- Email: [email protected]
Computers & Chemical Engineering: Best paper of 2009
Computers and Chemical Engineering 35 (2011) 391–392
Contents lists available at ScienceDirect
Computers and Chemical Engineering journal homepage: www.elsevier.com/locate/compchemeng
Editorial
Computers & Chemical Engineering: Best paper of 2009
The Editorial Advisory Board of the Journal has assessed the papers published in Volume 33 by means of a three stage process of nomination and balloting. We are pleased to announce that the 2009 Best Paper of the Year Award goes to J.M. Harrold and R.S. Parker for their paper entitled “Clinically relevant cancer chemotherapy dose scheduling via mixed-integer optimization” (Vol. 33, Issue 12, 2042–2054, 2009). Our hearty congratulations to the co-authors! This paper presents a process systems engineering approach to an important problem in which practical criteria from clinicians are included in the formulation of the problem of optimal chemotherapy dose scheduling. Chemotherapy is commonly employed as a treatment to cancer by clinicians, who must deliver the agent on a schedule that balances treatment efficacy with the toxic side effects. Typically, past contributions to this literature have involved mathematically elegant solutions while the clinical utility of such results is limited by the formulation of the problem. Harrold and Parker address this issue and develop a systems engineering methodology which can explicitly account for the constraints clinicians consider implicitly. They demonstrate the clinical relevance of this methodology on two case studies: a theoretical system from the literature and a preclinical mouse model. The problem formulation is accomplished in a mixed-integer programming framework that is capable of solving problems with complex objectives and constraints yielding results that are clinically relevant. Thus, this paper provides an important step towards moving optimal chemotherapy dosing beyond being a mere academic exercise in mathematical programming. The Editorial Advisory Board selected this paper for its clinically relevant mathematical formalism, exploiting process systems engineering methodologies, for an important class of diseases. The readers of the Journal are reminded that signed nominations are accepted from the readership for the first round of the process of selecting the Best Paper of each year. Nominations should be sent to the editors or any member of the Editorial Advisory Board by May of the year following the year in which the paper appeared.
namic (PD) models. The results typically involve mathematically elegant solutions, although the clinical utility of such results is limited by the formulation of the problem as well as the level of abstraction. At issue is the common disconnect between solutions that are mathematically versus clinically optimal. The focus of this work is to develop a methodology which can explicitly account for the constraints clinicians consider implicitly. To demonstrate the clinical relevance of this methodology two case studies were considered: a theoretical system from the literature and a preclinical mouse model. The problem formulation is accomplished in a mixed-integer programming framework that is capable of solving problems with complex objectives and constraints yielding results that are clinically relevant. Authors
John Harrold received B.S. and M.S. degrees from the Department of Chemical Engineering at the University of Arkansas at Fayetteville, and obtained a Ph.D. from the Department of Chemical and Petroleum Engineering at the University of Pittsburgh. Currently John is working as a systems pharmacologist in preclinical and translational drug development with Pfizer in the Andover/Cambridge, MA area.
Clinically relevant cancer chemotherapy dose scheduling via mixed-integer optimization (CACE 33(12), 2042–2054, 2009) Cancer is a class of diseases characterized by an imbalance between cell proliferation and programmed cell death. Chemotherapy is commonly employed as a treatment by clinicians, who must deliver the agent on a schedule that balances treatment efficacy with the toxic side effects. Engineers have considered the development of drug administration schedules for simulated cancer patients constrained by pharmacokinetic (PK) and pharmacody0098-1354/$ – see front matter © 2011 Elsevier Ltd. All rights reserved. doi:10.1016/j.compchemeng.2011.01.001
Robert S. Parker completed his B.S. in Chemical Engineering from the University of Rochester and the Ph.D. degree from the University of Delaware. He is currently an Associate Professor and the graduate program coordinator for the Department of Chemical and Petroleum Engineering at the University of Pittsburgh, Pittsburgh, PA. The focus of the Parker lab is in the area of systems medicine, with foci in cancer, diabetes, and inflammation/sepsis.
392
Editorial / Computers and Chemical Engineering 35 (2011) 391–392
List of best paper award winners from 2000 – present. Year*
Authors
Title
Issue details
2009
J.M. Harrold and R.S. Parker
33(12), 2042
2008
M.R. Somayaji, M. Xenos, L. Zhang, M. Mekarski and A.A. Linninger S. Qamar, A. Ashfaq, G. Warnecke, I. Angelov, M.P. Elsner and A. Seidel-Morgenstern V. Venkatasubramanian, C. Zhao, G. Joglekar, A. Jain, L. Hailemariam, P. Suresh, P. Akkisetty, K. Morris and G.V. Reklaitis F.J. Doyle III, R. Gunawan, N. Bagheri, H. Mirsky and T.L. To
Clinically relevant cancer chemotherapy dose scheduling via mixed-integer optimization Systematic design of drug delivery therapies Adaptive high-resolution schemes for multidimensional population balances in crystallization processes Ontological informatics infrastructure for pharmaceutical product development and manufacturing
31(10), 1296
Circadian rhythm: A natural, robust, multi-scale control system Near-optimal operation by self-optimizing control: From process control to marathon running and business systems Design of process operations using hybrid dynamic optimization Dynamic optimization of batch processes: I. Characterization of the nominal solution Agent-based supply chain management—2: A refinery application A systematic method for reaction invariants and mole balances for complex chemistries New algorithms for nonlinear generalized disjunctive programming
30(10–12), 1700
2007 2006 (joint winners)
2004 (joint winners)
S. Skogestad P.I. Barton and C.K. Lee
2003
B. Srinivasan, S. Palanki and D. Bonvin
2002
N. Julka, I. Karimi and R. Srinivasan
2001
S.B. Gadewar, M.F. Doherty and M.F. Malone
2000
S. Lee and I.E. Grossmann
*
32(1–2), 89
30(10–12), 1482
29(1), 127 28(6–7), 955 27(1), 1 26(12), 1777 25(9–10), 1999 24(9–10), 2125
Indicates publication year.
Venkat Venkatasubramanian Purdue University, School of Chemical Engineering, 480 Stadium Mall Drive, West Lafayette, IN, USA Rafiqul Gani ∗ Technical University of Denmark, CAPEC, Department of Chemical and Biochemical Engineering, Soltøfts, Plads, Building 229, DK-2800 Lyngby, Denmark ∗ Corresponding
author. E-mail address:[email protected] (R. Gani) Available online 7 January 2011
Contents lists available at ScienceDirect
Computers and Chemical Engineering journal homepage: www.elsevier.com/locate/compchemeng
Editorial
Computers & Chemical Engineering: Best paper of 2009
The Editorial Advisory Board of the Journal has assessed the papers published in Volume 33 by means of a three stage process of nomination and balloting. We are pleased to announce that the 2009 Best Paper of the Year Award goes to J.M. Harrold and R.S. Parker for their paper entitled “Clinically relevant cancer chemotherapy dose scheduling via mixed-integer optimization” (Vol. 33, Issue 12, 2042–2054, 2009). Our hearty congratulations to the co-authors! This paper presents a process systems engineering approach to an important problem in which practical criteria from clinicians are included in the formulation of the problem of optimal chemotherapy dose scheduling. Chemotherapy is commonly employed as a treatment to cancer by clinicians, who must deliver the agent on a schedule that balances treatment efficacy with the toxic side effects. Typically, past contributions to this literature have involved mathematically elegant solutions while the clinical utility of such results is limited by the formulation of the problem. Harrold and Parker address this issue and develop a systems engineering methodology which can explicitly account for the constraints clinicians consider implicitly. They demonstrate the clinical relevance of this methodology on two case studies: a theoretical system from the literature and a preclinical mouse model. The problem formulation is accomplished in a mixed-integer programming framework that is capable of solving problems with complex objectives and constraints yielding results that are clinically relevant. Thus, this paper provides an important step towards moving optimal chemotherapy dosing beyond being a mere academic exercise in mathematical programming. The Editorial Advisory Board selected this paper for its clinically relevant mathematical formalism, exploiting process systems engineering methodologies, for an important class of diseases. The readers of the Journal are reminded that signed nominations are accepted from the readership for the first round of the process of selecting the Best Paper of each year. Nominations should be sent to the editors or any member of the Editorial Advisory Board by May of the year following the year in which the paper appeared.
namic (PD) models. The results typically involve mathematically elegant solutions, although the clinical utility of such results is limited by the formulation of the problem as well as the level of abstraction. At issue is the common disconnect between solutions that are mathematically versus clinically optimal. The focus of this work is to develop a methodology which can explicitly account for the constraints clinicians consider implicitly. To demonstrate the clinical relevance of this methodology two case studies were considered: a theoretical system from the literature and a preclinical mouse model. The problem formulation is accomplished in a mixed-integer programming framework that is capable of solving problems with complex objectives and constraints yielding results that are clinically relevant. Authors
John Harrold received B.S. and M.S. degrees from the Department of Chemical Engineering at the University of Arkansas at Fayetteville, and obtained a Ph.D. from the Department of Chemical and Petroleum Engineering at the University of Pittsburgh. Currently John is working as a systems pharmacologist in preclinical and translational drug development with Pfizer in the Andover/Cambridge, MA area.
Clinically relevant cancer chemotherapy dose scheduling via mixed-integer optimization (CACE 33(12), 2042–2054, 2009) Cancer is a class of diseases characterized by an imbalance between cell proliferation and programmed cell death. Chemotherapy is commonly employed as a treatment by clinicians, who must deliver the agent on a schedule that balances treatment efficacy with the toxic side effects. Engineers have considered the development of drug administration schedules for simulated cancer patients constrained by pharmacokinetic (PK) and pharmacody0098-1354/$ – see front matter © 2011 Elsevier Ltd. All rights reserved. doi:10.1016/j.compchemeng.2011.01.001
Robert S. Parker completed his B.S. in Chemical Engineering from the University of Rochester and the Ph.D. degree from the University of Delaware. He is currently an Associate Professor and the graduate program coordinator for the Department of Chemical and Petroleum Engineering at the University of Pittsburgh, Pittsburgh, PA. The focus of the Parker lab is in the area of systems medicine, with foci in cancer, diabetes, and inflammation/sepsis.
392
Editorial / Computers and Chemical Engineering 35 (2011) 391–392
List of best paper award winners from 2000 – present. Year*
Authors
Title
Issue details
2009
J.M. Harrold and R.S. Parker
33(12), 2042
2008
M.R. Somayaji, M. Xenos, L. Zhang, M. Mekarski and A.A. Linninger S. Qamar, A. Ashfaq, G. Warnecke, I. Angelov, M.P. Elsner and A. Seidel-Morgenstern V. Venkatasubramanian, C. Zhao, G. Joglekar, A. Jain, L. Hailemariam, P. Suresh, P. Akkisetty, K. Morris and G.V. Reklaitis F.J. Doyle III, R. Gunawan, N. Bagheri, H. Mirsky and T.L. To
Clinically relevant cancer chemotherapy dose scheduling via mixed-integer optimization Systematic design of drug delivery therapies Adaptive high-resolution schemes for multidimensional population balances in crystallization processes Ontological informatics infrastructure for pharmaceutical product development and manufacturing
31(10), 1296
Circadian rhythm: A natural, robust, multi-scale control system Near-optimal operation by self-optimizing control: From process control to marathon running and business systems Design of process operations using hybrid dynamic optimization Dynamic optimization of batch processes: I. Characterization of the nominal solution Agent-based supply chain management—2: A refinery application A systematic method for reaction invariants and mole balances for complex chemistries New algorithms for nonlinear generalized disjunctive programming
30(10–12), 1700
2007 2006 (joint winners)
2004 (joint winners)
S. Skogestad P.I. Barton and C.K. Lee
2003
B. Srinivasan, S. Palanki and D. Bonvin
2002
N. Julka, I. Karimi and R. Srinivasan
2001
S.B. Gadewar, M.F. Doherty and M.F. Malone
2000
S. Lee and I.E. Grossmann
*
32(1–2), 89
30(10–12), 1482
29(1), 127 28(6–7), 955 27(1), 1 26(12), 1777 25(9–10), 1999 24(9–10), 2125
Indicates publication year.
Venkat Venkatasubramanian Purdue University, School of Chemical Engineering, 480 Stadium Mall Drive, West Lafayette, IN, USA Rafiqul Gani ∗ Technical University of Denmark, CAPEC, Department of Chemical and Biochemical Engineering, Soltøfts, Plads, Building 229, DK-2800 Lyngby, Denmark ∗ Corresponding
author. E-mail address:[email protected] (R. Gani) Available online 7 January 2011