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Elekidis AP, Georgiadis MC. Optimal contract selection for contract manufacturing organizations in the secondary pharmaceutical industry. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.107957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Győrgy R, Kostoglou M, Mantalaris A, Georgiadis MC. Development of a multi-scale model to simulate Mesenchymal Stem Cell osteogenic differentiation within hydrogels in a rotating wall bioreactor. Biochem Eng J 2022. [DOI: 10.1016/j.bej.2022.108566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
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Abstract
This work presents a novel framework to simultaneously address the optimal planning of COVID-19 vaccine supply chains and the optimal planning of daily vaccinations in the available vaccination centres. A new mixed integer linear programming (MILP) model is developed to generate optimal decisions regarding the transferred quantities between locations, the inventory profiles of central hubs and vaccination centres and the daily vaccination plans in the vaccination centres of the supply chain network. Specific COVID-19 characteristics, such as special cold storage technologies, limited shelf-life of mRNA vaccines in refrigerated conditions and demanding vaccination targets under extreme time pressure, are aptly modelled. The goal of the model is the minimization of total costs, including storage and transportation costs, costs related to fleet and staff requirements, as well as, indirect costs imposed by wasted doses. A two-step decomposition strategy based on a divide-and-conquer and an aggregation approach is proposed for the solution of large-scale problems. The applicability and efficiency of the proposed optimization-based framework is illustrated on a study case that simulates the Greek nationwide vaccination program. Finally, a rolling horizon technique is employed to reactively deal with possible disturbances in the vaccination plans. The proposed mathematical framework facilitates the decision-making process in COVID-19 vaccine supply chains into minimizing the underlying costs and the number of doses lost. As a result, the efficiency of the distribution network is improved, thus assisting the mass vaccination campaigns against COVID-19.
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Affiliation(s)
- Georgios P Georgiadis
- Department of Chemical Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Michael C Georgiadis
- Department of Chemical Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
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Tsimopoulos EG, Georgiadis MC. Withholding strategies for a conventional and wind generation portfolio in a joint energy and reserve pool market: A gaming-based approach. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2019.106692] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Affiliation(s)
- Apostolos P. Elekidis
- Department of Chemical Engineering, Aristotle University of Thessaloniki, University Campus, 54124 Thessaloniki, Greece
- Chemical Process and Energy Resource Institute (CPERI), Centre for Research and Technology Hellas (CERTH), P.O. Box
60361, 57001 Thessaloniki, Greece
| | | | - Michael C. Georgiadis
- Department of Chemical Engineering, Aristotle University of Thessaloniki, University Campus, 54124 Thessaloniki, Greece
- Chemical Process and Energy Resource Institute (CPERI), Centre for Research and Technology Hellas (CERTH), P.O. Box
60361, 57001 Thessaloniki, Greece
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7
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Győrgy R, Klontzas ME, Kostoglou M, Panoskaltsis N, Mantalaris A, Georgiadis MC. Capturing Mesenchymal Stem Cell Heterogeneity during Osteogenic Differentiation: An Experimental–Modeling Approach. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.9b01988] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Romuald Győrgy
- Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece
| | - Michail E. Klontzas
- Biological Systems Engineering Laboratory, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, United Kingdom
- School of Medicine, Emory University, Atlanta, Georgia 30332, United States
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Margaritis Kostoglou
- Department of Chemistry, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece
| | - Nicki Panoskaltsis
- School of Medicine, Emory University, Atlanta, Georgia 30332, United States
- Department of Haematology, Imperial College London, London SW7 2AZ, United Kingdom
| | - Athanasios Mantalaris
- Biological Systems Engineering Laboratory, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, United Kingdom
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Michael C. Georgiadis
- Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece
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Karakostas P, Sifaleras A, Georgiadis MC. A general variable neighborhood search-based solution approach for the location-inventory-routing problem with distribution outsourcing. Comput Chem Eng 2019. [DOI: 10.1016/j.compchemeng.2019.04.015] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Affiliation(s)
- Georgios P. Georgiadis
- Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece
- Chemical Process and Energy Resources Institute (CPERI), Centre for Research and Technology Hellas (CERTH), P.O. Box 60361, 57001, Thessaloniki, Greece
| | - Georgios M. Kopanos
- Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece
| | | | | | - Michael C. Georgiadis
- Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece
- Chemical Process and Energy Resources Institute (CPERI), Centre for Research and Technology Hellas (CERTH), P.O. Box 60361, 57001, Thessaloniki, Greece
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10
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Tsimopoulos EG, Georgiadis MC. Strategic offers in day‐ahead market co‐optimizing energy and reserve under high penetration of wind power production: An MPEC approach. AIChE J 2019. [DOI: 10.1002/aic.16495] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Evangelos G. Tsimopoulos
- Dept. of Chemical Engineering School of EngineeringAristotle University of Thessaloniki Thessaloniki 54124 Greece
| | - Michael C. Georgiadis
- Dept. of Chemical Engineering School of EngineeringAristotle University of Thessaloniki Thessaloniki 54124 Greece
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Elekidis AP, Koltsaklis NE, Georgiadis MC. An Optimization Approach for the Assessment of the Impact of Transmission Capacity on Electricity Trade and Power Systems Planning. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.7b05159] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Apostolos P. Elekidis
- Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece
| | - Nikolaos E. Koltsaklis
- Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece
| | - Michael C. Georgiadis
- Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece
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Ziogou C, Voutetakis S, Georgiadis MC, Papadopoulou S. Model predictive control (MPC) strategies for PEM fuel cell systems – A comparative experimental demonstration. Chem Eng Res Des 2018. [DOI: 10.1016/j.cherd.2018.01.024] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Nikolaidis GN, Kikkinides ES, Georgiadis MC. A model-based approach for the evaluation of new zeolite 13X-based adsorbents for the efficient post-combustion CO2 capture using P/VSA processes. Chem Eng Res Des 2018. [DOI: 10.1016/j.cherd.2017.06.016] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Georgiadis MC, Liu P, Kopanos GM. Special issue — Energy systems engineering. Chem Eng Res Des 2018. [DOI: 10.1016/j.cherd.2018.03.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Nikolaidis GN, Kikkinides ES, Georgiadis MC. An Integrated Two-Stage P/VSA Process for Postcombustion CO2 Capture Using Combinations of Adsorbents Zeolite 13X and Mg-MOF-74. Ind Eng Chem Res 2017. [DOI: 10.1021/acs.iecr.6b04270] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- George N. Nikolaidis
- Department of Chemical Engineering, Aristotle University of Thessaloniki, University Campus, 54124 Thessaloniki, Greece
| | - Eustathios S. Kikkinides
- Department of Chemical Engineering, Aristotle University of Thessaloniki, University Campus, 54124 Thessaloniki, Greece
| | - Michael C. Georgiadis
- Department of Chemical Engineering, Aristotle University of Thessaloniki, University Campus, 54124 Thessaloniki, Greece
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Kostoglou M, Fuentes-Garí M, García-Münzer D, Georgiadis MC, Panoskaltsis N, Pistikopoulos EN, Mantalaris A. A comprehensive mathematical analysis of a novel multistage population balance model for cell proliferation. Comput Chem Eng 2016. [DOI: 10.1016/j.compchemeng.2016.02.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Fuentes-Garí M, Misener R, García-Munzer D, Velliou E, Georgiadis MC, Kostoglou M, Pistikopoulos EN, Panoskaltsis N, Mantalaris A. A mathematical model of subpopulation kinetics for the deconvolution of leukaemia heterogeneity. J R Soc Interface 2016; 12:20150276. [PMID: 26040591 DOI: 10.1098/rsif.2015.0276] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Acute myeloid leukaemia is characterized by marked inter- and intra-patient heterogeneity, the identification of which is critical for the design of personalized treatments. Heterogeneity of leukaemic cells is determined by mutations which ultimately affect the cell cycle. We have developed and validated a biologically relevant, mathematical model of the cell cycle based on unique cell-cycle signatures, defined by duration of cell-cycle phases and cyclin profiles as determined by flow cytometry, for three leukaemia cell lines. The model was discretized for the different phases in their respective progress variables (cyclins and DNA), resulting in a set of time-dependent ordinary differential equations. Cell-cycle phase distribution and cyclin concentration profiles were validated against population chase experiments. Heterogeneity was simulated in culture by combining the three cell lines in a blinded experimental set-up. Based on individual kinetics, the model was capable of identifying and quantifying cellular heterogeneity. When supplying the initial conditions only, the model predicted future cell population dynamics and estimated the previous heterogeneous composition of cells. Identification of heterogeneous leukaemia clones at diagnosis and post-treatment using such a mathematical platform has the potential to predict multiple future outcomes in response to induction and consolidation chemotherapy as well as relapse kinetics.
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Affiliation(s)
- María Fuentes-Garí
- Biological Systems Engineering Laboratory, Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Ruth Misener
- Department of Computing, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - David García-Munzer
- Biological Systems Engineering Laboratory, Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Eirini Velliou
- Department of Chemical and Process Engineering, University of Surrey, Guildford GU2 7XH, UK
| | | | | | | | - Nicki Panoskaltsis
- Department of Hematology, Imperial College London, Northwick Park and St Mark's Campus, Harrow HA1 3UJ, UK
| | - Athanasios Mantalaris
- Biological Systems Engineering Laboratory, Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
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Nikolaidis GN, Kikkinides ES, Georgiadis MC. Model-Based Approach for the Evaluation of Materials and Processes for Post-Combustion Carbon Dioxide Capture from Flue Gas by PSA/VSA Processes. Ind Eng Chem Res 2016. [DOI: 10.1021/acs.iecr.5b02845] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- George N. Nikolaidis
- Department of Chemical Engineering, Aristotle University of Thessaloniki, University Campus, 54124 Thessaloniki, Greece
- Chemical
Process and Energy
Resources Institute (CPERI), Centre for Research and Technology Hellas (CERTH), sixth km Charilaou Thermi Rd., 57001 Thermi-Thessaloniki, Greece
| | - Eustathios S. Kikkinides
- Department of Chemical Engineering, Aristotle University of Thessaloniki, University Campus, 54124 Thessaloniki, Greece
- Chemical
Process and Energy
Resources Institute (CPERI), Centre for Research and Technology Hellas (CERTH), sixth km Charilaou Thermi Rd., 57001 Thermi-Thessaloniki, Greece
| | - Michael C. Georgiadis
- Department of Chemical Engineering, Aristotle University of Thessaloniki, University Campus, 54124 Thessaloniki, Greece
- Chemical
Process and Energy
Resources Institute (CPERI), Centre for Research and Technology Hellas (CERTH), sixth km Charilaou Thermi Rd., 57001 Thermi-Thessaloniki, Greece
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Fuentes-Garí M, Misener R, Georgiadis MC, Kostoglou M, Panoskaltsis N, Mantalaris A, Pistikopoulos EN. Selecting a Differential Equation Cell Cycle Model for Simulating Leukemia Treatment. Ind Eng Chem Res 2015. [DOI: 10.1021/acs.iecr.5b01150] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
| | | | | | | | - Nicki Panoskaltsis
- Centre
for Haematology, Imperial College London, Northwick Park Campus, HA1
3LY, London, U.K
| | | | - Efstratios N. Pistikopoulos
- Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, Texas 77843, United States
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Longinidis P, Georgiadis MC, Kozanidis G. Integrating Operational Hedging of Exchange Rate Risk in the Optimal Design of Global Supply Chain Networks. Ind Eng Chem Res 2015. [DOI: 10.1021/acs.iecr.5b00349] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Pantelis Longinidis
- Department of Engineering Informatics & Telecommunications, University of Western Macedonia, Karamanli & Lygeris Street, 50100 Kozani, Greece
| | - Michael C. Georgiadis
- Department
of Chemical Engineering, Aristotle University of Thessaloniki, University
Campus, 54124 Thessaloniki, Greece
| | - George Kozanidis
- Department
of Mechanical Engineering, University of Thessaly, Leoforos Athinon,
Pedion Areos, 38334 Bolos, Greece
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26
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Zavitsanou S, Mantalaris A, Georgiadis MC, Pistikopoulos EN. In Silico Closed-Loop Control Validation Studies for Optimal Insulin Delivery in Type 1 Diabetes. IEEE Trans Biomed Eng 2015; 62:2369-78. [PMID: 25935026 DOI: 10.1109/tbme.2015.2427991] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
This study presents a general closed-loop control strategy for optimal insulin delivery in type 1 Diabetes Mellitus (T1DM). The proposed control strategy aims toward an individualized optimal insulin delivery that consists of a patient-specific model predictive controller, a state estimator, a personalized scheduling level, and an open-loop optimization problem subjected to patient-specific process model and constraints. This control strategy can be also modified to address the case of limited patient data availability resulting in an "approximation" control strategy. Both strategies are validated in silico in the presence of predefined and unknown meal disturbances using both a novel mathematical model of glucose-insulin interactions and the UVa/Padova Simulator model as a virtual patient. The robustness of the control performance is evaluated under several conditions such as skipped meals, variability in the meal time, and metabolic uncertainty. The simulation results of the closed-loop validation studies indicate that the proposed control strategies can potentially achieve improved glycaemic control.
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García Münzer DG, Kostoglou M, Georgiadis MC, Pistikopoulos EN, Mantalaris A. Cyclin and DNA distributed cell cycle model for GS-NS0 cells. PLoS Comput Biol 2015; 11:e1004062. [PMID: 25723523 PMCID: PMC4344234 DOI: 10.1371/journal.pcbi.1004062] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2014] [Accepted: 11/26/2014] [Indexed: 01/10/2023] Open
Abstract
Mammalian cell cultures are intrinsically heterogeneous at different scales (molecular to bioreactor). The cell cycle is at the centre of capturing heterogeneity since it plays a critical role in the growth, death, and productivity of mammalian cell cultures. Current cell cycle models use biological variables (mass/volume/age) that are non-mechanistic, and difficult to experimentally determine, to describe cell cycle transition and capture culture heterogeneity. To address this problem, cyclins-key molecules that regulate cell cycle transition-have been utilized. Herein, a novel integrated experimental-modelling platform is presented whereby experimental quantification of key cell cycle metrics (cell cycle timings, cell cycle fractions, and cyclin expression determined by flow cytometry) is used to develop a cyclin and DNA distributed model for the industrially relevant cell line, GS-NS0. Cyclins/DNA synthesis rates were linked to stimulatory/inhibitory factors in the culture medium, which ultimately affect cell growth. Cell antibody productivity was characterized using cell cycle-specific production rates. The solution method delivered fast computational time that renders the model's use suitable for model-based applications. Model structure was studied by global sensitivity analysis (GSA), which identified parameters with a significant effect on the model output, followed by re-estimation of its significant parameters from a control set of batch experiments. A good model fit to the experimental data, both at the cell cycle and viable cell density levels, was observed. The cell population heterogeneity of disturbed (after cell arrest) and undisturbed cell growth was captured proving the versatility of the modelling approach. Cell cycle models able to capture population heterogeneity facilitate in depth understanding of these complex systems and enable systematic formulation of culture strategies to improve growth and productivity. It is envisaged that this modelling approach will pave the model-based development of industrial cell lines and clinical studies.
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Affiliation(s)
- David G. García Münzer
- Biological Systems Engineering Laboratory, Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, London, United Kingdom
| | - Margaritis Kostoglou
- Department of Chemistry, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Michael C. Georgiadis
- Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Efstratios N. Pistikopoulos
- Biological Systems Engineering Laboratory, Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, London, United Kingdom
| | - Athanasios Mantalaris
- Biological Systems Engineering Laboratory, Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, London, United Kingdom
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Kalaitzidou MA, Longinidis P, Tsiakis P, Georgiadis MC. Optimal Design of Multiechelon Supply Chain Networks with Generalized Production and Warehousing Nodes. Ind Eng Chem Res 2014. [DOI: 10.1021/ie501931n] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Magdalini A. Kalaitzidou
- Department
of Chemical Engineering, Aristotle University of Thessaloniki, University
Campus, 54124 Thessaloniki, Greece
| | - Pantelis Longinidis
- Department of Engineering Informatics & Telecommunications, University of Western Macedonia, Karamanli & Lygeris Street, 50100 Kozani, Greece
| | - Panagiotis Tsiakis
- Wipro Consulting
Services, 3 Sheldon Square, London W2 6PS, United Kingdom
| | - Michael C. Georgiadis
- Department
of Chemical Engineering, Aristotle University of Thessaloniki, University
Campus, 54124 Thessaloniki, Greece
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Pefani E, Panoskaltsis N, Mantalaris A, Georgiadis MC, Pistikopoulos EN. Chemotherapy drug scheduling for the induction treatment of patients with acute myeloid leukemia. IEEE Trans Biomed Eng 2014; 61:2049-56. [PMID: 24686224 DOI: 10.1109/tbme.2014.2313226] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Leukemia is an immediately life-threatening cancer wherein immature blood cells are overproduced, accumulate in the bone marrow (BM) and blood and causes immune and blood system failure. Treatment with chemotherapy can be intensive or nonintensive and can also be life-threatening since only relatively few patient-specific and leukemia-specific factors are considered in current protocols. We have already presented a mathematical model for one intensive chemotherapy cycle with intravenous (i.v.) daunorubicin (DNR), and cytarabine (Ara-C). This model is now extended to nonintensive subcutaneous (SC) Ara-C and for a standard intensive chemotherapy course (four cycles), consistent with clinical practice. Model parameters mainly consist of physiological patient data, indicators of tumor burden and characteristics of cell cycle kinetics. A sensitivity analysis problem is solved and cell cycle parameters are identified to control treatment outcome. Simulation results using published cell cycle data from two acute myeloid leukemia patients are presented for a course of standard treatment using intensive and nonintensive protocols. The aim of remission-induction therapy is to debulk the tumor and achieve normal BM function; by treatment completion, the total leukemic population should be reduced to at most 10(9) cells, at which point BM hypoplasia is achieved. The normal cell number should be higher than that of the leukemic, and a 3-log reduction is the maximum permissible level of population reduction. This optimization problem is formulated and solved for the two patient case studies. The results clearly present the benefits from the use of optimization as an advisory tool for treatment design.
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Koltsaklis NE, Kopanos GM, Georgiadis MC. Design and Operational Planning of Energy Networks Based on Combined Heat and Power Units. Ind Eng Chem Res 2014. [DOI: 10.1021/ie404165c] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Nikolaos E. Koltsaklis
- Aristotle
University of Thessaloniki, Department of Chemical Engineering, 54124 Thessaloniki, Greece
| | - Georgios M. Kopanos
- Aristotle
University of Thessaloniki, Department of Chemical Engineering, 54124 Thessaloniki, Greece
- Imperial
College London, Department of Chemical Engineering, Centre for Process
Systems Engineering, SW7
2AZ London, U.K
| | - Michael C. Georgiadis
- Aristotle
University of Thessaloniki, Department of Chemical Engineering, 54124 Thessaloniki, Greece
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Krieger A, Panoskaltsis N, Mantalaris A, Georgiadis MC, Pistikopoulos EN. Modeling and Analysis of Individualized Pharmacokinetics and Pharmacodynamics for Volatile Anesthesia. IEEE Trans Biomed Eng 2014; 61:25-34. [DOI: 10.1109/tbme.2013.2274816] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Pefani E, Panoskaltsis N, Mantalaris A, Georgiadis MC, Pistikopoulos EN. Design of optimal patient-specific chemotherapy protocols for the treatment of acute myeloid leukemia (AML). Comput Chem Eng 2013. [DOI: 10.1016/j.compchemeng.2013.02.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Ziogou C, Pistikopoulos EN, Georgiadis MC, Voutetakis S, Papadopoulou S. Empowering the Performance of Advanced NMPC by Multiparametric Programming—An Application to a PEM Fuel Cell System. Ind Eng Chem Res 2013. [DOI: 10.1021/ie303477h] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Chrysovalantou Ziogou
- Chemical Process and Energy Resources Institute (CPERI), Centre for Research and Technology Hellas (CERTH), PO
Box 60361, 57001 Thessaloniki, Greece
- Department of Engineering Informatics and Telecommunications, University of Western Macedonia, Vermiou and Lygeris
str., 50100 Kozani, Greece
| | - Efstratios N. Pistikopoulos
- Department of Chemical Engineering, Centre for Process Systems Engineering, Imperial College London, SW7 2AZ London, United Kingdom
| | - Michael C. Georgiadis
- Chemical Process and Energy Resources Institute (CPERI), Centre for Research and Technology Hellas (CERTH), PO
Box 60361, 57001 Thessaloniki, Greece
- Department of Engineering Informatics and Telecommunications, University of Western Macedonia, Vermiou and Lygeris
str., 50100 Kozani, Greece
| | - Spyros Voutetakis
- Chemical Process and Energy Resources Institute (CPERI), Centre for Research and Technology Hellas (CERTH), PO
Box 60361, 57001 Thessaloniki, Greece
| | - Simira Papadopoulou
- Chemical Process and Energy Resources Institute (CPERI), Centre for Research and Technology Hellas (CERTH), PO
Box 60361, 57001 Thessaloniki, Greece
- Department of Automation, Alexander Technological Educational Institute of Thessaloniki, PO Box 141, 54700 Thessaloniki, Greece
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Zhou Z, Liu P, Li Z, Pistikopoulos EN, Georgiadis MC. Impacts of equipment off-design characteristics on the optimal design and operation of combined cooling, heating and power systems. Comput Chem Eng 2013. [DOI: 10.1016/j.compchemeng.2012.08.007] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Pistikopoulos EN, Georgiadis MC, Kokossis A. CACE Special Issue of ESCAPE-21. Comput Chem Eng 2012. [DOI: 10.1016/j.compchemeng.2012.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Kopanos GM, Puigjaner L, Georgiadis MC. Efficient mathematical frameworks for detailed production scheduling in food processing industries. Comput Chem Eng 2012. [DOI: 10.1016/j.compchemeng.2011.12.015] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Zhou Z, Liu P, Li Z, Pistikopoulos EN, Georgiadis MC. Impacts of equipment off-design characteristics on the optimal design and operation of combined cooling, heating and power systems. Computer Aided Chemical Engineering 2012. [DOI: 10.1016/b978-0-444-59506-5.50029-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
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Pistikopoulos EN, Georgiadis MC. Preface. Comput Chem Eng 2011. [DOI: 10.1016/j.compchemeng.2011.06.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Affiliation(s)
- Georgios M. Kopanos
- Department of Chemical Engineering, Universitat Politècnica de Catalunya, ETSEIB, Av. Diagonal 647, Barcelona 08028, Spain
| | - Luis Puigjaner
- Department of Chemical Engineering, Universitat Politècnica de Catalunya, ETSEIB, Av. Diagonal 647, Barcelona 08028, Spain
| | - Michael C. Georgiadis
- Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece
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Affiliation(s)
- Pei Liu
- Department of Thermal Engineering, Tsinghua University, Beijing 100084, China
| | - Michael C. Georgiadis
- Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece
- Centre for Process Systems Engineering (CPSE), Department of Chemical Engineering, Imperial College London, London SW7 2AZ, United Kingdom
| | - Efstratios N. Pistikopoulos
- Centre for Process Systems Engineering (CPSE), Department of Chemical Engineering, Imperial College London, London SW7 2AZ, United Kingdom
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Affiliation(s)
- Georgios M. Kopanos
- Department of Chemical Engineering, Universitat Politècnica de Catalunya, ETSEIB, Av. Diagonal 647, 08028 Barcelona, Spain, and Department of Engineering Informatics & Telecommunications, University of Western Macedonia, Karamanli & Lygeris, 50100 Kozani, Greece
| | - Luis Puigjaner
- Department of Chemical Engineering, Universitat Politècnica de Catalunya, ETSEIB, Av. Diagonal 647, 08028 Barcelona, Spain, and Department of Engineering Informatics & Telecommunications, University of Western Macedonia, Karamanli & Lygeris, 50100 Kozani, Greece
| | - Michael C. Georgiadis
- Department of Chemical Engineering, Universitat Politècnica de Catalunya, ETSEIB, Av. Diagonal 647, 08028 Barcelona, Spain, and Department of Engineering Informatics & Telecommunications, University of Western Macedonia, Karamanli & Lygeris, 50100 Kozani, Greece
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Affiliation(s)
- Dragan Nikolić
- Department of Mechanical Engineering, University of Western Macedonia, Sialvera & Bakola Str., 50100 Kozani, Greece, and Department of Engineering Informatics and Telecommunications, University of Western Macedonia, Karamanli & Lygeris Str., 50100 Kozani, Greece
| | - Eustathios S. Kikkinides
- Department of Mechanical Engineering, University of Western Macedonia, Sialvera & Bakola Str., 50100 Kozani, Greece, and Department of Engineering Informatics and Telecommunications, University of Western Macedonia, Karamanli & Lygeris Str., 50100 Kozani, Greece
| | - Michael C. Georgiadis
- Department of Mechanical Engineering, University of Western Macedonia, Sialvera & Bakola Str., 50100 Kozani, Greece, and Department of Engineering Informatics and Telecommunications, University of Western Macedonia, Karamanli & Lygeris Str., 50100 Kozani, Greece
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Nikolic D, Giovanoglou A, Georgiadis MC, Kikkinides ES. Generic Modeling Framework for Gas Separations Using Multibed Pressure Swing Adsorption Processes. Ind Eng Chem Res 2008. [DOI: 10.1021/ie0712582] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Dragan Nikolic
- Department of Engineering and Management of Energy Resources, University of Western Macedonia, Sialvera & Bakola Str., 50100 Kozani, Greece, Thermi Business Incubator, Process Systems Enterprise Ltd, 9th Km Thessaloniki-Thermi, 57001 Thessaloniki-Thermi, Greece, Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, U.K
| | - Apostolos Giovanoglou
- Department of Engineering and Management of Energy Resources, University of Western Macedonia, Sialvera & Bakola Str., 50100 Kozani, Greece, Thermi Business Incubator, Process Systems Enterprise Ltd, 9th Km Thessaloniki-Thermi, 57001 Thessaloniki-Thermi, Greece, Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, U.K
| | - Michael C. Georgiadis
- Department of Engineering and Management of Energy Resources, University of Western Macedonia, Sialvera & Bakola Str., 50100 Kozani, Greece, Thermi Business Incubator, Process Systems Enterprise Ltd, 9th Km Thessaloniki-Thermi, 57001 Thessaloniki-Thermi, Greece, Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, U.K
| | - Eustathios S. Kikkinides
- Department of Engineering and Management of Energy Resources, University of Western Macedonia, Sialvera & Bakola Str., 50100 Kozani, Greece, Thermi Business Incubator, Process Systems Enterprise Ltd, 9th Km Thessaloniki-Thermi, 57001 Thessaloniki-Thermi, Greece, Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, U.K
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Akinlabi CO, Gerogiorgis DI, Georgiadis MC, Pistikopoulos EN. Modelling, design and optimisation of a hybrid PSA-membrane gas separation process. Computer Aided Chemical Engineering 2007. [DOI: 10.1016/s1570-7946(07)80084-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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Kikkinides ES, Konstantakou M, Georgiadis MC, Steriotis TA, Stubos AK. Multiscale modeling and optimization of H2 storage using nanoporous adsorbents. AIChE J 2006. [DOI: 10.1002/aic.10910] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Georgiadis MC, Schenk M, Pistikopoulos EN, Gani R. The interactions of design control and operability in reactive distillation systems. Comput Chem Eng 2002. [DOI: 10.1016/s0098-1354(01)00774-8] [Citation(s) in RCA: 80] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Affiliation(s)
- Nikolaos F. Giannelos
- Centre for Research and TechnologyHellas, Chemical Process Engineering Research Institute, P.O. Box 361, Thermi, 57001 Thessaloniki, Greece
| | - Michael C. Georgiadis
- Centre for Research and TechnologyHellas, Chemical Process Engineering Research Institute, P.O. Box 361, Thermi, 57001 Thessaloniki, Greece
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