
Ettore LanzaroneUniversity of Bergamo | UNIBG · DIGIP
Ettore Lanzarone
PhD
About
138
Publications
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Introduction
Ettore Lanzarone is an Associate Professor at the Department of Management, Information and Production Engineering of the University of Bergamo, Dalmine (BG), Italy.
He is also a research collaborator at the Institute for Applied Mathematics and Information Technology “E. Magenes” (IMATI) of the National Research Council of Italy (CNR), Milan, Italy, where he worked as a researcher from 2011 to 2020.
Additional affiliations
September 2012 - present
November 2011 - present
March 2008 - November 2011
Education
March 2005 - February 2008
September 1998 - April 2004
Publications
Publications (138)
Peripheral vasomotion, interstitial liquid exchange, and cardiovascular system behaviour are investigated by means of a lumped parameter model of the systemic and peripheral circulation, from the aortic valve to the venules. This modelling work aims at combining arterial tree hemodynamics description, active peripheral flow regulation, and fluid ex...
Home Care includes medical, paramedical and social services which are delivered to patients at their domicile rather than in hospital. Managing human and material resources in Home Care services is a difficult task, as the provider has to deal with peculiar constraints (e.g., the continuity of care, which imposes that a patient is always cared for...
In recent years, home care (HC) service systems have been developed as alternatives to conventional hospitalization. Many resources are involved in delivering HC service, including different categories of human resources, support staff, and material resources. One of the main issues encountered while planning human HC resources is the patient assig...
A major challenge in home health care services is to ensure continuity of care despite uncertain patients’ evolutions. Providers must face the trade-off between reassigning patients to balance workloads and keeping the assignments to guarantee continuity of care. In practice, patients with weaker continuity requirements are reassigned. However, thi...
Background: The liver is one of the most common sites for the spread of pancreatic ductal adenocarcinoma (PDAC) cells, with metastases present in about 80% of patients. Clinical and preclinical studies of PDAC require quantification of the liver’s metastatic burden from several acquired images, which can benefit from automatic image segmentation to...
BACKGROUND
Invasive exercise right heart catheterization is a gold standard in diagnosing heart failure with preserved ejection fraction (HFpEF). Body positions during the test influence hemodynamics. However, the discrepancy in HFpEF diagnosis between exercise testing in supine versus upright position is unknown.
METHODS
We conducted a 2-center p...
The radiomic analysis of the tissue surrounding colorectal liver metastases (CRLM) enhances the prediction accuracy of pathology data and survival. We explored the variation of the textural features in the peritumoural tissue as the distance from CRLM increases. We considered patients with hypodense CRLMs >10 mm and high-quality computed tomography...
Disruptions to personnel rosters caused by absenteeism often necessitate last-minute adjustments to the employees' working hours. A common strategy to mitigate the impact of such changes is to assign employees to reserve shifts: special on-call duties during which an employee can be called in to cover for an absent employee. To maximize roster robu...
Background
Automatic segmentation techniques based on Convolutional Neural Networks (CNNs) are widely adopted to automatically identify any structure of interest from a medical image, as they are not time consuming and not subject to high intra‐ and inter‐operator variability. However, the adoption of these approaches in clinical practice is slowed...
Blood donations are crucial for the health system. We consider the problem of planning blood donation services, where the donors are reached at home. The scope is to minimize the penalty for the unserved donors, while guaranteeing that the available resources for implementing the service are not exceeded and that the appointment preferences of the...
Background. We conducted a cost and effectiveness analysis comparing robotic vs minimally invasive mitral valve surgery (RMVS vs MIMVS). The aim was to assess whether the higher cost of the robotic technique could be mitigated by the clinical advantages. Methods. We included 118 patients undergoing RMVS and 233 patients undergoing MIMVS. Initially,...
Motivated by the problem of accurately predicting gap times between successive blood donations, we present here a general class of Bayesian nonparametric models for clustering. These models allow for the prediction of new recurrences, accommodating covariate information that describes the personal characteristics of the sample individuals. We intro...
In Western countries, the so-called Blood Donation Supply Chain (BDSC) provides blood units to several health services. Its first echelon is the collection of unit from donors, which requires a careful management because an unbalanced supply of units to the rest of the chain could trigger alternating periods of blood shortage and wastage. However,...
Donor profiling and donation prediction are two key tasks that any blood collection center must face. Profiling is important to target promotion campaigns, recruiting donors who will guarantee a high production of blood units over time. Predicting the future arrivals of donors allows to size the collection center properly and to provide reliable in...
Performance efficiency in cognitive tasks is a combination of effectiveness, that is, accuracy, and cognitive effort. Resting-state and task-related autonomic and cortical activity, together with psychological variables, may represent effective predictors of performance efficiency. This study aimed to investigate the impact of these variables in th...
Fairness and balancing-related metrics can be modelled in several ways, and no single definition of fairness is universally accepted. From the application point of view, fairness is a rather common objective in problems where a decision maker needs to allocate resources/workloads to agents. This is also a rather common requirement in the health car...
The EURO Working Group on Operational Research Applied to Health Services (ORAHS) provides a network for researchers involved in the application of systematic and quantitative analysis in the planning and management of the health services sector.KeywordsOperational researchHealth-careOptimizationDecision scienceMachine learning
Background and objective Renewed interest in robot-assisted cardiac procedures has been demonstrated by several studies. However, concerns have been raised about the need for a long and complex learning curve. In addition, the COVID-19 pandemic in 2020 might have affected the learning curve of these procedures. In this study, we investigated the im...
Aims
The HFA‐PEFF algorithm (Heart Failure Association‐Pre‐test assessment, Echocardiography and natriuretic peptide score, Functional testing in cases of uncertainty, Final aetiology) is a three‐step algorithm to diagnose heart failure with preserved ejection fraction (HFpEF). It provides a three‐level likelihood of HFpEF: low (score < 2), interme...
This paper presents an application of Emotional Text Mining (ETM) to blood donation culture. We collected all the articles from two important Italian newspapers published from January 2016 to March 2021, regarding blood donation. The ETM analysis of the collected corpus identified a great variety of keywords characterizing the Italian culture of bl...
Background:
Blood collection centers can take advantage of the huge amount of data collected on donors over the years to predict and detect early the onset of several diseases, However, dedicated tools are needed to carry out these analyses.
Objectives:
This work develops a tool that combines available data with predictive tools to provide alert...
Background
Arteriovenous fistula (AVF) is the preferred vascular access (VA) for hemodialysis, but it is associated with high non-maturation and failure rates. Predicting patient-specific AVF maturation and postoperative changes in blood flow volumes (BFVs) and vessel diameters is of fundamental importance to support the choice of optimal AVF locat...
Nowadays, the growing interest in industry for enhancing manufacturing processes sustainability is a major trend. One of the most supported strategies to increase the energy-efficiency of manufacturing activities is the control of machine state towards the optimum trade-off between production rate and energy demand. This method is referred to as en...
The surgical treatment of complex intracranial aneurysms is still one of the main challenges for neurosurgeons worldwide. Computational fluid dynamics (CFD) could be used to predict different postoperative
flow scenarios prior to surgery, in order to expand neurosurgeons’ evaluations and guide surgical decision-making. However, this possibility has...
Motivated by the problem of accurately predicting gap times between successive blood donations, we present here a general class of Bayesian nonparametric models for clustering. These models allow for prediction of new recurrences, accommodating covariate information that describes the personal characteristics of the sample individuals. We introduce...
The energy saving topic is becoming increasingly important in industry: environmental impact and sustainability of processes are, nowadays, considered critical factors for this field. Manufacturing processes sustainability can be improved by controlling machine state with energy-efficient control policies that switch off/on the device. This approac...
An accurate non-invasive evaluation of the mechanical properties of the vessel wall is important for a variety of screening protocols and surgical treatments. In this work, we focused on a section of the Pulmonary Artery (PA), and developed a patient-specific approach to estimate its stiffness in terms of the Young’s modulus along the circumferenti...
Background:
Effective communication is a key factor in healthcare, essential for improving process efficiency and quality of care. This is particularly true in new services, e.g., the 3D printing service inside the hospital.
Objectives:
A web platform, called 3DSCT, has been developed to act as an interface between the three categories of operat...
Autosomal Dominant Polycystic Kidney Disease is a genetic disease that causes uncontrolled growth of fluid-filled cysts in the kidney. Kidney enlargement resulting from the expansion of cysts is continuous and often associated with decreased renal function and kidney failure. Mouse and rat models are necessary to discover new drugs able to halt the...
Background
Spinal cord ischemia (SCI) is still a feared complication for patients suffering from thoracoabdominal aortic aneurysm (TAAA) who undergo endovascular treatment. The aims of this work are to review the available literature on different reperfusion methods of the aneurysm sac, and to analyze whether the different reperfusion methods, also...
Nowadays, manufacturing industries are increasing their interest in the energy-efficiency topic, mostly due to the major environmental impact of machining activities. Manufacturing processes sustainability can be improved by controlling machine state with energy-efficient control (EEC) policies that switch off/on the device. Recently, research demo...
The Intra-Voxel Incoherent Motion (IVIM) model allows to estimate water diffusion and perfusion-related coefficients in biological tissues using diffusion weighted MR images. Among the available approaches to fit the IVIM bi-exponential decay, a segmented Bayesian algorithm with a Conditional Auto-Regressive (CAR) prior spatial regularization has b...
Home health care (HHC) is a very popular service that plays an important role in reducing hospitalization costs and improving the quality of life for patients. Human resource planning is one of the most important processes in HHC facilities, and service providers must deal with several operational problems, e.g., the assignment of nurses to patient...
Structural topology optimization (STO) is usually treated as a constrained minimization problem, which is iteratively addressed by solving the equilibrium equations for the problem under consideration. To reduce the computational effort, several reduced basis approaches that solve the equilibrium equations in a reduced space have been proposed. In...
A fair prediction of energy consumption in machine tools is an essential requirement to optimize work cycles, processes and equipments also in the light of energy efficiency, as promoted by Industry 4.0. In this work, we focus on the energy behavior of machinery controlled rotary axes commanded by brushless electric motors, and propose a framework...
Parameter uncertainty is common to several optimization problems, especially in health care where patients’ conditions and service times are highly uncertain. Moreover, in Home Health Care services, where patients are treated over a long time horizon, their clinical condition may change and result in uncertain but also highly time-correlated servic...
Energy efficiency is becoming a key subject in manufacturing, especially if related to the major environmental impact of machining activities. Nowadays, great research efforts are performed to find new methodologies to improve sustainability of manufacturing processes. Energy consumption can be lowered controlling machine state during idle periods....
Background and objectives:
Healthcare systems require effective and efficient blood donation supply chains to provide an adequate amount of whole blood and blood components to hospitals and transfusion centres. However, some crucial steps of the chain, for example blood collection, are not adequately studied in the literature. This work analyses t...
A new scheduling problem arising in the home care context is addressed, whose novelty with respect to the literature lies in the way overtime is paid. In this problem, some clients are willing to pay a higher fee to cover the additional overtime cost, if such overtime is incurred because a caregiver works extra time with the client to preserve cont...
Objectives
We analyze the cardiovascular risk factors in patients undergoing screening for Isolated Iliac Aneurysm (IIA) and Abdominal Aortic Aneurysm (AAA), and propose a logistic regression model to indicate patients at risk of IIA and/or AAA.
Methods
A screening program was carried out to identify the presence of aneurysm based on Duplex scan e...
Home Health Care (HHC) human resource management is a complex process. Moreover, as patients are assisted for a long time, their demand for care evolves in terms of type and frequency of visits. Under continuity of care, this uncertain evolution must be considered even when scheduling the visits in the short-term, as the corresponding operator-to-p...
Careful planning of an ambulance service is critical to reduce response times to emergency calls and make assistance more effective. However, the demand for emergency services is highly variable, and good prediction of the number of future emergency calls, and their spatial and temporal distribution, is challenging. In this work, we propose a Bayes...
Blood is a key resource in all health care systems, usually drawn from voluntary donors. We focus on the operations management in blood collection centers, which is a key step to guarantee an adequate blood supply and a good quality of service to donors, by addressing the so-called Blood Donation Appointment Scheduling problem. Its goal is to emplo...
Home care (HC) services represent an effective solution to face the health issues related to population aging. However, several scheduling problems arise in HC, and the providers must make several scheduling and routing decisions, e.g., the assignment of caregivers to clients, in order to balance operating costs and client satisfaction. Starting fr...
Home health care (HHC) consists of care services provided to patients at their domicile rather than in hospitals or other health facilities. HHC human resources are largely studied in the optimization literature, to improve service quality and efficiency. However, the growth of complex HHC services that include the delivery of devices and disposabl...
Computational and mathematical models are a must for the
in silico
analysis or design of Gene Regulatory Networks (GRN)as they offer a theoretical context to deeply address biological regulation. We have proposed a framework where models of network dynamics are expressed through a class of nonlinear and temporal multiscale Ordinary Differential E...
We consider the management of a blood collection center, which includes the features of both a production system and a service provider. In particular, we analyze the scheduling of donors and the related appointment system, addressing the so-called Blood Donation Appointment Scheduling (BDAS) problem. From the production system viewpoint, the requi...
This study addresses the Ambulance Location and Dispatching Problem (ALDP), which jointly determines the location of available ambulances and their dispatching policy. The latter takes the form of a dispatching list that defines, for each zone of the covered territory, an ordered list providing a hierarchy of ambulances to be chosen whenever a call...
This book demonstrates how optimization, system engineering and statistics can help to improve health care provision and health systems. It gathers the proceedings of the Fourth International Conference on Health Care Systems Engineering (HCSE 2019), which was held in Montreal, Canada, from May 30 to June 1, 2019. The conference provided an opportu...
The Intra‐Voxel Incoherent Motion (IVIM) model is largely adopted to estimate slow and fast diffusion coefficients of water molecules in biological tissues, which are used in cancer applications. The most reported fitting approach is a voxel‐wise segmented non‐linear least square, whereas Bayesian approaches with a direct fit, also considering spat...
The Intra-Voxel Incoherent Motion (IVIM) model is largely adopted to estimate slow and fast diffusion parameters of water molecules in biological tissues, which are used as biomarkers for different diseases. However, the standard approach to obtain the maps of these parameters is based on a voxel-by-voxel estimation and neglects the spatial correla...
Several deterministic models have been proposed in the literature to solve the machine loading problem (MLP), which considers a set of product types to be produced on a set of machines using a set of tool types, and determines the quantity of each product type to be produced at each time period and the corresponding machine tool loading configurati...
Electrospinning is a versatile and promising technology for the production of polymer-based nanofibres. Composite nanofibres suitable for filtration of air and water have been developed by merging biopolymer processing and sol-gel techniques using electrospinning technology. A fine control of large-scale nanofibre formation is required to achieve r...
The fabrication of personalised prostheses tailored on each patient is one of the major needs and key issues for the future of several surgical specialties. Moreover, the production of patient-specific anatomo-functional models for preoperative planning is an important requirement in the presence of tailored prostheses, as also the surgical treatme...
Sustainable circular economy is introducing new industrial challenges, including recycling, to move from the cradle-to-grave paradigm to the innovative cradle-to-cradle concept. The core of several recycling systems consists of mechanical comminution, which aims at producing homogeneous mixtures of highly liberated particles. However, the complexit...
We design and manufacture a silicone model of the human aorta, able to mimic both the geometrical and the mechanical properties of physiological individuals, with a specific focus on reproducing the compliance. In fact, while the models available in the literature exhibit an unrealistic compliant behavior, though they are detailed from the geometri...
[This corrects the article DOI: 10.1371/journal.pone.0186080.].
Computational and mathematical models have significantly contributed to the rapid progress in the study of gene regulatory networks (GRN), but researchers still lack a reliable model-based framework for computer-aided analysis and design. Such tool should both reveal the relation between network structure and dynamics and find parameter values and/...
Blood is fundamental in several care treatments and surgeries, and plays a crucial role in the health care system. It is a limited resource, as it can be produced only by donors and its shelf life is short; thus, the blood donation (BD) system aims at providing adequate supply of blood units to transfusion centers and hospitals. An effective collec...
Hemodialysis is the most common therapy to treat renal insufficiency. However, notwithstanding the recent improvements, hemodialysis is still associated with a non-negligible rate of comorbidities, which could be reduced by customizing the treatment. Many differential compartment models have been developed to describe the mass balance of blood elec...
Structural Topology Optimization optimizes the mechanical performance of a structure while satisfying some functional constraints. Nearly all approaches proposed in the literature are iterative, and the optimal solution is found by repeatedly solving a Finite Elements Analysis (FEA). It is thus clear that the bottleneck is the high computational ef...
Three stakeholders are involved in health care services: patients, operators and service provider managers. They usually have conflicting needs: patients aim at obtaining good quality of service, operators require fair workloads, and managers try to reduce costs. Moreover, a fourth stakeholder, i.e., the contracting authority, pays for the service...
Many optimisation problems arise in managing the Blood Donation (BD) supply chain. Most of them have been addressed in the literature, while other problems, e.g. donation scheduling, have not been sufficiently addressed so far. However, blood collection from donors may have a disruptive impact on the entire BD supply chain if not properly managed....
Biomedical tests play a crucial role in helping physicians to make accurate diagnoses. To perform these tests, thousands of samples are daily transported from several healthcare facilities, where they are collected from patients, to laboratories, where they are analyzed. We consider the challenging Biomedical Sample Transportation Problem (BSTP), w...
Emergency Medical Services (EMS) are responsible of providing medical assistance to any person who requires it in case of emergency, with the main goal of reducing the response time. To do so, several management strategies have been proposed, e.g., districting and preassigned dispatching lists. However, districts are often a priori defined at the s...
The use of advanced optimization-based techniques will be a fundamental step towards performance enhancement of flexible manufacturing plants. However, the mixed integer nature of the resulting optimization problems and the associated computational issues can represent a bottleneck and a severe limitation to their diffusion. This paper describes th...
The Machine Loading Problem (MLP) refers to the allocation of operative tasks and tools to machines for the production of parts. Since the uncertainty of processing times might affect the quality of the solution, this paper proposes a robust formulation of an MLP, based on the cardinality-constrained approach, to evaluate the optimal solution in th...
Goal:
Ascending aorta aneurysms represent a severe life-threatening condition associated with asymptomatic risk of rupture. Prediction of aneurysm evolution and rupture is one of the hottest investigation topics in cardiovascular science, and the decision on when and whether to surgically operate is still an open question. We propose an approach f...