ. The growth model yields the evolution of tumor cell population, of the differential pressure between cell populations, of porosity of ECM, of consumption of nutrients due to tumor growth, of angiogenesis, and related growth f...
Article
Full-text available
Due to the relative ease of producing nanofibers with a core–shell structure, emulsion electrospinning has been investigated intensively in making nanofibrous drug delivery systems for controlled and sustained release. Predictions of drug release rates from the poly (d,l-lactic-co-glycolic acid) (PLGA) produced via emulsion electrospinning can be a...
Article
Modeling of drug transport within capillaries and tissue remains a challenge, especially in tumors and cancers where the capillary network exhibits extremely irregular geometry. Recently introduced Composite Smeared Finite Element (CSFE) provides a new methodology of modeling complex convective and diffusive transport in the capillary-tissue system...

Network

Cited By